Exam 10: The t Test for Two Independent Samples
Exam 1: Introduction to Statistics.83 Questions
Exam 2: Frequency Distributions.83 Questions
Exam 3: Central Tendency.88 Questions
Exam 4: Variability.85 Questions
Exam 5: z-Scores: Location of Scores and Standardized Distributions.86 Questions
Exam 6: Probability.84 Questions
Exam 7: Probability and Samples: The Distribution of Sample Means.84 Questions
Exam 8: Introduction to Hypothesis Testing.84 Questions
Exam 9: Introduction to the t Statistic85 Questions
Exam 10: The t Test for Two Independent Samples84 Questions
Exam 11: The t Test for Two Related Samples85 Questions
Exam 12: Introduction to Analysis of Variance84 Questions
Exam 13: Repeated-Measures and Two-Factor Analysis of Variance85 Questions
Exam 14: Correlation and Regression.85 Questions
Exam 15: The Chi-Square Statistic: Tests for Goodness of Fit and Independence84 Questions
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An independent-measures research study uses a total of 18 participants to compare two treatment conditions.If the results are used to construct a 90% confidence interval for the population mean difference,then the t values will be ±1.746.
(True/False)
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If both samples have the same number of scores (n),then the independent-measures t statistic will have df = 2n - 2.
(True/False)
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A research study compares the mean weight for a sample of n = 36 participants before they begin a 6-week diet and their mean weight at the end of the diet.This is an example of an independent-measures design.
(True/False)
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Two samples each have n = 4 scores.If the first sample has a variance of 10 and the second sample has a variance of 6,what is the estimated standard error for the sample mean difference?
(Multiple Choice)
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An independent-measures study produces sample means of M₁ = 20 and M₂ = 17.If both samples have n = 18 scores and Cohen's d = 0.50,what is the value for the pooled variance?
(Multiple Choice)
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The homogeneity of variance assumption states that the two population variances are equal.
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The narrower the confidence interval,the more precise it is.With this in mind,which combination of factors will produce the most precise estimate of the difference between two population means?
(Multiple Choice)
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An independent-measures study comparing two treatment conditions with n = 6 in each sample produces t = 4.00.What is the value of r² for this study?
(Multiple Choice)
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An independent-measures study produces t(10)= 3.00,p < .05.For this study,if effect size is measured with r²,then r² = 3/13.
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If an independent-measures t statistic has df = 20,then a total of 18 individuals participated in the research study.
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An independent-measures study uses n = 15 participants in each group to compare two treatment conditions.What is the df value for the t statistic for this study?
(Multiple Choice)
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Two samples,each with n = 5 scores,have a pooled variance of 40.What is the estimated standard error for the sample mean difference?
(Multiple Choice)
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Two samples,each with n = 4 scores,have a pooled variance of 32.The estimated standard error for the sample mean difference is √8.
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An independent-measures study with n = 6 in each sample produces a sample mean difference of 4 points and a pooled variance of 12.What is the value for the t statistic?
(Multiple Choice)
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Which of the following confidence intervals also indicates a significant difference between treatments with α = .05?
(Multiple Choice)
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When pooling variances,the resulting value will be closer to the variance for the sample with the smaller number of scores.
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Two samples,each with n = 16 scores,produce an estimated standard error of 4 points and a t statistic of t = 2.00.What is the sample mean difference?
(Multiple Choice)
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One sample has n = 7 scores with SS = 40,and a second sample has n = 5 scores with SS = 80.The pooled variance for these two samples is 120/10 = 12.
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An independent-measures research study uses a total of 40 participants to compare two treatment conditions.What is the df value for the t statistic for this study?
(Multiple Choice)
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Which combination of factors is most likely to produce a significant value for an independent-measures t statistic?
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