Exam 12: Testing for Significance in Two Groups: the T-Test
Exam 1: Introduction to Statistics 24 Questions
Exam 2: Levels of Measurement25 Questions
Exam 3: Graphical Statistics25 Questions
Exam 4: Measures of Central Tendency25 Questions
Exam 5: Measures of Dispersion25 Questions
Exam 6: Curves and Distributions22 Questions
Exam 7: Frequency Distributions22 Questions
Exam 8: Elementary Relationships: Crosstabulation Tables20 Questions
Exam 9: Hypotheses and Sampling Distributions21 Questions
Exam 10: Statistical Significance22 Questions
Exam 11: Testing for Significance: the Chi-Square Test22 Questions
Exam 12: Testing for Significance in Two Groups: the T-Test21 Questions
Exam 13: Testing for Significance in Multiple Groups: the Analysis of Variance Statistic20 Questions
Exam 14: The Concept of Association19 Questions
Exam 15: Testing for Association: Phi19 Questions
Exam 16: Testing for Association: Pearsons R and Regression21 Questions
Exam 17: Doing Real Research: Elementary Multivariate Relationships19 Questions
Exam 18: Box Plots3 Questions
Exam 19: Skewness and Kurtosis3 Questions
Exam 20: Ordinal-Level Tests of Significance2 Questions
Exam 21: Multiple Comparison Tests3 Questions
Exam 22: Nominal Level Tests of Association4 Questions
Exam 23: Ordinal Level Tests of Association4 Questions
Exam 24: Addendum Probability3 Questions
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Typical data used with the t-test are those from survey and secondary datasets.
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True
There are two forms of variation that a t-test can measure.The type of variation used to test your hypothesis is called
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(Multiple Choice)
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D
If a variable is measured in an experiment at time 1 (pretest)and again at time 2 (posttest),the most appropriate t-test would be
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(Multiple Choice)
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Correct Answer:
C
A t-test can compare as many as four groups at a time without losing power.
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If the probability associated with a t-test is larger than your alpha level,what do you do?
(Multiple Choice)
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If the F-ratio test (Levene's test)produces a significant result,which of the choices below would be correct?
(Multiple Choice)
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Because of its stringent assumptions,the t-test is not very commonly used in criminal justice or criminological research.
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When used with small samples,the t-test produces a conservative estimate of differences.
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The t-test is properly used with which level of measurement below?
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Assuming all assumptions are met,which version below is the most powerful (accurate)t-test?
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If you have two groups with equal variances,which of the t-tests below would you use?
(Multiple Choice)
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If you propose a one-tailed hypothesis,you must examine the group means before proceeding.
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The best alternative to a independent-samples t-test if assumptions are violated is the Mann-Whitney U-test.
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A two-tailed hypothesis is the most appropriate for a t-test because of the difficulty of determining direction in the variances.
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The t-test is designed to examine the number of cases in two groups to determine which one is the group with the most cases.
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The t-test has some stringent assumptions,if the data reasonably depart from those assumptions
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The t-distribution for smaller sample sizes is slightly different from a normal distribution because:
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