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TVarnum

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Dividing the variance of the population of individuals by the number of individuals in each sample yields
 
  A) the standard deviation of the population.
  B) the variance of the distribution of means.
  C) an estimate of the sample's standard deviation.
  D) the average deviation of the distribution of means.

Question 2

The variance of a distribution of means is smaller than the original population variance because
 
  A) it is based on fewer individuals than is the original population.
  B) it is an estimate of the sample parameters rather than of the original population.
  C) extreme scores are less likely to affect a distribution of means.
  D) the mean of a distribution of means is so different than the population mean.



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cclemon1

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Answer to Question 1

B

Answer to Question 2

C





 

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