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: Related Samples T Test79 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 Measures Design80 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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If the value of the test statistic is in the rejection region,then
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(Multiple Choice)
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Correct Answer:
D
A Type III error is only possible for hypothesis tests where the rejection region is located in one tail.
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True
The alpha level must be split into each tail for a directional hypothesis test.
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Correct Answer:
False
The probability of committing a Type I error is stated by ________;the probability for committing a Type II error is stated by ________.
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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?
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What are the two decisions that researchers can make in hypothesis testing?
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As sample size increases,the power to detect an effect increases.
(True/False)
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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?


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A researcher believes that increasing attention given to children will improve mean academic performance.Therefore,the alternative hypothesis should be:
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A researcher conducts two studies.Each study was a one-sample z test.Both studies placed the rejection region in both tails and measured the same sample mean.The alpha level in Study 1 was larger than the alpha level used in Study 2.Which study is associated with greater power to detect an effect?
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The null hypothesis and alternative hypotheses are statements about parameters in the population.
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The test statistic determines whether or not an effect exists in a population;effect size measures the size of an observed effect in a population.
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Assuming that the rejection region is placed in the correct tail,the power of detecting an effect is larger for one-tailed tests compared with two-tailed tests.
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Which of the following is not one of the four steps to hypothesis testing?
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As effect size increases,the power to detect an effect decreases.
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The criteria for a decision regarding the value stated in a null hypothesis is set by the
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