AnswersNC-Math 4Sampling Distribution of the Sample Mean

Sampling Distribution of the Sample Mean — Unit test Answers

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A real estate agent in a large city claims to sell 15% of their houses within two months of the original listing. A random sample of 75 listings is chosen, and 9 were sold within two months of the original listing. Let = the proportion of houses in the random sample that were sold within two months.The probability of 12% or fewer of this real estate agent’s listings being sold within two months is 0.295. Does this result provide convincing evidence against the agent’s claim?

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A
Yes, it is expected that at least 9 houses will be sold within two months.
B
Yes, the probability of seeing the sample result is so far from what is expected that the probability of it occurring by chance alone is very unlikely.
C
No, there is a very small chance of seeing the sample result. It is unlikely to occur by chance alone.
D
No, the difference between the sample result and what is expected is not extreme enough. The probability of it occurring by chance alone is not unlikely.
6

A bottled water company bottles varying sizes of water, from 8-ounce to 1-gallon containers. The company has determined that the mean quantity in their 20-ounce bottles is 20.8 ounces with a standard deviation of 0.6 ounces. The bottling plant manager believes his machines are overfilling the bottles. A random sample of 30 bottles is taken, and the mean number of ounces of water is determined to be 20.9. Under the assumption that the true mean ounces of water is 20.8, 100 simulated means for samples of size 30 are shown in the dotplot.Using the dotplot, is there evidence that machines are overfilling the 20-ounce bottles?

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A
Yes, since a sample mean of 20.9 is greater than the mean, 20.8, there is evidence that the true mean ounces of water is greater than 20.8.
B
Yes, since a sample mean of 20.9 never occurred in the 100 simulated values, there is evidence that the true mean ounces of water is greater than 20.8.
C
No, since a sample mean of 20.9 or more occurred 19 out of 100 times, there is insufficient evidence that the true mean ounces of the bottles of water is greater than 20.8.
D
No, since a sample mean of 20.9 never occurred in the dotplot, it is not possible that a random sample of 30 bottles will have a mean number of ounces of 20.9. Therefore, there is insufficient evidence that the true mean ounces is greater than 20.8.
8

The proportion of all high school students who watch national news is p = 0.47. A random sample of 50 high school students is selected. Which of the following is the mean of the sampling distribution of ?

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A
Mu Subscript p hat = p = 0.47
Option A
B
Mu Subscript p hat = n p = 50 (0.47) = 23.5
Option B
C
Mu Subscript p hat = 1 minus p = 1 minus 0.47 =0.53
Option C
D
Mu Subscript p hat = n (1 minus p) = 50 (1 minus 0.47) = 26.5
Option D
11

The proportion of all high school students who watch national news is p = 0.57. A random sample of 60 high school students is selected. Which of the following is the correct calculation and interpretation of the standard deviation of the sampling distribution of ?

Question illustration
A
In SRSs of size 60, the sample proportion of high school students who watch the national news typically varies 0.004 from the true proportion, p = 0.57.
Option A
B
In SRSs of size 60, the sample proportion of high school students who watch the national news typically varies 0.064 from the true proportion, p = 0.57.
Option B
C
In SRSs of size 60, the sample proportion of high school students who watch the national news typically varies 0.245 from the true proportion, p = 0.57.
Option C
D
In SRSs of size 60, the sample proportion of high school students who watch the national news typically varies 0.570 from the true proportion, p = 0.57.
Option D
12

The distribution of tips given by customers who buy one cup of coffee is bimodal with a mean of $0.29 and a standard deviation of $0.1164. If a random sample of 50 tips from customers who buy one cup of coffee is selected, is it appropriate to calculate the probability of a sample mean being more than $0.32 using an approximately Normal model?

A
Yes, the population of all people who buy one cup of coffee is extremely large, so the shape of the sampling distribution of is not a concern, and P(> 32) = 0.0372.
Option A
B
Yes, since the sample size 50 is large enough, the sampling distribution for would be approximately Normal, and P(>32) = 0.0372.
Option B
C
Yes, since the sample size 50 is large enough, the sampling distribution for would be approximately Normal, and P(> 32) = 0.3983.
Option C
D
No, it is not appropriate to estimate the probability using an approximately Normal model because the population is not Normal, and the sample size is not reasonably large.
14

The ages of the 5 officers for a school club are 18, 18, 17, 16, and 15. The proportion of officers who are younger than 18 is 0.6. The table displays all possible samples of size 2 and the corresponding proportion for each sample.Using the proportions in the table, is the sample proportion an unbiased estimator?

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A
Yes, the sample proportions are calculated using samples from the population.
B
Yes, the mean of the sample proportions is 0.6, which is the same as the population proportion.
C
No, 0.6 is not one of the possible sample proportions.
D
No, 70% of the sample proportions are less than or equal to 0.5.
17

In a large high school, 37% of the teachers believe that five minutes is not enough time for students to change classes. However, 89% of the students believe that five minutes is not enough time for students to change classes. Let and be the sample proportions of teachers and students, respectively, who believe that five minutes is not enough time for students to change classes. Suppose 28 teachers and 100 students are selected at random and asked their opinion on the amount of time students have to change class.Which of the following is the correct calculation and interpretation of the standard deviation of the sampling distribution of ?

Question illustration
A
The difference (faculty — student) in the sample proportions of those who believe that five minutes is not enough time for students to change classes typically varies about –0.52 from the true difference in proportions.
B
The difference (faculty — student) in the sample proportions of those who believe that five minutes is not enough time for students to change classes typically varies about 0.009 from the true difference in proportions.
C
The difference (faculty — student) in the sample proportions of those who believe that five minutes is not enough time for students to change classes typically varies about 0.086 from the true difference in proportions.
D
The difference (faculty — student) in the sample proportions of those who believe that five minutes is not enough time for students to change classes typically varies about 0.096 from the true difference in proportions.

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Sampling Distribution of the Sample Mean — Unit…