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Analysis of Variance Exam QUESTIONS AND CORRECT VERIFIED ANSWERS |ALREADY GRADED A+|
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Analysis of Variance Exam QUESTIONS AND CORRECT VERIFIED ANSWERS |ALREADY GRADED A+| importance of inferential stats tests -calculate probability that our results are due to sampling error (or chance) -to see if we can reject null/results support research hypothesis p-value The probability of results of the experiment being attributed to chance. -if p α: reject null -if p α: fail to reject null t-test parametric test of statistical significance -used to compare 2 group means -most commonly used in evaluating programs and practice when comparing mean outcome scores of groups assigned to 2 different treatment conditions -t-test assumed null (meaning no differ
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Analysis of Variance Exam QUESTIONS AND CORRECT VERIFIED ANSWERS |ALREADY GRADED A+|
