Exam 9: Testing Means: One-Sample and Two-Independent Sample T Tests
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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When scores are measured in a single group,the sample standard deviation is used as an estimate of the population standard deviation in the effect size formula for estimated Cohen's d.
(True/False)
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A researcher records the crying time (in minutes)of infants given oral administration of sucrose (n = 12)or tap water (n = 16)prior to a heel prick.The mean crying time in the sucrose group was 3.3±2.4 (M±SD)minutes;in the tap water group,it was 7.3±1.6 (M±SD)minutes.If the null hypothesis is that there is no difference in crying time,then what is the decision for this test?
(Multiple Choice)
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When the proportion of variance explained by some treatment is larger than 0.25,we conclude that there is a large effect in the population.
(True/False)
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A one-sample t test will be undefined (denominator = 0)when the same score is recorded for all participants in a study.
(True/False)
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Effect size measures are an estimate of the size of an effect in a population.
(True/False)
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Two researchers (A and B)compute a one-sample t test.For both tests,the standard error is the same,but the mean difference between the sample and value stated in the null hypothesis is smaller for Researcher A.Which test is more likely to result in a decision to reject the null hypothesis?
(Multiple Choice)
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When the difference between two groups is compared,the pooled standard deviation is used as an estimate for the population standard deviation in the effect size formula for estimated Cohen's d.
(True/False)
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Normality,random sampling,and independence are all assumptions for the one-sample t test.
(True/False)
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A researcher reports a significant effect in some population.If he computes both an eta-squared and an omega-squared effect size estimate,then which estimate will be the largest?
(Multiple Choice)
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To compute a one-sample t test,a researcher has to know many values.Which of the following is NOT a value that the researcher must know to compute this test?
(Multiple Choice)
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Eta-squared is computed ______ for the one-sample,and the two-independent sample t tests.
(Multiple Choice)
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A researcher selects a sample of 32 participants who are assigned to participate in a study with one group.What are the degrees of freedom for this test?
(Multiple Choice)
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A researcher reports that mean ratings of liking for some food are 0.8±2.4 (M±SD).If the null hypothesis was that the mean equals 0,then what is the effect size for this test using estimated Cohen's d?
(Multiple Choice)
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A two-independent sample t test is computed when mean differences are compared between two or more groups sampled from a population with an unknown variance.
(True/False)
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A researcher must know the population variance in order to compute a t test.
(True/False)
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A two-independent sample t test is used when the same participants are observed in each of two groups.
(True/False)
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