Under what circumstances can a very small treatment effect be statistically significant? Group of answer choices if the sample size is large and the sample variance is small if the sample size and variance are each large if the sample size is small and the sample variance is large if the sample size and variance are each small

Under what circumstances can a very small treatment effect be statistically significant? Group of answer choices if the sample size is large and the sample variance is small if the sample size and variance are each large if the sample size is small and the sample variance is large if the sample size and variance are each small

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Under what circumstances can a very small treatment effect be statistically significant?

Group of answer choices

if the sample size is large and the sample variance is small

if the sample size and variance are each large

if the sample size is small and the sample variance is large

if the sample size and variance are each small

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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