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Elementary Statistics Homework  1  2  3  4  5-6  6.3-7   8-10   |  Tests Chapter  1-3   4   5-6  6.3-7  8-10    Final Review
Elementary Statistics (STA2023)
Homework 5 - 6

The binompdf function on your calculator is for finding the probability of exactly some number of successes. 
(binompdf = n, p, c)
Binomialcdf function allows us to calculate the probability of “c or fewer” successes,
for some number c.

 

TI84 Plus Instructions
Press 2ND | VARS
 
1 - normalpdf
2 – normalcdf
3 – invNorm
4
 

 
The table to the right lists probabilities for the corresponding numbers of girls in three births.
What is the random​ variable, what are its possible​ values, and are its values​ numerical?

 
Number_of_girls        P(x)
     0                               0.125
     1                               0.375
     2                               0.375
     3                               0.125
 
Choose the correct answer below.
A. The random variable is​ P(x), which is the probability of a number of girls in three births. The possible values of​ P(x) are 0.125 and 0.375. The values of the random value​ P(x) are numerical.
B. The random variable is​ x, which is the number of girls in three births. The possible values of x are​ 0, 1,​ 2, and 3. The values of the random value x are numerical.
C. The random variable is​ P(x), which is the probability of a number of girls in three births. The possible values of​ P(x) are 0.125 and 0.375. The values of the random value​ P(x) are not numerical.
D. The random variable is​ x, which is the number of girls in three births. The possible values of x are​ 0, 1,​ 2, and 3. The values of the random value x are not numerical.

 
Is the random variable given in the accompanying table discrete or​ continuous?
Explain.
 
Number of Girls, x            P(x)
0                                         0.063
1                                         0.25
2                                         0.375
3                                         0.25
4                                         0.063
 
The random variable given in the accompanying table is ___ because ___
discrete, there are a finite number of values
 
A variable is a quantity whose value changes.
 
A discrete variable is a variable whose value is obtained by counting.
Examples:
number of students present.
number of red marbles in a jar
number of heads when flipping three coins
students’ grade level
 
A continuous variable is a variable whose value is obtained by measuring.
Examples:
height of students in class
weight of students in class
time it takes to get to school.
distance traveled between classes.

 
Determine whether the value is a discrete random​ variable, continuous random​ variable, or not a random variable.
 
a. The weight of a Upper T dash bone steak
b. The number of points scored during a basketball game
c. The eye color of people on commercial aircraft flights
d. The number of people with blood type Upper A in a random sample of 47 people
e. The square footage of a house
f. The height of a randomly selected giraffe
 
a. Is the weight of a Upper T dash bone steak   a discrete random​ variable, a continuous random​ variable,
or not a random​ variable?

 
A. It is a discrete   random variable.
B. It is a continuous random variable.
C. It is not a random variable.
 
b. Is the number of points scored during a basketball game   a discrete random​ variable, a continuous random​ variable,
or not a random​ variable?

 
A. It is a discrete   random variable.
B. It is a continuous   random variable.
C. It is not a random variable
 
c. Is the eye color of people on commercial aircraft flights a discrete random​ variable, a continuous random​ variable,
or not a random​ variable?

 
A. It is a continuous random variable.
B. It is a discrete random variable.
C. It is not a random variable.
 
d. Is the number of people with blood type Upper A in a random sample of 47 people a discrete random​ variable,
a continuous random​ variable, or not a random​ variable?

 
A. It is a continuous random variable.
B. It is a discrete random variable.
C. It is not a random variable.
 
e. Is the square footage of a house   a discrete random​ variable, a continuous random​ variable, or not a random​ variable?
 
A. It is a continuous random variable.
B. It is a discrete random variable.
C. It is not a random variable.
 
f. Is the height of a randomly selected giraffe   a discrete random​ variable, a continuous random​ variable, or not a random​ variable?
 
A. It is a continuous random variable.
B. It is a discrete random variable.
C. It is not a random variable.



Five males with an​ X-linked genetic disorder have one child each. The random variable x is the number of children
among the five who inherit the​ X-linked genetic disorder. Determine whether a probability distribution is given. If a
probability distribution is​ given, find its mean and standard deviation. If a probability distribution is not​ given,
identify the requirements that are not satisfied.

 
x              P(x)
0              0.034
1              0.145
2              0.321
3              0.321
4              0.145
5              0.034
 
Does the table show a probability​ distribution? Select all that apply.
 
A. ​Yes, the table shows a probability distribution.
B. ​No, the random variable x is categorical instead of numerical.
C. ​No, not every probability is between 0 and 1 inclusive.
D. ​No, the sum of all the probabilities is not equal to 1.
E. ​No, the random variable​ x's number values are not associated with probabilities.
 
Find the mean of the random variable x. Select the correct choice below​ and, if​ necessary,
fill in the answer box to complete your choice.

 
A. mu ​2.5 child(ren) ​(Round to one decimal place as​ needed.)
B. The table does not show a probability distribution.
 
x              P(x)       
0 x          0.034     0
1 x          0.145     0.145
2 x          0.321     0.642
3 x          0.321     0.963
4 x          0.145     0.58
5 x          0.034     0.17
             Mean = 2.5
 
Please note to find the mean from L1, you will need to use L2 in the FreqList.
Just to be sure, go to: STAT > CALC > 1-Var Stats and FreqList: hit 2ND and the number 2.
  
STAT
EDIT
LINE
ENTER DATA/NUMBERS in L1 & L2
Then STAT
CALC
VAR STATS
CALCULATE
 x̅ = Mean
 
Find the standard deviation of the random variable x. Select the correct choice below​ and, if​ necessary,
fill in the answer box to complete your choice.

 
A. sd = ​1.1 child(ren) ​(Round to one decimal place as​ needed.)
B. The table does not show a probability distribution.
 
x              P(x)        x^2        
0              0.034     0 x =      0
1              0.145     1 x =      0.145
2              0.321     4 x =      1.284
3              0.321     9 x =      2.889
4              0.145     16 x =    2.32
5              0.034     25 x =    0.85
                                                7.488
Please note to find the mean from L1, you will need to use L2 in the FreqList.
Just to be sure, go to: STAT > CALC > 1-Var Stats and FreqList: hit 2ND and the number 2.

STAT
EDIT
LINE
ENTER DATA / NUMBERS in L1 & L2
STAT
CALC
VAR STATS
CALCULATE


σx = standard deviation

https://www.mathportal.org/calculators/statistics-calculator/probability-distributions-calculator.php


 
x              P(x)
0              0.001
1              0.008
2              0.028
3              0.063
 
Does the table show a probability​ distribution? Select all that apply.
A. Yes, the table shows a probability distribution.
B. ​No, the random variable x is categorical instead of numerical.
C. ​No, the random variable​ x's number values are not associated with probabilities.
D. ​No, the sum of all the probabilities is not equal to 1.
E. ​No, not every probability is between 0 and 1 inclusive
 
Find the mean of the random variable x. Select the correct choice below​ and, if​ necessary, fill in the answer box to complete your choice.
A. mu = women ​(Round to one decimal place as​ needed.)
B. The table does not show a probability distribution.
 
x              P(x)       
0              0.001     0
1              0.008     0.008
2              0.028     0.056
3              0.063     0.189
                Mean = 0.253
 
Find the standard deviation of the random variable x. Select the correct choice below​ and, if​ necessary, fill in the answer box to complete your choice.
 
A. SD = women ​(Round to one decimal place as​ needed.)
B. The table does not show a probability distribution.

A sociologist randomly selects single adults for different groups of​ three, and the random variable x is the number in the group who say that the most fun way to flirt is in person. Determine whether a probability distribution is given. If a probability distribution is​ given, find its mean and standard deviation. If a probability distribution is not​ given, identify the requirements that are not satisfied.
 
x              P(x)
0              0.086
1              0.331
2              0.428
3              0.155
 
Does the table show a probability​ distribution? Select all that apply.
 
