Cumulative Exam — Cumulative exam Answers

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From previous experience, the owner of an apple orchard knows that the mean weight of Gala apples is 140 grams. There has been more precipitation than usual this year, and the owner believes the weights of the apples will be heavier than usual. The owner takes a random sample of 30 apples and records their weights. The mean weight of the sample is 144 grams with a standard deviation of 13.2 grams. A significance test at an alpha level of produces a P-value of 0.054. What is the correct interpretation of the P-value?

Question illustration
A
There is a 5.4% chance that the null hypothesis is incorrect if the true mean weight is 140 grams.
B
There is a 5.4% chance that a sample mean of 144 grams or greater will occur by chance if the true mean weight is 140 grams.
C
There is a 5.4% probability that a sample mean of 144 grams will occur by chance alone if the true mean weight is 140 grams.
D
Assuming the true mean weight of the apples is 140 grams, there is a 94.6% probability that a random sample of apples will produce a mean weight of 140 grams.
27

A study is done to estimate the true mean satisfaction rating for all customers of a particular retail store. A random sample of 200 customers is selected and a 99% confidence interval for the true mean satisfaction rating is 7.8 to 8.4 where 1 represents very dissatisfied and 10 represents completely satisfied. Based upon this interval, what conclusion should be made about the hypotheses: = 8 versus 8 where μ = the true mean satisfaction rating for all customers of this store at α = 0.01?

Question illustration
A
Reject H0. There is convincing evidence that the true mean satisfaction rating of all customers in this store equals 8.
B
Reject H0. There is convincing evidence that the true mean satisfaction rating of all customers in this store differs from 8.
C
Fail to reject H0. There is not convincing evidence that the true mean satisfaction rating of all customers in this store equals 8.
D
Fail to reject H0. There is not convincing evidence that the true mean satisfaction rating of all customers in this store differs from 8.
28

A conference consists of 5 sessions: A, B, C, D, and E. Here are the costs of the sessions.Session A: $50Session B: $50Session C: $100Session D: $150Session E: $200A participant plans to attend 3 sessions. Here is a list of all possible samples of size 3 sessions from this population of 5 sessions: ABC, ABD, ABE, ACD, ACE, ADE, BCD, BCE, BDE, and CDE. Which of the following gives the sampling distribution of the sample minimum session price for samples of size 3, selected from the population of these 5 sessions without replacement?

A
A dotplot. A number line labeled sampling distribution of the sample minimum session price (dollars) goes from 100 to 200. 100, 1; 150, 3; 200, 6.
Option A
B
A dotplot. A number line labeled sampling distribution of the sample minimum session price (dollars) goes from 50 to 100. 50, 2; 100, 1.
Option B
C
A dotplot. A number line labeled sampling distribution of the sample minimum session price (dollars) goes from 100 to 200. 50, 2; 100, 1; 150, 1; 200, 1.
Option C
D
A dotplot. A number line labeled sampling distribution of the sample minimum session price (dollars) goes from 50 to 100. 50, 9; 100, 1.
Option D
29

A school guidance counselor is concerned that a greater proportion of high school students are working part-time jobs during the school year than a decade ago. A decade ago, 28% of high school students worked a part-time job during the school year. To investigate whether the proportion is greater today, a random sample of 80 high school students is selected. It is discovered that 37.5% of them work part-time jobs during the school year. The guidance counselor would like to know if the data provide convincing evidence that the true proportion of all high school students who work a part-time job during the school year is greater than 0.28. The guidance counselor tests the hypotheses H0: p = 0.28 versus Ha: p > 0.28, where p = the true proportion of all high school students who work a part-time job during the school year. The conditions for inference are met. The standardized test statistic is z = 1.89 and the P-value is 0.0294. What conclusion should be made using the α = 0.05 significance level?

A
Because the P-value is less than α = 0.05, there is convincing evidence that the true proportion of all high school students who work a part-time job during the school year is greater than 0.28.
B
Because the P-value is less than α = 0.05, there is not convincing evidence that the true proportion of all high school students who work a part-time job during the school year is greater than 0.28.
C
Because the P-value is less than α = 0.05, there is convincing evidence that the proportion of high school students in this sample who work a part-time job during the school year is greater than 0.28.
D
Because the P-value is less than α = 0.05, there is not convincing evidence that the proportion of high school students in this sample who work a part-time job during the school year is greater than 0.28.
32

A student decides to spin a dime and determine the proportion of times it lands on heads. The student spins the dime 25 times and records that it lands on heads 17 times. Let p = the true proportion of times the dime would land on heads when spun. Under the assumption that the true proportion is 0.5, 100 simulated proportions for samples of size 25 is shown in the dotplot. Using the dotplot, is there evidence that the proportion of times a spun dime lands on heads is greater than 0.5?

Question illustration
A
Yes, a proportion of 0.68 proves that the true proportion of heads is greater than 0.5.
B
Yes, a proportion of 0.68 only occurred once out of 100 simulated proportions; therefore, there is sufficient evidence that the true proportion of heads is greater than 0.5.
C
No, a proportion of 0.68 is only 0.18 more than 0.5; therefore, there is insufficient evidence that the true proportion of heads is greater than 0.5.
D
No, a proportion of 0.68 or more occurred 7 times out of 100 simulated proportions; therefore, there is insufficient evidence that the true proportion of heads is greater than 0.5.
33

One professional basketball player typically attempts eight free throws per game. Let X represent the number of free throws made out of eight. The distribution for X is shown in the table.Which of the following is the correct interpretation of P(X ≤ 3)?

Question illustration
A
The probability of the number of free throws made out of 8 is at most 3.
B
The probability of the number of free throws made out of 8 is at least 3.
C
The probability of the number of free throws made out of 8 is lower than 3.
D
The probability of the number of free throws made out of 8 is higher than 3.
39

At a local college, an admissions officer surveys the incoming class of 1,000 first-year students concerning their preference of major. The officer randomly selects 100 of them and asks if they intend to major in liberal arts. Of the 100 first-year students, 62 state they intend on majoring in liberal arts. Assuming the conditions for inference have been met, what is the 95% confidence interval for the true proportion of first-year students who intend on majoring in liberal arts?

A
0.38 plus-or-minus 1.96 StartRoot StartFraction 0.38 (1 minus 0.38) Over 100 EndFraction EndRoot
Option A
B
0.62 plus-or-minus 1.96 StartRoot StartFraction 0.62 (1 minus 0.62) Over 100 EndFraction EndRoot
Option B
C
0.38 plus-or-minus 1.65 StartRoot StartFraction 0.38 (1 minus 0.38) Over 1000 EndFraction EndRoot
Option C
D
0.62 plus-or-minus 1.65 StartRoot StartFraction 0.62 (1 minus 0.62) Over 1000 EndFraction EndRoot
Option D

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