Cumulative Exam — Cumulative exam Answers

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In a statistics activity, students are asked to spin a penny and a dime and determine the proportion of times that each lands with tails up. The students believe that since a dime is lighter, it will have a lower proportion of times landing tails up compared with the penny. The students are instructed to spin the penny and the dime 30 times and record the number of times each lands tails up. For one student, the penny lands tails side up 18 times, and the dime lands tails side up 20 times. Let pD = the true proportion of times a dime will land tails up and pP = the true proportion of times a penny will land tails up. The P-value for this significance test is 0.296. Which of the following is the correct conclusion for this test of the hypotheses at the level?

Question illustration
A
The student should reject the null hypothesis since 0.296 > 0.05. There is sufficient evidence that the true proportion of times a dime will land tails up is significantly less than the penny.
B
The student should reject the null hypothesis since 0.296 > 0.05. There is insufficient evidence that the true proportion of times a dime will land tails up is significantly less than the penny.
C
The student should fail to reject the null hypothesis since 0.296 > 0.05. There is sufficient evidence that the true proportion of times a dime will land tails up is significantly less than the penny.
D
The student should fail to reject the null hypothesis since 0.296 > 0.05. There is insufficient evidence that the true proportion of times a dime will land tails up is significantly less than the penny.
2
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According to a recent survey of adults, approximately 62% carry cash on a regular basis. The adults were also asked if they have children. Of the 46% who have children, 85% carry cash on a regular basis. Is carrying cash independent from having children in this sample?

A
No, P(carry cash) = P(carry cash|have children).
B
No, P(carry cash) ≠ P(carry cash|have children).
C
Yes, P(carry cash) = P(carry cash|have children).
D
Yes, P(carry cash) ≠ P(carry cash|have children).
5

A 95% confidence interval for the true proportion of teenagers who have been to a professional sporting event is (0.289, 0.416). Is it reasonable to believe that more than 25% of teenagers have been to a professional sporting event?

A
Yes, because 0.3525 is in the interval.
B
Yes, because the entire interval is greater than 0.25.
C
No, because there are values in the interval greater than 0.3525.
D
No, because the center of the interval is 0.3525, which is not statistically greater than 0.25.
6

A ski resort claims that there is a 75% chance of snow on any given day in January and that snowfall happens independently from one day to the next. A family plans a four-day trip to this ski resort in January. Let X represent the number of days it snows while the family is there. What are the mean and standard deviation of X?

A
Mu Subscript x Baseline = 1, Sigma Subscript x Baseline = 1
Option A
B
Mu Subscript x Baseline = 2, Sigma Subscript x Baseline = 0.56
Option B
C
Mu Subscript x Baseline = 3, Sigma Subscript x Baseline = 0.75
Option C
D
Mu Subscript x Baseline = 3, Sigma Subscript x Baseline = 0.87
Option D
7

The times to pop a 3.4-ounce bag of microwave popcorn without burning it are Normally distributed with a mean time of 140 seconds and a standard deviation of 20 seconds. A random sample of four bags is selected and the mean time to pop the bags is recorded. Which of the following describes the sampling distribution of all possible samples of size four?

A
approximately Normal with a mean of 70 seconds and a standard deviation of 5 seconds
B
approximately Normal with a mean of 70 seconds and a standard deviation of 20 seconds
C
approximately Normal with a mean of 140 seconds and a standard deviation of 20 seconds
D
approximately Normal with a mean of 140 seconds and a standard deviation of 10 seconds
10

A carnival game is designed so that approximately 10% of players will win a large prize. If there is evidence that the percentage differs significantly from this target, then adjustments will be made to the game. To investigate, a random sample of 100 players is selected from the large population of all players. Of these players, 19 win a large prize. The question of interest is whether the data provide convincing evidence that the true proportion of players who win this game differs from 0.10. The computer output gives the results of a z-test for one proportion.Test and CI for One ProportionTest of p = 0.1 vs p ≠ 0.1Sample1X19N100Sample p0.1995% CI(0.113, 0.267)Z-Value3.00P-value0.0027

A
Because the P-value < a = 0.05, there is convincing evidence that the true proportion of players who win this game differs from 0.10.
B
Because the P-value < a = 0.05, there is convincing evidence that the true proportion of players who win this game differs from 0.19.
C
Because the P-value < a = 0.05, there is not convincing evidence that the true proportion of players who win this game differs from 0.10.
D
Because the P-value < a = 0.05, there is not convincing evidence that the true proportion of players who win this game differs from 0.19.
11

A student believes that a certain 6-sided number cube, with the numbers 1 to 6, is unfair and is more likely to land with a 6 facing up. The student rolls the cube 100 times and lands with 6 facing up 20 times. The P-value for the test of the hypotheses, H0:p=0.17 and Ha:p>0.17, is 0.19. What is the correct conclusion given a=0.05?