A. ​Yes, the table shows a probability distribution.
B. ​No, not every probability is between 0 and 1 inclusive.
C. ​No, the random variable​ x's number values are not associated with probabilities.
D. ​No, the random variable x is categorical instead of numerical.
E. ​No, the sum of all the probabilities is not equal to 1.
 
Find the mean of the random variable x. Select the correct choice below​ and, if​ necessary, fill in the answer box to complete your choice.
 
A. mu = 1.7 ​adult(s) ​(Round to one decimal place as​ needed.)
B. The table does not show a probability distribution.
 
x              P(x)       
0    x     0.086       0
1    x     0.331       0.331
2    x     0.428       0.856
3    x     0.155       0.465
                mean = 1.652 (1.7 rounded)
 
Please note to find the mean from L1, you will need to use L2 in the FreqList.
Just to be sure, go to: STAT > CALC > 1-Var Stats and FreqList: hit 2ND and the number 2.
 
STAT     EDIT     LINE     ENTER DATA/NUMBERS in L1 & L2     Then STAT
CALC     VAR STATS     CALCULATE
 x̅ = Mean
 
Find the standard deviation of the random variable x. Select the correct choice below​ and, if​ necessary, fill in the answer box to complete your choice.
 
A. SD = 0.8 ​adult(s) ​(Round to one decimal place as​ needed.)
B. The table does not show a probability distribution
 
x              P(x)        x^2        
0              0.086     0              0
1              0.331     1              0.331
2              0.428     4              1.712
3              0.155     9              1.395
                                                3.438
 
Please note to find the mean from L1, you will need to use L2 in the FreqList.
Just to be sure, go to: STAT > CALC > 1-Var Stats and FreqList: hit 2ND and the number 2.
    
 

STAT
EDIT
ENTER DATA / NUMBERS in L1 & L2
STAT
CALC
VAR STATS
CALCULATE
σx = standard deviation

 
The accompanying table describes results from groups of 10 births from 10 different sets of parents.
The random variable x represents the number of girls among 10 children. Use the range rule of thumb to determine
whether 1 girl in 10 births is a significantly low number of girls.
 
x              P(x)
0              0.004
1              0.019
2              0.038
3              0.113
4              0.195
5              0.239
6              0.206
7              0.117
8              0.037
9              0.015
10           0.017
 
Use the range rule of thumb to identify a range of values that are not significant.
The maximum value in this range is 8.5 girls.
​(Round to one decimal place as​ needed.)
 
TI84 Plus Instructions
Stat
Edit
enter data in L1 and L2
stat
var stats
list L1
     freqlist L2
 
 
Maximum
 
The minimum value in this range is 1.7 girls.
Minimum Value = μ          
 
Based on the​ result, is 1 girl in 10 births a significantly low number of​ girls? Explain.
C. Yes, 1 girl is a significantly low number of​ girls, because 1 girl is below the range of values that are not significant.

 
The accompanying table describes results from groups of 8 births from 8 different sets of parents.
The random variable x represents the number of girls among 8 children.
Complete parts​ (a) through​ (d) below.
 
Number of Girls x             P(x)
0              0.004
1              0.038
2              0.113
3              0.186
4              0.318
5              0.186
6              0.113
7              0.038
8              0.004
 
a. Find the probability of getting exactly 6 girls in 8 births.  0.113
(Type an integer or a decimal. Do not​ round.)
 
b. Find the probability of getting 6 or more girls in 8 births. 0.155
​(Type an integer or a decimal. Do not​ round.)
 
0.113 + 0.038 + 0.004 = 0.155
 
c. Which probability is relevant for determining whether 6 is a significantly high number of girls in 8​ births:
the result from part​ (a) or part​ (b)?
 
A. The result from part​ a, since it less than the probability of the given or more extreme result.
B. The result from part​ a, since it is the exact probability being asked.
C. The result from part​ b, since it is the complement of the result of part a.
D. The result from part​ b, since it is the probability of the given or more extreme result.
 
d. Is 6 a significantly high number of girls in 8​ births? Why or why​ not?
Use 0.05 as the threshold for a significant event.
 
A. ​Yes, since the appropriate probability is less than​ 0.05, it is a significantly high number.
B. ​Yes, since the appropriate probability is greater than​ 0.05, it is a significantly high number.
C. ​No, since the appropriate probability is greater than​ 0.05, it is not a significantly high number.
D. ​No, since the appropriate probability is less than​ 0.05, it is not a significantly high number.

 
Refer to the accompanying​ table, which describes the number of adults in groups of five who reported sleepwalking.
Find the mean and standard deviation for the numbers of sleepwalkers in groups of five.
 
x              P(x)
0              0.192
1              0.354
2              0.295
3              0.129
4              0.027
5              0.003
 
The mean is 1.5 sleepwalker(s). ​(Round to one decimal place as​ needed.)
 
The standard deviation is ​sleepwalker(s).  1.0
​(Round to one decimal place as​ needed.)
 
TI84 Plus Instructions
Stat
Edit
enter data in L1 and L2
stat

var stats
list L1
     freqlist L2
 

 
A _____ random variable has either finite or countable number of values

Discrete

 
A _______ random variable has infinitely many values with measurements

Continuous


The _____ of a discrete random variable represents the mean value of the outcomes

Expected value
 

 
A sociologist randomly selects single adults for different groups of​ three, and the random variable x is the number in
the group who say that the most fun way to flirt is in person. Determine whether a probability distribution is given.
 If a probability distribution is​ given, find its mean and standard deviation. If a probability distribution is not​ given,
identify the requirements that are not satisfied.
 
x              P(x)
0              0.087
1              0.329
2              0.423
3              0.161
 
Does the table show a probability​ distribution? Select all that apply.
 
A. ​Yes, the table shows a probability distribution.
B. ​No, the random variable x is categorical instead of numerical.
C. ​No, the sum of all the probabilities is not equal to 1.
D. ​No, the random variable​ x's number values are not associated with probabilities.
E. ​No, not every probability is between 0 and 1 inclusive
 
Find the mean of the random variable x. Select the correct choice below​ and, if​ necessary,
fill in the answer box to complete your choice.
 
A. mu = 1.7 adult(s) ​(Round to one decimal place as​ needed.)
B. The table does not show a probability distribution.
 
x              P(x)       
0              0.087     0
1              0.329     0.329
2              0.423     0.846
3              0.161     0.483
                                1.658 or 1.7

Find the standard deviation of the random variable x. Select the correct choice below​ and,
if​ necessary, fill in the answer box to complete your choice.

A. SD =  .8 ​adult(s) ​(Round to one decimal place as​ needed.)
B. The table does not show a probability distribution
 
x              P(x)        X2                                           
0              0.087     0              x              0.087     0
1              0.329     1              x              0.329     0.329
2              0.423     4              x              0.423     1.692
3              0.161     9              x              0.161     1.449
                                                                                3.47
  TI84 Plus Instructions
2nd + X2
3.47 – 1.6582 = 0.8491383868 or 0.8
 
Use STAT on TI-84 Plus to find the standard deviation and round it to one decimal.
Use the first two columns.
Calc      Var Stats

 
Homework 5.2
 
Based on a​ survey, assume that 35% of consumers are comfortable having drones deliver their purchases.
Suppose that we want to find the probability that when five consumers are randomly​ selected, exactly three
of them are comfortable with delivery by drones. Identify the values of​ n, x,​ p, and q.
 
The value of n is 5 (five)      (Type an integer or a decimal. Do not​ round.)

The value of x is 3 (three)   (Type an integer or a decimal. Do not​ round.)
 
The value of p is .35            (Type an integer or a decimal. Do not​ round.)
 
The value of q is 0.65          (Type an integer or a decimal. Do not​ round.)
 
