-Why is it important to sample not more than 10% of the population when the mple 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 The independence condition for the Central Limit Theorem is assumed to be t 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

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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19 & 20. letter only

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: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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