2. The Central Limit Theorem states that: A. the sample size is large. B. all possible samples are selected. C. the standard error of the sampling distribution is small. D. the standard deviation is sufficiently large than the normal

2. The Central Limit Theorem states that: A. the sample size is large. B. all possible samples are selected. C. the standard error of the sampling distribution is small. D. the standard deviation is sufficiently large than the normal

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter13: Probability And Calculus

Section13.CR: Chapter 13 Review

Problem 10CR

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Question

2. The Central Limit Theorem states that:

A. the sample size is large.

B. all possible samples are selected.

C. the standard error of the sampling distribution is small.

D. the standard deviation is sufficiently large than the normal.

Definition Definition Number of subjects or observations included in a study. A large sample size typically provides more reliable results and better representation of the population. As sample size and width of confidence interval are inversely related, if the sample size is increased, the width of the confidence interval decreases.

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