1 - 0.35 = 0.65

 
Determine whether the given procedure results in a binomial distribution​ (or a distribution that can be treated as​ binomial). If the procedure is not​ binomial, identify at least one requirement that is not satisfied.
Seven different senators from the current U.S. Congress are randomly selected without replacement and whether or not​ they've served over 2 terms is recorded. Does the probability experiment represent a binomial​ experiment?
 
A. ​No, because there are more than two mutually exclusive outcomes for each trial.
B. ​No, because the experiment is not performed a fixed number of times.
C. ​No, because the trials of the experiment are not independent and the probability of success differs from trial to trial.
D. ​Yes, because the experiment satisfies all the criteria for a binomial experiment.
 
Assume that a procedure yields a binomial distribution with n=6 trials and a probability of success of
p = 0.30.
Use a binomial probability table to find the probability that the number of successes x = exactly 4.
 
Click on the icon to view the binomial probabilities table.
P (4) = 0.060   ​(Round to three decimal places as​ needed.)
 
TI84 Plus Instructions

Press
2ND
VARS

Binompdf
:
Trials:    6
P:            0.30
x value: 4
Enter, Enter   = 0.059535 round to 0.060

 
Assume that random guesses are made for nine multiple choice questions on an SAT​ test, so that there are n = 9 ​trials,
each with probability of success​ (correct) given by p = 0.4 
Find the indicated probability for the number of correct answers.
Find the probability that the number x of correct answers is fewer than 4.

P (x < 4) = 0.4826    ​(Round to four decimal places as​ needed.)
 
TI84 Plus Instructions

Press    2ND     VARS
Binomcdf
Trails = 9
P: 0.4
X value = 3      (4 – 1 = 3)
= 0.482609664

Assume that random guesses are made for nine multiple choice questions on an SAT​ test, so that there are n = 9 ​trials,
each with probability of success​ (correct) given by p = 0.45. 
 
Find the indicated probability for the number of correct answers.
Find the probability that the number x of correct answers is fewer than 4.
 
P(x < 4) = 0.3614
 
TI84 Plus Instructions

2ND
VARS

Binomcdf

9
0.45
3        (4-1)
Highlight Paste
Press Enter, Enter
  = 0.3613846037

 
Assume that when adults with smartphones are randomly​ selected, 53​% use them in meetings or classes.
If 8 adult smartphone users are randomly​ selected, find the probability that exactly 3 of them use their
smartphones in meetings or classes.

The probability is 0.1912     (Round to four decimal places as​ needed.)
 
TI84 Plus Instructions
 
2ND
VARS
binompdf
8
0.53
3
  = 0.191207501
 
Assume that when adults with smartphones are randomly​ selected, 55​% use them in meetings or classes.
If 7 adult smartphone users are randomly​ selected, find the probability that exactly 5 of them use their smartphones
in meetings or classes.

The probability is 0.2140
​(Round to four decimal places as​ needed.)
 
TI84 Plus Instructions

2ND
VARS
binompdf
7
0.55
5
  = 0.2140216805

 
Assume that when adults with smartphones are randomly​ selected, 57 % use them in meetings or classes.  If 5 adult
smartphone users are randomly​ selected, find the probability that at least 3 of them use their smartphones in meetings or classes.
 
The probability is 0.6295
(Round to four decimal places as​ needed.)
 
1 - 0.57 = 0.43
x value (5 – 3) = 2
 

TI84 Plus Instructions
 
2ND
VARS

Binomcdf

5    
0.43     
2
= 0.6295450842


 
Assume that when adults with smartphones are randomly​ selected, 57​% use them in meetings or classes.
 If 10 adult smartphone users are randomly​ selected, find the probability that at least 4 of them use their
smartphones in meetings or classes.
 
The probability is 0.9194    (Round to four decimal places as​ needed.)
 
P = 1 - .57 = .43
x value 10 - 4 = 6

TI84 Plus Instructions

2ND
VARS
Binomcdf
10
.43
6
= 0.9194236892

 
Assume that when adults with smartphones are randomly​ selected, 56​% use them in meetings or classes.
If 7 adult smartphone users are randomly​ selected, find the probability that at least 3 of them use their
smartphones in meetings or classes.
 
The probability is 0.8598  ​(Round to four decimal places as​ needed.)
 
1 - 0.56 = 0.44
7 – 3 = 4

TI84 Plus Instructions
 
2ND
VARS
Binomcdf:
7
0.44
4
= 0.8597552431

 
Which of the following is not a requirement of the binomial probability​ distribution? Choose the correct answer below.
 
A. The probability of a success remains the same in all trials.
B. The trials must be dependent.
C. Each trial must have all outcomes classified into two categories.
D. The procedure has a fixed number of trials.

 
A survey showed that 83​% of adults need correction​ (eyeglasses, contacts,​ surgery, etc.) for their eyesight. If 8 adults are randomly​ selected, find the probability that at least 7 of them need correction for their eyesight. Is 7 a significantly high   number of adults requiring eyesight​ correction?
 
The probability that at least 7 of the 8 adults require eyesight correction is 0.594.
(Round to three decimal places as​ needed.)
 
p: (1 - .83) =             0.17
x value: 8 – 7 =       1

TI84 Plus Instructions
 
2ND
VARS
Binomcdf
8
0.17
1
 
Is 7 a significantly high number of adults requiring eyesight​ correction? Note that a small probability is one that is less than 0.05.
 
A. No ​, because the probability of this occurring is not   small.
B. Yes ​, because the probability of this occurring is   small.
C. No ​, because the probability of this occurring is   small.
D. Yes ​, because the probability of this occurring is not small.


 
A survey showed that 72% of adults need correction​ (eyeglasses, contacts,​ surgery, etc.) for their eyesight. If 11 adults are randomly​ selected, find the probability that no more than 1 of them need correction for their eyesight. Is 1 a significantly low number of adults requiring eyesight​ correction?
 
The probability that no more than 1 of the 11 adults require eyesight correction is 0.00   (Round to three decimal places as​ needed.)
 
P: 1 - .83 =              0.17
x value: 11 - 11 =  0

 
TI84 Plus Instructions
 
2ND
VARS
Binomcdf
8
0.17
1
 = 0.00
 
A survey showed that 82% of adults need correction​ (eyeglasses, contacts,​ surgery, etc.) for their eyesight.
If 14 adults are randomly​ selected, find the probability that at least 13 of them need correction for their eyesight.
 Is 13 a significantly high number of adults requiring eyesight​ correction?
 
The probability that at least 13 of the 14 adults require eyesight correction is 0.253
​(Round to three decimal places as​ needed.)
 
P: 1 - .82 = .18
X value: 14 - 13 = 1
 
TI84 Plus Instructions
2ND
VARS
Binomcdf
14    
0.18    
1
 = 0.2531200501
 
Is 13 a significantly high number of adults requiring eyesight​ correction?
Note that a small probability is one that is less than 0.05.
 
No, because the probability of this occurring is not small

 
In the binomial probability​ formula, the variable x represents the
number of successes.
 

 
Based on a​ poll, among adults who regret getting​ tattoos, 27​% say that they were too young when they got their tattoos.
Assume that nine adults who regret getting tattoos are randomly​ selected and find the indicated probability.
Complete parts​ (a) through​ (d) below.
 
a. Find the probability that none of the selected adults say that they were too young to get tattoos.
0.0589   (Round to four decimal places as​ needed.)
 
TI84 Plus Instructions
Press:       2ND      VARS       Binomcdf
9     
0.27    
0
  = 0.0588715867
 
b. Find the probability that exactly one of the selected adults says that he or she was too young to get tattoos.
0.1960    (Round to four decimal places as​ needed.)
 
TI84 Plus Instructions
2ND
VARS

Binompdf

9      
0.27        
1 
  =    0.1959698023
 
c. Find the probability that the number of selected adults saying they were too young is 0 or 1.
0.2548     (Round to four decimal places as​ needed.)
 
