17. A random of size 25 is taken with replacement from a population with u 121.4 and o? = 50.5. Find the mean Hz- с. 122.5 D. 122 A. 121.4 В. 121.5 18. Which of the following is stated in the Central Limit Theorem? A. The sampling distribution of the sample means approaches a normal distribution as the sample size decreases, no matter what the shape of the distribution is. B. The sampling distribution of the sample means approaches a normal distribution as the sample size increases, no matter what the shape of the distribution is. C. The sampling distribution of the sample means deviates from a normal distribution as the sample size decreases, no matter what the shape of the distribution is. D. The sampling distribution of the sample means deviates from a normal distribution as the sample size increases, no matter what the shape of the distribution is. 19. Why is it important to sample not more than 10% of the population when the sample is drawn without replacement? A. To reduce the effort when gathering data from the sample B. To lessen the expenses that may occur during the conduct of research C. To minimize the chance of creating a significant change when removing each item in the observation D. To clearly see the behavior of the sample and then create a significant change from the population 20. The independence condition for the Central Limit Theorem is assumed to be met when A. the sample is biased B. the sample is randomly selected C. the sample is drawn with replacement D. the sample is drawn without replacement

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
Section: Chapter Questions
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Question
17-20
17. A random of size 25 is taken with replacement from a population with u 121.4
and o² = 50.5. Find the mean Hz-
C. 122.5
D. 122
A. 121.4
В. 121.5
18. Which of the following is stated in the Central Limit Theorem?
A. The sampling distribution of the sample means approaches a normal
distribution as the sample size decreases, no matter what the shape of
the distribution is.
B. The sampling distribution of the sample means approaches a normal
distribution as the sample size increases, no matter what the shape of
the distribution is.
C. The sampling distribution of the sample means deviates from a normal
distribution as the sample size decreases, no matter what the shape of
the distribution is.
D. The sampling distribution of the sample means deviates from a normal
distribution as the sample size increases, no matter what the shape of
the distribution is.
19. Why is it important to sample not more than 10% of the population when the
sample is drawn without replacement?
A. To reduce the effort when gathering data from the sample
B. To lessen the expenses that may occur during the conduct of research
C. To minimize the chance of creating a significant change when removing
each item in the observation
D. To clearly see the behavior of the sample and then create a significant
change from the population
20. The independence condition for the Central Limit Theorem is assumed to be
met when
A. the sample is biased
B. the sample is randomly selected
C. the sample is drawn with replacement
D. the sample is drawn without replacement
Transcribed Image Text:17. A random of size 25 is taken with replacement from a population with u 121.4 and o² = 50.5. Find the mean Hz- C. 122.5 D. 122 A. 121.4 В. 121.5 18. Which of the following is stated in the Central Limit Theorem? A. The sampling distribution of the sample means approaches a normal distribution as the sample size decreases, no matter what the shape of the distribution is. B. The sampling distribution of the sample means approaches a normal distribution as the sample size increases, no matter what the shape of the distribution is. C. The sampling distribution of the sample means deviates from a normal distribution as the sample size decreases, no matter what the shape of the distribution is. D. The sampling distribution of the sample means deviates from a normal distribution as the sample size increases, no matter what the shape of the distribution is. 19. Why is it important to sample not more than 10% of the population when the sample is drawn without replacement? A. To reduce the effort when gathering data from the sample B. To lessen the expenses that may occur during the conduct of research C. To minimize the chance of creating a significant change when removing each item in the observation D. To clearly see the behavior of the sample and then create a significant change from the population 20. The independence condition for the Central Limit Theorem is assumed to be met when A. the sample is biased B. the sample is randomly selected C. the sample is drawn with replacement D. the sample is drawn without replacement
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