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# Collaborative Statistics: Practice Final Exam 2

Summary: This module is a practice final for an associated elementary statistics textbook, Collaborative Statistics, available for Fall 2008.

Note: You are viewing an old version of this document. The latest version is available here.

## Exercise 1

A study was done to determine the proportion of teenagers that own a car. The true proportion of teenagers that own a car is the:

• A. statistic
• B. parameter
• C. population
• D. variable

### Solution

B: parameter

The next two questions refer to the following data:

Table 1
value frequency
0 1
1 4
2 7
3 9
6 4

## Exercise 2

The box plot for the data is:

• A.
• B.
• C.
• D.

A

## Exercise 3

If 6 were added to each value of the data in the table, the 15th percentile of the new list of values is:

• A. 6
• B. 1
• C. 7
• D. 8

### Solution

A: 6

The next two questions refer to the following situation:

Suppose that the probability of a drought in any independent year is 20%. Out of those years in which a drought occurs, the probability of water rationing is 10%. However, in any year, the probability of water rationing is 5%.

## Exercise 4

What is the probability of both a drought and water rationing occurring?

• A. 0.05
• B. 0.01
• C. 0.02
• D. 0.30

C: 0.02

## Exercise 5

Which of the following is true?

• A. drought and water rationing are independent events
• B. drought and water rationing are mutually exclusive events
• C. none of the above

### Solution

C: none of the above

The next two questions refer to the following situation:

Suppose that a survey yielded the following data:

Table 2: Favorite Pie Type
gender apple pumpkin pecan
female 40 10 30
male 20 30 10

## Exercise 6

Suppose that one individual is randomly chosen. The probability that the person’s favorite pie is apple or the person is male is:

• A. 40 60 40 60
• B. 60 140 60 140
• C. 120 140 120 140
• D. 100 140 100 140

### Solution

D: 100 140 100 140

## Exercise 7

Suppose H o H o is: Favorite pie type and gender are independent.

The p-valuep-value is:

• A. ≈ 0
• B. 1
• C. 0.05
• D. cannot be determined

### Solution

A: ≈ 0

The next two questions refer to the following situation:

Let’s say that the probability that an adult watches the news at least once per week is 0.60. We randomly survey 14 people. Of interest is the number that watch the news at least once per week.

## Exercise 8

Which of the following statements is FALSE?

• A. X ~ B 14 0.60 X~B 14 0.60
• B. The values for xx are: { 1 ,2 ,3 ,... , 14 } { 1 ,2 ,3 ,... , 14 }
• C. μ = 8.4 μ=8.4
• D. P ( X = 5 ) = 0.0408P(X=5)=0.0408

### Solution

B: The values for xx are: { 1 ,2 ,3 ,... , 14 } { 1 ,2 ,3 ,... , 14 }

## Exercise 9

Find the probability that at least 6 adults watch the news.

• A. 6 14 6 14
• B. 0.8499
• C. 0.9417
• D. 0.6429

C: 0.9417

## Exercise 10

The following histogram is most likely to be a result of sampling from which distribution?

• A. Chi-Square
• B. Exponential
• C. Uniform
• D. Binomial

### Solution

D: Binomial

The ages of campus day and evening students is known to be normally distributed. A sample of 6 campus day and evening students reported their ages (in years) as: { 18 ,35 ,27 ,45 , 20 , 20 } { 18 ,35 ,27 ,45 , 20 , 20 }

## Exercise 11

What is the error bound for the 90% confidence interval of the true average age?

• A. 11.2
• B. 22.3
• C. 17.5
• D. 8.7

D: 8.7

## Exercise 12

If a normally distributed random variable has µ = 0µ=0 and σ = 1σ=1 , then 97.5% of the population values lie above:

• A. -1.96
• B. 1.96
• C. 1
• D. -1

### Solution

A: -1.96

The next three questions refer to the following situation:

• A. 0.6321
• B. 0.5000
• C. 0.3714
• D. 1

A: 0.6321

## Exercise 14

How much money altogether would you expect next 5 customers to spend in one trip to the supermarket (in dollars)?

• A. 72
• B. 722 5 722 5
• C. 5184
• D. 360

D: 360

• A. 16
• B. 0.2
• C. 1
• D. 0.95

B: 0.2

## Exercise 23

If P ( Z < z α ) = 0P(Z< z α )=0. 1587 where Z Z~ N ( 0, 1 )N(0,1) , then αα is equal to:

• A. -1
• B. 0.1587
• C. 0.8413
• D. 1

A: -1

## Exercise 24

A professor tested 35 students to determine their entering skills. At the end of the term, after completing the course, the same test was administered to the same 35 students to study their improvement. This would be a test of:

• A. independent groups
• B. 2 proportions
• C. dependent groups
• D. exclusive groups

### Solution

C: dependent groups

## Exercise 25

A math exam was given to all the third grade children attending ABC School. Two random samples of scores were taken.