TI84 Plus Instructions
2ND
VARS

Binomcdf

9        
0.27        
1 
  =     0.254841389
 
d. If we randomly select nine ​adults, is 1 a significantly low number who say that they were too young to get​ tattoos?
 
No, because the probability that at most 1 of the selected adults say that they were too young is greater than 0.05

 
 
a. What is the probability that exactly 5 of the selected adults believe in​ reincarnation?
 
The probability that exactly 5 of the 6 adults believe in reincarnation is 0.187   (Round to three decimal places as​ needed.)
 
TI84 Plus
2ND
VARS
Binompdf
6       
0.6          
5   
 =    0.186624
 
b. The probability that all of the selected adults believe in reincarnation is 0.047   (Round to three decimal places as​ needed.)
 
TI84 Plus
2ND
VARS

Binompdf

6      
0.6       
6  
 =      0.046656
 
c. What is the probability that at least 5 of the selected adults believe in​ reincarnation?
The probability that at least 5 of the selected adults believe in reincarnation is 0.234
​(Round to three decimal places as​ needed.)
 
0.187 + 0.047 = 0.234
 
If 6 adults are randomly​ selected, is 5 a significantly high number who believe in​ reincarnation?
 
A. No​ because the probability that 5 or more of the selected adults believe in reincarnation is greater than 0.05.
B. Yes​ because the probability that 5 or more of the selected adults believe in reincarnation is less than 0.05.
C. Yes​ because the probability that 5 or more of the selected adults believe in reincarnation is greater than 0.05.
D. No because the probability that 5 or more of the selected adults believe in reincarnation is less than 0.05.

 
Assume that hybridization experiments are conducted with peas having the property that for​ offspring, there is a 0.75 probability that a pea has green pods. Assume that the offspring peas are randomly selected in groups of 40   Complete parts​ (a) through​ (c) below.
 
a. Find the mean and the standard deviation for the numbers of peas with green pods in the groups of 40.
 
The value of the mean is mu 30 peas. ​
(Type an integer or a decimal. Do not​ round.)
 
N = 40
P = .75
u = 30
 
40 x .75 = 30
 
The value of the standard deviation is 2.7 peas.    (Round to one decimal place as​ needed.)
 
TI84 Plus Instructions

Q = 1 - p = 1 - 0.75 = 0.25
(40 x .75 x .25) = 2.738612700 (sq. root)    Rounded = 2.7
 
b. Use the range rule of thumb to find the values separating results that are significantly low or significantly high.
Values of 24.6 peas or fewer are significantly low.    (Round to one decimal place as​ needed.)
 
30 – 2(2.7) = 24.6
 
Values of 35.4 peas or greater are significantly high.    (Round to one decimal place as​ needed.)
 
30 + 2(2.7) = 35.4
 
c. Is a result of 6 peas with green pods a result that is significantly​ low? Why or why​ not?
 
The result is significantly​ low, because 6 peas with green pods is  less than greater than 24.6 peas.
​(Round to one decimal place as​ needed.)

 
Which of the following is not a requirement of the binomial probability​ distribution?
Choose the correct answer below.
 
A. The probability of a success remains the same in all trials.
B. The trials must be dependent.
C. Each trial must have all outcomes classified into two categories.
D. The procedure has a fixed number of trials.

 
In the binomial probability​ formula, the variable x represents the ____.

number of successes

 
For the binomial distribution, which formula finds the standard deviation?
 
npq
np
npq
np

 
A main goal in statistics is to interpret and understand the meaning of statistical values.
The ________ can be very helpful in understanding the meaning of mean and standard deviation.

Range Rule of Thumb

 
Identify the expression for calculating the mean of a binomial distribution.

np


 
Homework 6.1
 
A normal distribution is informally described as a probability distribution that is​ "bell-shaped" when graphed. Draw a rough sketch of a curve having the bell shape that is characteristic of a normal distribution. Choose the correct answer below. A.

 

 
What requirements are necessary for a normal probability distribution to be a standard normal probability​ distribution? Choose the correct answer below.
 
A. The mean and standard deviation have the values of mu = 0 and sd = 1.
B. The mean and standard deviation have the values of mu = 1 and sd = 1.
C. The mean and standard deviation have the values of mu = 0 and sd = 0.
D. The mean and standard deviation have the values of mu = 1 and sd = 0.

 
What does the notation za ​indicate?
The expression za denotes the z score with an area of
to the right.
 

 
Find the area of the shaded region.
The graph depicts the standard normal distribution with mean 0 and standard deviation 0.97.

               0.97
 
The area of the shaded region is 0.8340
​(Round to four decimal places as​ needed.)
 
TI84 Plus Instructions
2ND
VARS

Normalcdf

lower:   -99999
upper:   0.97
u:            0
σ:            1
0.8339767602

 
Find the area of the shaded region. The graph depicts the standard normal distribution of bone density scores with mean 0 and standard deviation 1.


                   -0.81
 
The area under the curve to the right of the vertical line is shaded.
The area of the shaded region is 0.7910
 ​(Round to four decimal places as​ needed.)
 
Left of the center (use 9999) and negative z score
TI84 Plus Instructions

2ND
VARS

Normalcdf

Lower: 9999
Upper: -0.81
u: 0
σ: 1
 
 
Find the area of the shaded region. The graph depicts the standard normal distribution of bone density scores
with mean 0 and standard deviation 1.
 
 
                    -1.11
 
The area of the shaded region is
(Round to four decimal places as​ needed.)
 
 
TI84 Plus Instructions
 
2ND
VARS
Normalcdf
-9999
1.11
0
1

 
 
 
                          -1.13
 
The area of the shaded region is 0.8708
​(Round to four decimal places as​ needed.)
 
Lower is negative and upper is positive when the number is negative.
 
TI84 Plus
 
2ND
VARS
Normalcdf
-9999
1.13
0
1
= 0.8707618393

 
Find the indicated z score. The graph depicts the standard normal distribution with mean 0 and standard deviation 1.
 
                0.9147
 
The indicated z score is 1.37
​(Round to two decimal places as​ needed.)
 
TI84 Plus Instructions

2ND
VARS
invNorm
Area: 0.9147
u: 0
σ: 1
= 1.370278443

 
Find the indicated z score. The graph depicts the standard normal distribution with mean 0 and standard deviation 1.
 
 
                  .1711                z 0
 
The indicated z score is -0.95
​(Round to two decimal places as​ needed.)
 
TI84 Plus Instructions
 
2ND
VARS
invNorm
Area: 0.1711
u: 0
σ: 1
= -0.9498273216

 
Find the indicated z score. The graph depicts the standard normal distribution with mean 0 and standard deviation 1.
 
 
            0.2877                Z0
 
The indicated z score is -0.56
​(Round to two decimal places as​ needed.)
 
TI84 Plus Instructions
 
2ND
VARS
invNorm
0
.2877
0
1
= -0.560116461

 
Find the indicated z score.
The graph depicts the standard normal distribution with mean 0 and standard deviation 1.
 
 
                        0         z     0.1660
 
The indicated z score is 0.97
​(Round to two decimal places as​ needed.)
 
TI84 Plus Instructions

2ND
VARS
invNorm
 0.1660
0
1
= -0.9700932795
(remove negative because z score is to the right of the center)

 
Find the area of the shaded region. The graph to the right depicts IQ scores of​ adults, and
those scores are normally distributed with a mean of 100 and a standard deviation of 15.
 
                      102       132

The area of the shaded region is 0.4317
​(Round to four decimal places as​ needed.)
 
