SOLUTION: A distribution of scores has µ = 40 and σ = 18
a. describe the distribution of sample means based on samples of n = 36 selected from this population (shape, central tendency,
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a. describe the distribution of sample means based on samples of n = 36 selected from this population (shape, central tendency,
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Question 387293: A distribution of scores has µ = 40 and σ = 18
a. describe the distribution of sample means based on samples of n = 36 selected from this population (shape, central tendency, variability)
b. of all the possible samples of n = 36, what proportion will have sample means greater than 43?
c. of all the possible samples of n = 36, what proportion will have sample means less than 34? Answer by robertb(5830) (Show Source):
You can put this solution on YOUR website! a. n = 36, this is considered a large sample. For large samples, the Central Limit Theorem says that the distribution of the sample means is approximately normal (getting better as n gets higher and higher). The mean is and the variance .
b. . Hence .
c. . Hence .
