Exam 10: Independent Groups T-Test
Exam 1: Introduction and Mathematical Preliminaries146 Questions
Exam 2: Frequency and Probability Distributions150 Questions
Exam 3: Measures of Central Tendency and Variability154 Questions
Exam 4: Percentiles,percentile Ranks,standard Scores,and the Normal Distribution176 Questions
Exam 5: Pearson Correlation and Regression: Descriptive Aspects152 Questions
Exam 6: Probability149 Questions
Exam 7: Estimation and Sampling Distributions151 Questions
Exam 8: Hypothesis Testing: Inferences About a Single Mean160 Questions
Exam 9: Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships150 Questions
Exam 10: Independent Groups T-Test149 Questions
Exam 12: One-Way Repeated Measures Analysis of Variance140 Questions
Exam 13: Pearson Correlation and Regression: Inferential Aspects143 Questions
Exam 14: Chi-Square Test145 Questions
Exam 15: Nonparametric Statistics135 Questions
Exam 16: Two-Way Between-Subjects Analysis of Variance117 Questions
Exam 17: Overview and Extension: Statistical Tests for More Complex Designs124 Questions
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A physical therapist is interested in whether people with different bone structures will be affected differently by her new therapy program.She randomly chooses two groups of patients based on bone type: small-boned frame (XS)and large-boned frame (XL).Patients all had similar injuries.She measures the number of days each person takes to progress to a predetermined point.Here is the data:
What are the critical values of t if the alpha level is .05?
(Multiple Choice)
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Eta-squared is a(n)_____ estimator in that it tends to slightly _____ the strength of the relationship in the population across random samples.
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If a mean difference is 5,the estimated standard error of a mean difference is 4 and the nondirectional critical value of t for an alpha level of 0.05 is 2,what is the 95% confidence interval for the mean difference
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What is the rationale for calculating eta-squared following a nonsignificant statistical test?
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If the sample sizes in the two groups are each greater than _____ and roughly comparable,then the independent groups t test is robust to rather severe departures of the _____ assumption.
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The mean of a sampling distribution of the difference between two independent means is always equal to the difference between the population means.
(True/False)
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As the alpha level becomes larger,the power of a statistical test ____.
(Multiple Choice)
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What factors influence the robustness of the independent groups t test?
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The set of all t values more extreme than the critical values constitutes a(n)_____ result or more formally,the _____ region.
(Multiple Choice)
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Which of the following is NOT one of the steps of hypothesis testing used when comparing two independent means?
(Multiple Choice)
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A physical therapist is interested in whether people with different bone structures will be affected differently by her new therapy program.She randomly chooses two groups of patients based on bone type: small-boned frame (XS)and large-boned frame (XL).Patients all had similar injuries.She measures the number of days each person takes to progress to a predetermined point.Here is the data:
What is the null hypothesis?
(Multiple Choice)
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The Independent groups t-test assumes all of the following except_____.
(Multiple Choice)
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The standard error of the difference becomes smaller as sample sizes _____ and the variability of the populations_____.
(Multiple Choice)
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What assumption is made so that the pooled variance estimate can be substituted for the population variances within the standard error of the differences formula?
(Multiple Choice)
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If we reject the null hypothesis and conclude that a relationship exists between the independent and dependent variables,it is meaningless to ask how strong the relationship is.
(True/False)
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By pooling the variance estimates from the two populations,we increase the _____ on which the estimate of ó2 is based and thereby obtain a better estimate.
(Multiple Choice)
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The independent groups t test is not robust to any violation of the normality and homogeneity of variance assumptions.
(True/False)
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Whereas the sum of squares total reflects the total amount of variability in the dependent variable,the sum of squares error reflects the amount of variability that remains before the effects of the dependent variable have been removed.
(True/False)
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