102 – 100 / 15 = .1333333333333 (0.13)
132 – 100 / 15 = 2.1333333333333 (2.13)
 
TI84 Plus Instructions
 
2ND
VARS
Normalcdf
-9999
0.13
0
1
= 0.5517

2ND
VARS
Normalcdf
-9999
2.13
0
1
= 0.9834
 
0.9834 - 0.5517 = 0.4317

 
Assume that a randomly selected subject is given a bone density test. Those test scores are normally distributed
with a mean of 0 and a standard deviation of 1. Find the probability that a given score is less than 2.22 and draw
a sketch of the region. Sketch the region. Choose the correct graph below

 
The probability is 0.9868
​(Round to four decimal places as​ needed.)

TI84 Plus Instructions
 
2ND      VARS     Normalcdf
-9999
2.22
0
1
  = 0.9867906612
 

 
Assume that a randomly selected subject is given a bone density test. Those test scores are normally distributed
with a mean of 0 and a standard deviation of 1. Find the probability that a given score is less than 1.63
and draw a sketch of the region. Sketch the region. Choose the correct graph below.

 
The probability is 0.9484
​(Round to four decimal places as​ needed.)
 
TI84 Plus Instructions

2ND
VARS
Normalcdf
-9999
1.63
0
1
0.9484492628

 
Assume that a randomly selected subject is given a bone density test. Those test scores are normally distributed
with a mean of 0 and a standard deviation of 1. Draw a graph and find the probability of a bone density test score
greater than negative -1.83.
Sketch the region. Choose the correct graph below



The probability is 0.9664
​(Round to four decimal places as​ needed.)
 
Upper is positive because it’s to the left.
 
TI84 Plus Instructions

2ND
VARS
Normalcdf
Lower: -9999
Upper: 1.83
u: 0
σ: 1
0.9663750893

 
Assume that thermometer readings are normally distributed with a mean of 00 C and a standard deviation of 1.000 C. 
A thermometer is randomly selected and tested. For the case​ below, draw a​ sketch, and find the probability of the reading.​
(The given values are in Celsius​ degrees.)        Between 0.25   and 1.00
Draw a sketch. Choose the correct graph below.

 
The probability of getting a reading between 0.25 degrees and 1.00 degrees is .2426
(Round to four decimal places as​ needed.)
 
TI84 Plus Instructions

2ND
VARS
Normalcdf
-9999
0.25
0
1
  = 0.5987062744
 
2ND
VARS
Normalcdf
-9999
1.00
0
1
  = 0.8413447404
0.8413447404 - 0.5987062744 = .242638466

 
Assume that a randomly selected subject is given a bone density test. Those test scores are normally distributed
with a mean of 0 and a standard deviation of 1.
Draw a graph and find the probability of a bone density test score greater than 0.
Sketch the region. Choose the correct graph below.

 
The probability is .5000
​(Round to four decimal places as​ needed.)
 
TI84 Plus Instructions
 
2ND
VARS
normalcdf
(-)9999
0
0
1
0.5000000005

 
Assume that the readings on the thermometers are normally distributed with a mean of 00 degrees and standard deviation
of 1.000 C.  A thermometer is randomly selected and tested. Draw a sketch and find the temperature reading corresponding to
Upper P85, the 85th   percentile. This is the temperature reading separating the bottom 85% from the top 15%.

 
The temperature for Upper P85 is approximately 1.040
​(Round to two decimal places as​ needed.)
 
TI84 Plus Instructions

2ND
VARS
invNorm
area: 0.85
u: 0
σ: 1
1.03643338

 
Assume that a randomly selected subject is given a bone density test. Bone density test scores are normally
distributed with a mean of 0 and a standard deviation of 1. Draw a graph and find P3, the 3rd   percentile.
This is the bone density score separating the bottom 3%   from the top 97 %.
Which graph represents P3 ​ Choose the correct graph below.

 
The bone density score corresponding to Upper P3   is -1.88
(Round to two decimal places as​ needed.)
 
TI84 Plus Instructions
 
2ND
VARS
invNorm
0.03
0
1
-1.88079361

 
Assume that a randomly selected subject is given a bone density test.
Those test scores are normally distributed with a mean of 0 and a standard deviation of 1.
Draw a graph and find the bone density test scores that can be used as cutoff values separating the lowest 4​%
and highest 4%, indicating levels that are too low or too​ high, respectively.
 
Sketch the region. Choose the correct graph below

 
 
The bone density scores are -1.75, 1.75
​(Use a comma to separate answers as needed. Round to two decimal places as​ needed.)

TI84 Plus Instructions
 
2ND
VARS
invNorm
0.04
0
1
-1.750686071, 1.750686071

Find the indicated critical value.
20.11
 
z0.11 = 1.23 positive number because it’s minus 1
(Round to two decimal places as​ needed.)

TI84 Plus

2ND
VARS
invNorm
0.11
0
1
1.22652812 (positive because it’s minus 1)

 
Which of the following is NOT a descriptor of a normal distribution of a random​ variable?
Choose the correct answer below.
 
A. The graph of the distribution is symmetric.
B. The graph is centered around the mean.
C. The graph of the distribution is​ bell-shaped.
D. The graph is centered around 0.

 
Which of the following groups of terms can be used interchangeably when working with normal​ distributions?
Choose the correct answer below.
 
​areas, z-scores, and relative frequencies ​
areas, probability, and relative frequencies
​z-scores, probability, and relative frequencies ​
areas, z-scores, and probability

Which of the following does NOT describe the standard normal​ distribution? Choose the correct answer below.
 
A. It is a normal distribution with a mean of 0 and a standard deviation of 1.
B. The total area under the curve must equal 1.
C. The graph is symmetric.
D. The graph is uniform.

 
Finding probabilities associated with distributions that are standard normal distributions is equivalent to
finding the area of the shaded region representing that probability
 
the notation P(z < a) denotes
the probability that the z-score is less than a

Homework 6.2

 
Pulse rates of women are normally distributed with a mean of 77.5 beats per minute and a standard deviation of
11.6 beats per minute. Answer the following questions.
What are the values of the mean and standard deviation after converting all pulse rates of women to z scores using.
 
z =  x - u / σ
 
u = 0
σ = 1
 
The original pulse rates are measure with units of​ "beats per​ minute".
What are the units of the corresponding z​ scores?
Choose the correct choice below.
 
A. The z scores are measured with units of​ "beats."
B. The z scores are measured with units of​ "minutes per​ beat."
C. The z scores are measured with units of​ "beats per​ minute."
D. The z scores are numbers without units of measurement.
 
Find the area of the shaded region. The graph to the right depicts IQ scores of​ adults, and those scores are
normally distributed with a mean of 100 and a standard deviation of 15.

                 70
 
The area of the shaded region is 0.0228
(Round to four decimal places as​ needed.)
 
Use the NEGATIVE on ti84.
70 – 100 / 15 = -2
 
TI84 Plus Instructions
 
2ND
VARS
Normalcdf
Lower: -9999
Upper: -2
u:
σ: 0
.022750062
 
Find the area of the shaded region. The graph to the right depicts IQ scores of​ adults, and those scores are normally
distributed with a mean of 100 and a standard deviation of 15.
 
 
The area of the shaded region is -1.67     ​(Round to four decimal places as​ needed.)
 
75 – 100 / 15 = -1.666666 (-1.67)

 
Find the area of the shaded region. The graph to the right depicts IQ scores of​ adults, and those scores are normally
distributed with a mean of 100 and a standard deviation of 15
 
                       98
 
The area of the shaded region is 0.5517
​(Round to four decimal places as​ needed.)
 
98 – 100 / 15 = -.13

TI84 Plus Instructions

2ND     VARS     Normalcdf
Lower: -9999
Upper: 0.13 (positive number because it’s on the left)
u: 0
σ: 1
.5517168235

 
Find the area of the shaded region. The graph to the right depicts IQ scores of​ adults, and those scores are normally
distributed with a mean of 100 and a standard deviation of 15.

 
The area of the shaded region is 0.7019 (Round to four decimal places as​ needed.)
 
