Asked by Eytan Weisz on Apr 28, 2024
Verified
The sampling distribution of 
is normal if the sampled populations are normal, and approximately normal if the populations are nonnormal and the sample sizes 
and 
are large.
Sampled Populations
Populations from which samples are drawn for the purpose of conducting research or statistical analysis.
Sample Sizes
The number of observations or items selected from a population to constitute a sample.
- Comprehend the significance of the Central Limit Theorem and its effects on the distribution of sample means as well as the differences between two sample means.
Verified Answer
JP
Jamil PittmanMay 04, 2024
Final Answer :
True
Explanation :
This statement is correct according to the central limit theorem, which states that the sampling distribution of a large enough sample size will be approximately normal, regardless of the distribution of the population being sampled from.
Learning Objectives
- Comprehend the significance of the Central Limit Theorem and its effects on the distribution of sample means as well as the differences between two sample means.
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