Exam 9: Three Tests of Significance
Exam 1: Approaches to Methods19 Questions
Exam 2: Explaining10 Questions
Exam 3: Experiments, Quasi-Experiments, and Field Observations32 Questions
Exam 4: Survey Designs21 Questions
Exam 5: Nonreactive and Comparative Research20 Questions
Exam 6: Qualitative Research Methods39 Questions
Exam 7: Critical Approaches to Research: Action and Feminist Research15 Questions
Exam 8: A Statistics Primer30 Questions
Exam 9: Three Tests of Significance20 Questions
Exam 10: Bias22 Questions
Exam 11: Ethical Issues14 Questions
Exam 12: Getting the Project Started20 Questions
Exam 13: Measurement27 Questions
Exam 14: Questionnaire Development20 Questions
Exam 15: Sampling and Sample Size20 Questions
Exam 16: Starting the Data Analysis9 Questions
Exam 17: Basic Multivarate Techniques38 Questions
Exam 18: The Research Report4 Questions
Exam 19: Using Spss for Windows13 Questions
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To accept the null hypothesis when using a between-subjects t-test, which of the following conditions must satisfied:
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A test of significance reports the probability that:
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B
When tests of significance are needed for more complex experimental designs, which of the following statistical instruments is used:
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The distribution associated with the analysis of variance is:
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If no prediction concerning the direction of the relationship is made, then:
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The chi-square, represented by x2, is expressed by which of the following:
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To calculate the degrees of freedom, one must employ which of the following:
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Which of the following represents an instance where tests of significance are not appropriate:
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When executing control analyses, a test of significance after the original relationship has been tested is:
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If the probability of an observed difference being a result of sampling error is less than 5%, then:
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In conducting a test of significance, the researcher is determining whether the results of one sample fall outside the null hypothesis zone, which usually is:
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Normally, within a chi-square test, the dependent variable is:
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