92 – 100 / 15 = .533333 (-0.53)

TI84 Plus Instructions
 
2ND      VARS     Normalcdf
-9999
0.53     (positive number because it’s on the left)
0
1
  = 0.7019440569

 
 
The indicated IQ​ score, x, is 98.1
​(Round to one decimal place as​ needed.)
 
1 - 0.55 = .45

TI84 Plus Instructions
 
2ND      VARS     invNorm
0.45, 0, 1
= -0.1256613375 (-0.13)
100 + (-.13 x 15) = 98.05 (98.1)
Find the area of the shaded region. The graph to the right depicts IQ scores of​ adults, and those scores are normally
distributed with a mean of 100 and a standard deviation of 15.
 
 
                 80                       125
 
The area of the shaded region is 0.8607
​(Round to four decimal places as​ needed.)
 
125 – 100 / 15 =     1.67

TI84 Plus Instructions
 
2ND       VARS      Normalcdf
-9999     -1.33      0     1    =    0.0917591981   (round to 4 decimals) .0918
2ND       VARS      Normalcdf
-9999    1.67    0    1   =   0.952540341 (round to 4 decimals (.9525)
0.9525 - 0.0918 = 0.8607
 
Find the area of the shaded region. The graph to the right depicts IQ scores of​ adults, and those scores are normally
distributed with a mean of 100 and a standard deviation of 15
 
                 80                      125
 
The area of the shaded region is 0.7938 (Round to four decimal places as​ needed.)
 
85 – 100 / 15 = -1.00
125 – 100 / 15 = 1.67
 
TI84 Plus Instructions
 
2ND       VARS       Normalcdf
-9999     -1.33      0      1     =    0.1586552596 (round to 4 decimals) (0.1587)

2ND       VARS       Normalcdf
-9999     1.67       0      1    =     0.952540341 (round to 4 decimals (0.9525)
0.9525 - 0.1587 = 0.7938

 
Find the area of the shaded region. The graph to the right depicts IQ scores of​ adults, and those scores are normally
distributed with a mean of 100 and a standard deviation of 15.

                          106    124
 
The area of the shaded region is 0.2898    (Round to four decimal places as​ needed.)
 
106 – 100 / 15 = 0.400
124 – 100 / 15 = 1.60
 
TI84 Plus Instructions Instructions

2ND      VARS      Normalcdf
-9999    .4      0      1    = .6554216971 (round to 4 = 0.6554)

2ND      VARS      Normalcdf
-9999    1.60    0     1   = .9452007106 (round to 4 decimals 0.9452)
0.9452 - 0.6554     =    0.2898

 
Find the indicated IQ score. The graph to the right depicts IQ scores of​ adults, and those scores are normally
distributed with a mean of 100 and a standard deviation of 15.

               0
.75

The indicated IQ​ score, x, is 110.1    (Round to one decimal place as​ needed.)
 
TI84 Plus Instructions
 
2ND     VARS      invNorm
area: 0.75
u: 0
σ: 1
  = 0.6744897495
100 + (.67 x 15) = 110.05

 
Find the indicated IQ score. The graph to the right depicts IQ scores of​ adults, and those scores are
normally distributed with a mean of 100 and a standard deviation of 15.
 
                       x    0.7
 
The indicated IQ​ score, x, is 92.2  (Round to one decimal place as​ needed.)
 
1 - 0.7 = .3
 
TI84 Plus Instructions

Press       2ND       VARS      invNorm
area:    0.3
u:    0
σ:    1
  = -0.5244005101
 
100 + (-0.52 x 15) = 92.2

Assume that adults have IQ scores that are normally distributed with a mean of mu equals 105   and a standard
deviation sigma equals 20.  Find the probability that a randomly selected adult has an IQ less than 129.
 
The probability that a randomly selected adult has an IQ less than 129 is 0.8849
​(Type an integer or decimal rounded to four decimal places as​ needed.)
 
129 – 105 / 20 = 1.2
 
TI84 Plus Instructions
 
2ND      VARS     Normalcdf
Lower: -9999
Upper: 1.2
u: 0
σ: 1
  = 0.8849302684

 
Assume that adults have IQ scores that are normally distributed with a mean of 96.5   and a standard deviation of 20.7.
Find the probability that a randomly selected adult has an IQ greater than 134.6 ​(Hint: Draw a​ graph.)
 
The probability that a randomly selected adult from this group has an IQ greater than 134.6 is .0329
(Round to four decimal places as​ needed.)
 
134.6 – 96.5 / 20.7 = 1.84057971
 
TI84 Plus Instructions
 
Press 2ND | VARS
Normalcdf
Lower: 9999
Upper: 1.84
Mu: 0
SD: 1
  = -.0328840585 (remove negative)

 
Assume that adults have IQ scores that are normally distributed with a mean of mu equals 105 and a standard
deviation sigma equals 15 .  Find the probability that a randomly selected adult has an IQ between 92 and 118
 
The probability that a randomly selected adult has an IQ between 92 and 118 is .6156
​(Type an integer or decimal rounded to four decimal places as​ needed.)
 
92 - 105 / 15 = -0.86666666667     (-0.87)
116 - 105 / 15 = 0.733333333333 (0.73)
 
TI84 Plus Instructions

2ND      VARS    Normalcdf
-9999
-0.87
0
1
= 0.1921501574

2ND      VARS    Normalcdf
-9999
0.73
0
1
= 0.767304982
 
.8078 - .1922 = .6156
 
Assume that adults have IQ scores that are normally distributed with a mean of mu equals 105 and a standard
deviation sigma equals 15.  Find the probability that a randomly selected adult has an IQ between 86 and 124.
 
The probability that a randomly selected adult has an IQ between 86 and 124 is 0.7960
​(Type an integer or decimal rounded to four decimal places as​ needed.)
 
86 – 105 / 15 =     -1.26666666667
124 – 105 / 15 =    1.26666666666
 
TI84 Plus Instructions
 
2ND       VARS     Normalcdf
-9999
-1.27
0
1
= .1020423807

2ND       VARS     Normalcdf
-9999
0.127
0
1
= 0.8979576193
0.8980 - 0.1020 = 0.7960

 
Engineers want to design seats in commercial aircraft so that they are wide enough to fit 90% of all males​
(Accommodating 100% of males would require very wide seats that would be much too​ expensive.)
Men have hip breadths that are normally distributed with a mean of 14.9 in. and a standard deviation of 1.1 in.
Find Upper P90.  That​ is, find the hip breadth for men that separates the smallest 90% from the largest 10 %.
 
The hip breadth for men that separates the smallest 90% from the largest 10% is Upper P90 = 16.3 in.
​(Round to one decimal place as​ needed.)
 
TI84 Plus Instructions
 
2ND       VARS     invNorm
0.9
0
1
= 1.28155
 
14.9 + (1.28 x 1.1) = 16.308

 
A survey found that​ women's heights are normally distributed with mean 63.9   in and standard deviation 2.2 in.
A branch of the military requires​ women's heights to be between 58 in and 80 in.

a. The percentage of women who meet the height requirement is 99.63%.
(Round to two decimal places as​ needed.)
 
58 – 63.9 / 2.2 = -2.68181818182 (-2.68)
80 – 63.9 / 2.2 = 7.31818181818 (7.31)
 
TI84 Plus Instructions
 
2ND      VARS       Normalcdf
-9999
-2.68
0
1
= 0.0036811545 (.0037) rounded to 4 decimals

2ND      VARS       Normalcdf
-9999
7.31
0
1
= 1.0000
1.0000- .0037 = .9963 (99.63%)
 
Are many women being denied the opportunity to join this branch of the military because they are too short or too​ tall?
 
Yes, because the percentage of women who meet the height requirement is fairly large.
​No, because only a small percentage of women are not allowed to join this branch of the military because of their height.
Yes, because a large percentage of women are not allowed to join this branch of the military because of their height.
No, because the percentage of women who meet the height requirement is fairly small.
 
