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Exam 23: Dependent Samples T-Test

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Exam 1: The Empirical Approach to Knowledge10 Questionsadd course
Exam 2: Types of Empirical Research8 Questionsadd course
Exam 3: Scales of Measurement9 Questionsadd course
Exam 4: Descriptive, Correlational, and Inferential Statistics5 Questionsadd course
Exam 5: Introduction to Sampling9 Questionsadd course
Exam 6: Variations on Random Sampling6 Questionsadd course
Exam 7: Sample Size9 Questionsadd course
Exam 8: Standard Error of the Mean7 Questionsadd course
Exam 9: Frequencies, Percentages, and Proportions7 Questionsadd course
Exam 10: Shapes of Distributions7 Questionsadd course
Exam 11: The Mean: An Average7 Questionsadd course
Exam 12: Mean, Median, and Mode12 Questionsadd course
Exam 13: Range and Interquartile Range6 Questionsadd course
Exam 14: Standard Deviation6 Questionsadd course
Exam 15: Z-Score5 Questionsadd course
Exam 16: Correlation7 Questionsadd course
Exam 17: Pearson-R6 Questionsadd course
Exam 18: Scattergram6 Questionsadd course
Exam 19: Introduction to Hypothesis Testing11 Questionsadd course
Exam 20: Decisions About the Null Hypothesis6 Questionsadd course
Exam 21: Introduction to the T-Test7 Questionsadd course
Exam 22: Independent Samples T-Test6 Questionsadd course
Exam 23: Dependent Samples T-Test6 Questionsadd course
Exam 24: One Sample T-Test5 Questionsadd course
Exam 25: Reports of the Results of T-Tests5 Questionsadd course
Exam 26: One-Way Anova7 Questionsadd course
Exam 27: Two-Way Anova5 Questionsadd course
Exam 28: Chi-Square Test5 Questionsadd course
Exam 29: Limitations of Significance Testing5 Questionsadd course
Exam 30: Effect Size8 Questionsadd course
Exam 31: Coefficient of Determination5 Questionsadd course
Exam 32: Multiple Correlation5 Questionsadd course
Exam 33: Simple and Multiple Regression5 Questionsadd course
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the matching or paired participants in the depended groups has already built in a similarity between the groups or repeated data points making it possible to increase error.

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If the results indicate that a paired samples analysis produced a significant t value [t (19) = 9..967, p < .001] what is the likelihood that the null hypothesis is true?

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Which if the following is a disadvantage of Dependent Samples t Test?

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Which of the following is NOT true about Dependent Samples t Test?

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Question 4

If the probability that a particular t value have occurred by chance is .000 in a Dependent Samples t Test, what can you conclude?

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Question 5

What is particular about the results from a significant nondirectional hypothesis test?

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