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Exam 7: Estimation and Sampling Distributions

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Question 21

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As the variability of scores in the population decreases,the standard error of the mean _____,other things being equal.

A) remains constant
B) fluctuates
C) increases
D) decreases

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Question 22

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The amount of sampling error can be represented as the difference between the value of a _____ and the value of the corresponding _____.

A) standard deviation;variance
B) sample statistic;population parameter
C) sample;population
D) mean;standard deviation

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Question 23

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A sum of squares around a sample mean will always have _____ degrees of freedom associated with it.

What is the central limit theorem?

The symbols for the sample variance and population variance are ____ and ____,respectively.

According to the central limit theorem,the sampling distribution of the mean approximates a _____ distribution as the sample size _____.

The standard deviation of a sampling distribution of the mean is called the standard error of the mean.

Which of the following formulas for the variance would be used if a researcher is interested in inferring what the population value would be?

In most behavior science research a goal is to describe very large groups of people.This would be considered a(n) _____.

Which of the following values is the best estimate of the population mean using the following sample data: 4,4,4,5,5?

There is a different sampling distribution of the mean for every sample size.

You ask 5 people to indicate the extent to which they agree or disagree with a statement regarding the legalization of marijuana.You get the following set of scores: 2,3,4,5,5.What is the estimated standard error of the mean for this set of scores?

One result of the central limit theorem is that the _____ of a sampling distribution of the mean is always equal to the _____.

In the absence of any other information,the sample mean that one observes is _____ of the value of the population mean.

Explain what the phrase "degrees of freedom" refers to and discuss how it relates to the accuracy of an estimate.

An unbiased estimator of the population variance can be obtained from sample data by dividing the sum of squares by:

If you were interested in obtaining a random sample of all adults in the United States,it would be useful and feasible to get a list of all adults living in the United States.

The term "sampling error" reflects the fact that sample values are likely to differ from population values because:

An unbiased estimator of a population parameter is one whose average (mean)over all possible random samples of a given size equals the value of the parameter.

Calculate the unbiased estimate of the population variance using the following sample data: 2,3,4,5,5.