For the new height​ requirements, this branch of the military requires​ women's heights to be at least 58.8 in. and at most 68.4 in.
​(Round to one decimal place as​ needed.)
 
As specified in the problem​ statement, the shortest​ 1% will be rejected with the new height requirements.
To find the new minimum height​ requirement, use technology to find the z score with​ 1% of the total area under
the standard normal curve to its left
 
TI84 Plus Instructions
 
2ND       VARS       invNorm
0.01
0
1
= -2.326347877 (-2.33)
63.9 + (-2.33 x 2.2) = 58.774
 
Use similar steps to find the new maximum height. First find the z score with​ 2% of the total area under the standard
normal curve to its right or ​100% - ​2% = 98% of the total area under the standard normal curve to its left.
 
TI84 Plus Instructions

2ND     VARS       invNorm
0.98
0
1
= 2.053748911 (2.05)
63.9 + (2.05 x 2.2) = 68.41

 
The lengths of pregnancies are normally distributed with a mean of 267 days and a standard deviation of 15 days.
a. Find the probability of a pregnancy lasting 307 days or longer.
b. If the length of pregnancy is in the lowest 3​%, then the baby is premature. Find the length that separates premature
babies from those who are not premature
 
a. The probability that a pregnancy will last 307 days or longer is .0038  ​(Round to four decimal places as​ needed.)
 
307 – 267 / 15 = 2.6666666667 (2.67)
 
TI84 Plus Instructions
 
2ND        VARS       Normalcdf
-9999
2.67
0
1
= 0.9962073926
1 - 0.9962 = 0.0038
 
Babies who are born on or before 239 days are considered premature.
​(Round to the nearest integer as​ needed.)
 
Area closest to 3% is 0.0301

TI84 Plus Instructions

2ND       VARS      invNorm
0.03
0
1
= -0.1.879 (-1.88)
267 + (-1.88 x 15) = 238.8 (round to 239)

 
The lengths of pregnancies are normally distributed with a mean of 267 days and a standard deviation of 15   days.
a. Find the probability of a pregnancy lasting 308   days or longer.
b. If the length of pregnancy is in the lowest 4 %, then the baby is premature.
Find the length that separates premature babies from those who are not premature.
 
The probability that a pregnancy will last 308 days or longer is 0.0032
​(Round to four decimal places as​ needed.)
 
308 – 267 / 15 = 2.7333333333 (2.73)
 
TI84 Plus Instructions
 
2ND      VARS    Normalcdf
-9999
2.73
0
1
= 0.9968332307 (0.9968)
1 - 0.9968 = 0.0032
 
Babies who are born on or before 241 days are considered premature.
​(Round to the nearest integer as​ needed.)
 
Area closest to 4% is 0.0401
 
TI84 Plus Instructions
Press:      2ND        VARS     invNorm
area: 0.0401        (0.04 + 0.001)
u: 0
σ: 1
-1.749526802
267 + (-1.75 x 15) = 240.75 (round to 241)

 
Which of the following is not​ true?
 
Choose the correct answer below.
 
A. A​ z-score is a conversion that standardizes any value from a normal distribution to a standard normal distribution.
B. If values are converted to standard​ z-scores, then procedures for working with all normal distributions are the same
as those for the standard normal distribution.
C. The area in any normal distribution bounded by some score x is the same as the area bounded by the equivalent​
z-score in the standard normal distribution.
D. A​ z-score is an area under the normal curve.
 

 
Where would a value separating the top​ 15% from the other values on the graph of a normal distribution be​ found?
Choose the correct answer below.
 
A. the left side of the horizontal scale of the graph
B. the center of the horizontal scale of the graph
C. the right side of the horizontal scale of the graph
D. on the top of the curve

 
What conditions would produce a negative​ z-score? Choose the correct answer below.
 
A. a​ z-score for a negative area
B. a​ z-score corresponding to an area located entirely in the left side of the curve
C. an area in the top​ 10% of the graph
D. a​ z-score corresponding to an area located entirely in the right side of the curve

 
Complete the following statement.
If you are asked to find the 85th​ percentile, you are being asked to find​ _____.
 
Choose the correct answer below.
 
A. a data value associated with an area of 0.85 to its left.
B. an area corresponding to a​ z-score of 0.85.
C. a data value associated with an area of 0.85 to its right.
D. an area corresponding to a​ z-score of -0.85.

 
Homework: Chapter 5, 6.2, 6.3
Review Homework
 
Determine whether the value is a discrete random​ variable, continuous random​ variable, or not a random variable.
 
a. The number of hits to a website in a day number of hits to a website in a day
b. The number of statistics students now reading a book number of statistics students now reading a book
c. The response to the survey question "Did you smoke in the last week question mark "response to the survey question
"Did you smoke in the last week?"
d. The number of people with blood type Upper A in a random sample of 22 people number of people with blood
type A in a random sample of 22 people
e. The time it takes to fly from City Upper A to City Upper B time it takes to fly from City A to City B
f. The number of points scored during a basketball game number of points scored during a basketball game
 
Is the number of hits to a website in a day number of hits to a website in a day  a discrete random​ variable,
a continuous random​ variable, or not a random​ variable?
 
A. It is a discrete random variable.
B. It is a continuous random variable.
C. It is not a random variable.
 
Is the number of statistics students now reading a book number of statistics students now reading a book a discrete
random​ variable, a continuous random​ variable, or not a random​ variable?
 
A. It is a continuous random variable.
B. It is a discrete random variable.
C. It is not a random variable
 
Is the response to the survey question "Did you smoke in the last week question mark "response to the survey question
"Did you smoke in the last week?"
a discrete random​ variable, a continuous random​ variable, or not a random​ variable?
 
A. It is a discrete random variable.
B. It is a continuous random variable.
C. It is not a random variable.
 
Is the number of people with blood type Upper A in a random sample of 22 people number of people with blood type A
in a random sample of 22 people a discrete random​ variable, a continuous random​ variable, or not a random​ variable?
 
A. It is a continuous random variable.
B. It is a discrete random variable.
C. It is not a random variable.
 
Is the time it takes to fly from City Upper A to City Upper B time it takes to fly from City A to City B a discrete random​ variable, a continuous random​ variable, or not a random​ variable?
 
A. It is a discrete random variable.
B. It is a continuous random variable.
C. It is not a random variable.
 
Is the number of points scored during a basketball game number of points scored during a basketball game a
discrete random​ variable, a continuous random​ variable, or not a random​ variable?
 
A. It is a discrete random variable.
B. It is a continuous random variable.
C. It is not a random variable.
Ted is not particularly creative. He uses the pickup line​ "If I could rearrange the​ alphabet, I'd put U and I​ together."
The random variable x is the number of women Ted approaches before encountering one who reacts positively.
Determine whether a probability distribution is given. If a probability distribution is​ given, find its mean and standard deviation.
 If a probability distribution is not​ given, identify the requirements that are not satisfied.
 
x              P(x)
0              0.001
1              0.007
2              0.031
3              0.061
            Total = .01
 
Does the table show a probability​ distribution? Select all that apply.
 
A. ​Yes, the table shows a probability distribution.
B. ​No, the random variable​ x's number values are not associated with probabilities.
C. ​No, the random variable x is categorical instead of numerical.
D. ​No, the sum of all the probabilities is not equal to 1.
E. ​No, not every probability is between 0 and 1 inclusive.
 
Find the mean of the random variable x. Select the correct choice below​ and, if​ necessary,
fill in the answer box to complete your choice.
 
A. mu = women ​(Round to one decimal place as​ needed.)
B. The table does not show a probability distribution.
 
Find the standard deviation of the random variable x. Select the correct choice below​ and, if​ necessary,
fill in the answer box to complete your choice.
 
