Exam 12: Type I and Type Ii Errors
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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The p-value resulting from a test of the statistical significance of a finding indicates:
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Every time we opt not to reject the null hypothesis, we inescapably risk making a Type II error.
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