A
Because the P-value is less than a=0.05, the student should reject H0.
B
Because the P-value is less than a=0.05, the student should fail to reject H0.
C
Because the P-value is greater than a=0.05, the student should reject H0.
D
Because the P-value is greater than a=0.05, the student should fail to reject H0.
12

The proportion of all US adults who eat popcorn when they go to the movie theater is p = 0.87. A random sample of 20 US adults was selected and asked if they eat popcorn when they go to the movie theater. Which of the following is the shape of the sampling distribution of ?

Question illustration
A
The sampling distribution of is approximately Normal because .
Option A
B
Because , the sampling distribution of is not approximately Normal. The sampling distribution of is skewed right and centered at 0.87.
Option B
C
Because , the sampling distribution of is not approximately Normal. Because p = 0.87 is closer to 1 than 0, the sampling distribution of is skewed to the left.
Option C
D
Because , the sampling distribution of is not approximately Normal. Because p = 0.87 is closer to 1 than 0, the sampling distribution of is skewed to the right.
Option D
13

A major car dealership has several stores in a big city. The owner wants to determine if there is a difference in the proportion of SUVs that are sold at stores A and B. The owner gathers the sales records for each store from the past year. A random sample of 55 receipts from store A shows that 30 of the sales were for SUVs. Another random sample of 60 receipts from store B shows that 42 of the sales were for SUVs. Assuming conditions for inference are met, what is the 99% confidence interval for the difference in proportions of sales that are SUVs?Find the z-table here.

A
(0.45 minus 0.30) plus-or-minus 1.96 StartRoot StartFraction 0.45 (1 minus 0.45) Over 60 EndFraction + StartFraction 0.30 (1 minus 0.30) Over 55 EndFraction EndRoot
Option A
B
(0.55 minus 0.70) plus-or-minus 1.96 StartRoot StartFraction 0.55 (1 minus 0.55) Over 55 EndFraction + StartFraction 0.70 (1 minus 0.70) Over 60 EndFraction EndRoot
Option B
C
(0.45 minus 0.30) plus-or-minus 2.58 StartRoot StartFraction 0.45 (1 minus 0.45) Over 60 EndFraction + StartFraction 0.30 (1 minus 0.30) Over 55 EndFraction EndRoot
Option C
D
(0.55 minus 0.70) plus-or-minus 2.58 StartRoot StartFraction 0.55 (1 minus 0.55) Over 55 EndFraction + StartFraction 0.70 (1 minus 0.70) Over 60 EndFraction EndRoot
Option D
16

The ages of the 5 officers for a school club are 18, 18, 17, 16, and 15. The range of the distribution of ages is 3. The table displays all possible samples of size 2 and the corresponding ranges for each sample.Using the values in the table, is the sample range an unbiased estimator?

Question illustration
A
Yes, 3 is the maximum of the sample ranges.
B
Yes, the range of the sampling distribution of the sample range is 3.
C
No, 80% of the possible values of the range of the samples is less than 3.
D
No, the mean of the sampling distribution of the sample ranges is 1.6, which is not 3.
18

In early 2019, the US rate of recycling plastic water bottles was only 23%. A government agency designs an expensive program to increase the recycling rate. The program will be tested in Texas and, if successful, it will be used nationally. A hypothesis test is conducted with H0: The proportion of water bottles that are recycled is still 23% after the program, and Ha: The proportion of water bottles that are recycled is more than 23% after the program. What is a Type II error and its consequence in this context?

A
The agency concludes that the program increases the recycling rate, when in fact it does not. The program will be implemented at great cost to the agency.
B
The agency concludes that the program does not increase the recycling rate, when in fact it does. The program will be implemented and will increase water bottle recycling.
C
The agency concludes that the program does not increase the recycling rate, when in fact it does increase the rate. The agency will not implement a program that could have increased the water bottle recycling rate.
D
The agency concludes that the program increases the recycling rate, when in fact it does not. The agency will not implement a program that could have increased the water bottle recycling rate.

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