Exam 10: Probability and Sampling Distributions
Exam 1: Why Study Statistics12 Questions
Exam 2: Use of Statistics in Evidence-Based Practice21 Questions
Exam 3: Review of Key Research Methodology Concepts and Terms22 Questions
Exam 4: Frequency Distributions21 Questions
Exam 5: Graphs and Charts15 Questions
Exam 6: Measures of Central Tendency19 Questions
Exam 7: Measures of Dispersion20 Questions
Exam 8: Types of Distributions18 Questions
Exam 9: Z-Scores, Percentiles and Effect Size15 Questions
Exam 10: Probability and Sampling Distributions24 Questions
Exam 11: Hypothesis Testing and Statistical Significance20 Questions
Exam 12: Type I and Type Ii Errors23 Questions
Exam 13: Interpreting the Strength and Importance of Relationships27 Questions
Exam 14: The T-Test25 Questions
Exam 15: Analysis of Variance19 Questions
Exam 16: Cross Tabulation and Chi-Square22 Questions
Exam 17: Correlation23 Questions
Exam 18: Regression Analysis26 Questions
Exam 19: Applications to Single-System Evaluation Designs20 Questions
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Theoretical sampling distributions only rarely approximate normal curves.
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Suppose a client satisfaction survey is conducted of all of the service recipients in Agency A.If all of the recipients participate in the survey, and if the survey seeks to describe client satisfaction in Agency A, only, with no intent to generalize about service recipients elsewhere, then for this study the survey participants comprise a:
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The probability that two particular outcomes will occur is determined by:
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The probability of a particular outcome occurring is equal to:
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