Table 3
n x¯x¯ s
Boys 55 82 5
Girls 60 86 7

Which of the following correctly describes the results of a hypothesis test of the claim, “There is a difference between the mean scores obtained by third grade girls and boys at the 5 % level of significance”?

• A. Do not reject H o H o . There is no difference in the mean scores.
• B. Do not reject H o H o . There is a difference in the mean scores.
• C. Reject H o H o . There is no difference in the mean scores.
• D. Reject H o H o . There is a difference in the mean scores.

### Solution

D: Reject H o H o . There is a difference in the mean scores.

## Exercise 26

In a survey of 80 males, 45 had played an organized sport growing up. Of the 70 females surveyed, 25 had played an organized sport growing up. We are interested in whether the proportion for males is higher than the proportion for females. The correct conclusion is:

• A. The proportion for males is the same as the proportion for females.
• B. The proportion for males is not the same as the proportion for females.
• C. The proportion for males is higher than the proportion for females.
• D. Not enough information to determine.

### Solution

C: The proportion for males is higher than the proportion for females.

## Exercise 27

From past experience, a statistics teacher has found that the average score on a midterm is 81 with a standard deviation of 5.2. This term, a class of 49 students had a standard deviation of 5 on the midterm. Do the data indicate that we should reject the teacher’s claim that the standard deviation is 5.2? Use α = 0.05 α=0.05.

• A. Yes
• B. No
• C. Not enough information given to solve the problem

B: No

## Exercise 28

Three loading machines are being compared. Machine I took 31 minutes to load packages. Machine II took 28 minutes to load packages. Machine III took 29 minutes to load packages. The expected time for any machine to load packages is 29 minutes. Find the p-valuep-value when testing that the loading times are the same.

• A. the p–valuep–value is close to 0
• B. p–valuep–value is close to 1
• C. Not enough information given to solve the problem

### Solution

C: Not enough information given to solve the problem

The next three questions refer to the following situation:

A corporation has offices in different parts of the country. It has gathered the following information concerning the number of bathrooms and the number of employees at seven sites:

 Number of employees x Number of bathrooms y 650 730 810 900 102 107 1150 40 50 54 61 82 110 121

## Exercise 29

Is there a correlation between the number of employees and the number of bathrooms significant?

• A. Yes
• B. No
• C. Not enough information to answer question

B: No

## Exercise 30

The linear regression equation is:

• A. y ̂ = 0.0094 79.96 x y ̂ =0.009479.96x
• B. y ̂ = 79.96 + 0.0094x y ̂ =79.96+0.0094x
• C. y ̂ = 79.96 - 0.0094x y ̂ =79.96-0.0094x
• D. y ̂ = 0.0094 + 79.96 x y ̂ =0.0094+79.96x

### Solution

C: y ̂ = 79.96 x - 0.0094 y ̂ =79.96x-0.0094

## Exercise 31

If a site has 1150 employees, approximately how many bathrooms should it have?

• A. 69
• B. 121
• C. 101
• D. 86

A: 69

## Exercise 32

Suppose that a sample of size 10 was collected, with x¯ x = 4.4 and ss = 1.4 .

H o H o : σ 2 σ 2 = 1.6 vs. H a H a : σ 2 σ 2 ≠ 1.6. Which graph best describes the results of the test?

C

## Exercise 33

64 backpackers were asked the number of days their latest backpacking trip was. The number of days is given in the table below:

 # of days Frequency 1 2 3 4 5 6 7 8 5 9 6 12 7 10 5 10

Conduct an appropriate test to determine if the distribution is uniform.

• A. The p–valuep–value is > 0.10 , the distribution is uniform.
• B. The p–valuep–value is < 0.01 , the distribution is uniform.
• C. The p–valuep–value is between 0.01 and 0.10, but without α there is not enough information
• D. There is no such test that can be conducted.

### Solution

B: The p–valuep–value is < 0.01 , the distribution is uniform.

## Exercise 34

­Which of the following statements is true when using one-way ANOVA?

• A. The populations from which the samples are selected have different distributions.
• B. The sample sizes are large.
• C. The test is to determine if the different groups have the same averages.
• D. There is a correlation between the factors of the experiment.

### Solution

C: The test is to determine if the different groups have the same averages.

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