Exam 14: Using Inferential Statistics

By setting a criterion probability for rejecting the null hypothesis, one can set the rate at which one will commit Type I errors. This criterion that is the probability of making a Type I error is known as the _____.

(Multiple Choice)

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Question 41

The statistic used in the analysis of variance (ANOVA) to determine statistical significance is the:

(Multiple Choice)

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Question 42

The _____ allows one to examine the relationship between experimentally manipulated variables while statistically controlling another variable that may be correlated with them.

(Multiple Choice)

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Question 43

Increasing the sample size increases the power of a statistical test.

(True/False)

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Question 44

The hypothesis that sample means are drawn from the same population is referred to as the _____ hypothesis.

(Multiple Choice)

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Question 45

The power of a statistical test is its ability to:

(Multiple Choice)

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Question 46

When an interaction is present, _____.

(Multiple Choice)

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Question 47

Compare and contrast parametric and nonparametric statistics. What are the defining qualities of each, and when would each be applied to data?

(Essay)

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Question 48

Which of the following statements is true of nonparametric statistics?

(Multiple Choice)

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Question 49

For an experiment that includes four levels of a single independent variable, the most appropriate statistical test is the:

(Multiple Choice)

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Question 50

A statistically significant difference between sample means leads us to:

(Multiple Choice)

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Question 51

After doing analysis of variance (ANOVA), you want to see which of your means differed significantly. Before you began your experiment, you specifically hypothesized that certain means would differ. Consequently, you would perform:

(Multiple Choice)

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Question 52

To estimate the sample sizes required to obtain a desired amount of power, one needs to state the:

(Multiple Choice)

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Question 53

Degrees of freedom are useful in descriptive statistics but have little use in inferential statistics.

(True/False)

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Question 54

Serious violations of one or more of the assumptions underlying parametric inferential tests:

(Multiple Choice)

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Question 55

In the context of inferential statistics, which of the following statements is true of the alpha level?

(Multiple Choice)

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Question 56

When your dependent variable is a dichotomous decision, the most appropriate nonparametric test is _____.

(Multiple Choice)

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Question 57

In the context of inferential statistics, a parameter is a characteristic of a sample, whereas a statistic is a characteristic of a population.

(True/False)

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Question 58

The probability that a difference between means at least as large as the one observed would have occurred by chance alone refers to _____ significance.

(Multiple Choice)

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Question 59

At a given significance level, a one-tailed test:

(Multiple Choice)

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Question 60

Showing 41 - 60 of 81

By setting a criterion probability for rejecting the null hypothesis, one can set the rate at which one will commit Type I errors. This criterion that is the probability of making a Type I error is known as the _____.

The statistic used in the analysis of variance (ANOVA) to determine statistical significance is the:

The _____ allows one to examine the relationship between experimentally manipulated variables while statistically controlling another variable that may be correlated with them.

Increasing the sample size increases the power of a statistical test.

The hypothesis that sample means are drawn from the same population is referred to as the _____ hypothesis.

The power of a statistical test is its ability to:

When an interaction is present, _____.

Compare and contrast parametric and nonparametric statistics. What are the defining qualities of each, and when would each be applied to data?

Which of the following statements is true of nonparametric statistics?

For an experiment that includes four levels of a single independent variable, the most appropriate statistical test is the:

A statistically significant difference between sample means leads us to:

After doing analysis of variance (ANOVA), you want to see which of your means differed significantly. Before you began your experiment, you specifically hypothesized that certain means would differ. Consequently, you would perform:

To estimate the sample sizes required to obtain a desired amount of power, one needs to state the:

Degrees of freedom are useful in descriptive statistics but have little use in inferential statistics.

Serious violations of one or more of the assumptions underlying parametric inferential tests:

In the context of inferential statistics, which of the following statements is true of the alpha level?

When your dependent variable is a dichotomous decision, the most appropriate nonparametric test is _____.

In the context of inferential statistics, a parameter is a characteristic of a sample, whereas a statistic is a characteristic of a population.

The probability that a difference between means at least as large as the one observed would have occurred by chance alone refers to _____ significance.

At a given significance level, a one-tailed test:

Explaining Behavior

Developing and Evaluating Theories of Behavior

Getting Ideas for Research

Choosing a Research Design

Making Systematic Observations

Choosing and Using Research Subjects

Understanding Ethical Issues in the Research Process

Doing Nonexperimental Research

Doing Survey Research

Using Between-Subjects and Within-Subjects Experimental Designs

Using Specialized Research Designs

Using Single-Subject Designs

Describing Data

Using Multivariate Design and Analysis

Reporting Your Research Results

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