Exam 8: Hypothesis Testing: Significance,effect Size,and Power
Exam 1: Introduction to Statistics80 Questions
Exam 2: Summarizing Data: Frequency Distributions in Tables and Graphs80 Questions
Exam 3: Summarizing Data: Central Tendency80 Questions
Exam 4: Summarizing Data: Variability80 Questions
Exam 5: Probability80 Questions
Exam 6: Probability, normal Distributions, and Z Scores80 Questions
Exam 7: Probability and Sampling Distributions80 Questions
Exam 8: Hypothesis Testing: Significance,effect Size,and Power80 Questions
Exam 9: Testing Means: One-Sample and Two-Independent-Sample T Tests80 Questions
Exam 10: Testing Means: Truehe Related-Samples T Test80 Questions
Exam 11: Estimation and Confidence Intervals60 Questions
Exam 12: Analysis of Variance: One-Way Between-Subjects Design80 Questions
Exam 13: Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign80 Questions
Exam 14: Analysis of Variance: Two-Way Between-Subjects Factorial Design80 Questions
Exam 15: Correlation80 Questions
Exam 16: Linear Regression and Multiple Regression80 Questions
Exam 17: Nonparametric Tests: Chi-Square Tests80 Questions
Exam 18: Nonparametric Tests: Tests for Ordinal Data60 Questions
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The z statistic is a z transformation for a distribution of sample means.
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A professor gives an exam in which the mean score is 78 points.She gives another exam to test whether or not scores change.In this example,the null hypothesis is
(Multiple Choice)
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A researcher obtains z = 1.80 for a one-sample z test.What is the decision for this test at a .05 level of significance?
(Multiple Choice)
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The probability of correctly rejecting a false null hypothesis is called the power of the decision-making process.
(True/False)
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If a researcher obtains a null finding,then what is the decision?
(Multiple Choice)
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What is the typical level of significance for a hypothesis test in behavioral research?
(Multiple Choice)
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The first step to hypothesis testing requires that a researcher
(Multiple Choice)
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Which of the following statements regarding the null hypothesis is true?
(Multiple Choice)
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______ allows researchers to describe (1)how far mean scores have shifted in the population or (2)the percentage of variance that can be explained by a given variable.
(Multiple Choice)
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The value of power is influenced by the alpha level,sample size,and effect size.
(True/False)
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A researcher obtains z = 1.45 for a one-sample z test.What is the decision for this test at a .05 level of significance?
(Multiple Choice)
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Which of the following is not one of the four steps to hypothesis testing?
(Multiple Choice)
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Given the following values: = 6.0,M = 7.6,n = 36, = 6,conduct a one-sample z test at a .05 level of significance.For a one-tailed test,upper-tail critical,what is the decision?
(Multiple Choice)
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A researcher reports that scores were higher than the mean in the population,z = 1.60,p = .05 (d = 0.14).If this was a test at a .05 level of significance,then what value must be incorrectly reported?
(Multiple Choice)
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One-tailed tests will rarely,if ever,result in decisions that are different from two-tailed tests in hypothesis testing.
(True/False)
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A researcher obtains z = 2.04 for a one-sample z test.What is the decision for this test at a .05 level of significance?
(Multiple Choice)
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A researcher computes a one-sample z test in two studies.Both studies used the same alpha level,placed the rejection region in both tails,and measured the same sample mean.The researcher selects a sample of 30 participants in Study 1 and decides to retain the null hypothesis.She selects a sample of 60 participants in Study 2 and decides to reject the null hypothesis.Which of the following is the best explanation for why the decision was different in Study 1 and Study 2?
(Multiple Choice)
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A researcher reports the following result for a one-sample z test at a .05 level of significance: z = 1.88,p = .06 (d = 0.25).Is this result significant?
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