The distribution of sample means is not always a normal distribution. Under what circumstances will the distribution of sample means be normal? Check all that apply. V When it is based on large samples (n 2 30) When it is based on a population that does not have a normal distribution O When it is based on small samples (n < 30) O When it is based on large samples (n 2 5) When it is based on samples selected from a population that has a normal distribution

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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The distribution of sample means is not always a normal distribution. Under what circumstances will the distribution of sample means be normal? **Check all that apply.**

- [x] When it is based on large samples (n ≥ 30)

- [ ] When it is based on a population that does not have a normal distribution

- [ ] When it is based on small samples (n < 30)

- [ ] When it is based on large samples (n ≥ 5)

- [x] When it is based on samples selected from a population that has a normal distribution
Transcribed Image Text:The distribution of sample means is not always a normal distribution. Under what circumstances will the distribution of sample means be normal? **Check all that apply.** - [x] When it is based on large samples (n ≥ 30) - [ ] When it is based on a population that does not have a normal distribution - [ ] When it is based on small samples (n < 30) - [ ] When it is based on large samples (n ≥ 5) - [x] When it is based on samples selected from a population that has a normal distribution
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