A. sd = women ​(Round to one decimal place as​ needed.)
B. The table does not show a probability distribution.

 
Determine whether the given procedure results in a binomial distribution. If it is not​ binomial, identify the requirements
that are not satisfied. Recording the number of televisions in 50 households
Choose the correct answer below.
 
A. ​No, because there are more than two possible outcomes and the trials are not independent.
B. Yes comma because all 4 requirements are satisfied.
C. ​No, because the probability of success does not remain the same in all trials.
D. No because there are more than two possible outcomes.

 
Determine whether the given procedure results in a binomial distribution​ (or a distribution that can be treated as​ binomial).
If the procedure is not​ binomial, identify at least one requirement that is not satisfied.
 
The YSORT method of gender​ selection, developed by the Genetics​ & IVF​ Institute, was designed to
increase the likelihood that a baby will be a boy. When 60 couples use the YSORT method and give birth
to 60  babies, the genders of the babies are recorded.
 
Does the procedure represent a binomial​ distribution?
 
A. ​No, because the probability of success differs from trial to trial.
B. ​No, because the trials of the procedure are not independent.
C. ​Yes, because the procedure satisfies all the criteria for a binomial distribution.
D. ​No, because there are more than two categories for each trial.

 
The accompanying table describes results from groups of 10 births from 10 different sets of parents.
The random variable x represents the number of girls among 10 children.
Use the range rule of thumb to determine whether 1 girl in 10 births is a significantly low number of girls.
 
Number of Girls x     P(x)
0                            0.001
1                            0.012
2                            0.041
3                            0.112
4                            0.203
5                            0.247
6                            0.209
7                            0.113
8                            0.042
9                            0.015
10                         0.005
 
Use the range rule of thumb to identify a range of values that are not significant.
The maximum value in this range is girls. 8.2
​(Round to one decimal place as​ needed.)
 
# of Girls x           ​P(x)                                       X x P(x)                 (x-mu)^2xP(x)
0                            0.001   x    0                        (0-5)2 x  0.001         0.025 
1                            0.012   x     0.012              (1-5) 2 x 0.012          0.192 
2                            0.041   x     0.082             (2-5) 2 x 0.041          0.369 
3                            0.112   x    0.336              (3-5) 2 x 0.112          0.448 
4                            0.203   x     0.812             (4-5) 2 x 0.203          0.203 
5                            0.247   x     1.235             (5-5) 2 x  0.247         0 
6                            0.209   x     1.254             (6-5) 2 x 0.209          0.209 
7                            0.113   x     0.791             (7-5) 2 x 0.113          0.452 
8                            0.042   x     0.336             (8-5) 2 x 0.042          0.378 
9                            0.015   x     0.135             (9-5) 2 x  0.015         0.24 
10                          0.005   x     0.05              (10-5) 2 x 0.005         0.125 
PrintDone  5.043                                                variance = 2.641 = sd = sq root
                                                                                   sd 1.62511 (1.6)
 
maximum = u + 2(σ)
5 + 2(1.6) = 8.2
 
The minimum value in this range is 1.8 girls.
​(Round to one decimal place as​ needed.)
 
minimum = u - 2(σ)
5 – 2(1.6) = 1.8
 
Based on the​ result, is 1 girl in 10 births a significantly low number of​ girls? Explain.
A. ​No, 1 girl is not a significantly low number of​ girls, because 1 girl is within the range of values that are not significant.
B. ​Yes, 1 girl is a significantly low number of​ girls, because 1 girl is above the range of values that are not significant.
C. ​Yes, 1 girl is a significantly low number of​ girls, because 1 girl is below the range of values that are not significant.
D. Not enough information is given.
 
Based on a​ survey, assume that 44​% of consumers are comfortable having drones deliver their purchases.
Suppose that we want to find the probability that when five consumers are randomly​ selected, exactly two of
them are comfortable with delivery by drones. Identify the values of​ n, x,​ p, and q.
 
The value of n is five (5)
​(Type an integer or a decimal. Do not​ round.)
 
The value of x is two (2)
​(Type an integer or a decimal. Do not​ round.)
 
The value of p is .44
​(Type an integer or a decimal. Do not​ round.)
 
The value of q is .56
​(Type an integer or a decimal. Do not​ round.)
 
1 - .44 = .56
 

 
A pharmaceutical company receives large shipments of aspirin tablets.
The acceptance sampling plan is to randomly select and test 36 ​tablets, then accept the whole batch
 if there is only one or none that​ doesn't meet the required specifications. If one shipment of 3000  
aspirin tablets actually has a 6% rate of​ defects, what is the probability that this whole shipment will be​ accepted?
Will almost all such shipments be​ accepted, or will many be​ rejected?
 
The probability that this whole shipment will be accepted is .3555
(Round to four decimal places as​ needed.)
 
TI84 Plus Instructions
 
Press:      2ND     VARS       Binomcdf
36       
0.06       
1
  = 0.3554975158 (.3555)
 
The company will accept 35.55​% of the shipments and will reject 64.45​% of the​ shipments, so many of the shipments will be rejected.   (Round to two decimal places as​ needed.)
 
.3555 x 100 = 35.55%
100% - 35.55% = 64.45%
 

 
Find the area of the shaded region. The graph depicts the standard normal distribution with mean 0 and standard deviation 1.
 
                            z  = 0.26
The area of the shaded region is 0.6025680579    (Round to four decimal places as​ needed.)
 
TI84 Plus Instructions
Press      2ND       VARS      Normalcdf
-9999      0.26        0       1
 = 0.6025680579

 
Find the indicated z score. The graph depicts the standard normal distribution with mean 0 and standard deviation 1.

     0.2611    z   0
The indicated z score is -0.64    (Round to two decimal places as​ needed.)

TI84 Plus Instructions
Press        2ND       VARS       invNorm
0.2611        0        1
 = -0.6399578503

 
Find the indicated z score. The graph depicts the standard normal distribution with mean 0 and standard deviation 1.
 

                z       0          0.8770
The indicated z score is -0.16
(Round to two decimal places as​ needed.)
 
1 - 0.8770 = 0.123
 
TI84 Plus Instructions
Press      2ND     VARS      invNormal
0.123       0       1
  = -1.160119882

 
Assume that a randomly selected subject is given a bone density test.
Those test scores are normally distributed with a mean of 0 and a standard deviation of 1.
Find the probability that a given score is less than -0.72 and draw a sketch of the region.
Sketch the region.   Choose the correct graph below

 
The probability is 0.2358
(round to 4 decimal place)
 
TI84 Plus Instructions
 
Press      2ND   VARS      Normalcdf
lower: (-)9999
upper: -0.72
u: 0
σ: 1
  = 0.2357624233
Assume that a randomly selected subject is given a bone density test.
Bone density test scores are normally distributed with a mean of 0 and a standard deviation of 1.
Draw a graph and find Upper P7, the 7th   percentile.
This is the bone density score separating the bottom 7% from the top 93 %. Which graph represents Upper P7
Choose the correct graph below.


The bone density score corresponding to Upper P7 is -1.48
(Round to two decimal places as​ needed.)
P7 = .07
 
TI84 Plus Instructions
 
2nd      VARS      invNormal
0.07       0        1       =   -1.475791028

 
Find the area of the shaded region. The graph to the right depicts IQ scores of​ adults,
and those scores are normally distributed with a mean of 100 and a standard deviation of 15.
 
                              110
The area of the shaded region is 0.7486
​(Round to four decimal places as​ needed.)
 
110 – 100 / 15 = .6666666666667 (.67)
 
TI84 Plus Instructions
 
2nd     VARS      Normalcdf
Lower: -9999
Upper: .67
u: 0
σ: 1
  = 0.748571176

Elementary Statistics Homework  1   2   3   4  5-6  6.3-7   8-10   |  Tests Chapter  1-3   4   5-6   6.3-7  8-10    Final Review


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