Solved

If the Underlying Populations Cannot Be Assumed to Be Normal

Question 111

True/False

If the underlying populations cannot be assumed to be normal, then by the central limit theorem, the sampling distribution of If the underlying populations cannot be assumed to be normal, then by the central limit theorem, the sampling distribution of <sub>1</sub> - <sub>2</sub> is approximately normal only if the sum of the sample observations is sufficiently large-that is, when n<sub>1</sub> + n<sub>2</sub> ≥ 30. 1 - If the underlying populations cannot be assumed to be normal, then by the central limit theorem, the sampling distribution of <sub>1</sub> - <sub>2</sub> is approximately normal only if the sum of the sample observations is sufficiently large-that is, when n<sub>1</sub> + n<sub>2</sub> ≥ 30. 2 is approximately normal only if the sum of the sample observations is sufficiently large-that is, when n1 + n2 ≥ 30.

Correct Answer:

verifed

Verified

Unlock this answer now
Get Access to more Verified Answers free of charge

Related Questions

Q106: A candidate in a local election thinks

Q107: What type of data should be collected

Q108: We estimate the unknown standard deviation of

Q109: The confidence interval for the difference μ<sub>1</sub>

Q110: To use R for solving hypothesis tests

Q112: In August 2010, Massachusetts enacted a 150-day

Q113: Statistical inference about the differences between two

Q114: If the sampling distribution of <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB6618/.jpg"

Q115: When constructing a confidence interval for the

Q116: A university wants to compare out-of-state applicants'