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# 3600pp13 - Accept the null but the null is false...

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Chapter 13: Understanding Research Results - Statistical Inference Inferential Statistics Mean difference = true difference Probability levels Hypothesis testing Hypothesis Testing Statement regarding how two variables are related Null Hypothesis: μ 0 = μ 1 Research Hypothesis: μ 0 μ 1 Statistical Tests t-test and F-test t-test is appropriate when you have 1 IV with 2 levels Ratio Numerator: Mean difference Denominator: Random error Degrees of Freedom Divisor used to compute the estimated population variance - (k – 1) One-tailed Test aka Directional Test Two-tailed Test aka Non-directional Test

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F-test An extension of the t-test Used when you have more than 1 IV with 2 groups Relationship between t and F: Type I and Type II Errors Reject the null, but the null is true p value is the probability of making a Type I error
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Unformatted text preview: Accept the null, but the null is false probability of making a Type II error is related to power Type III and Type IV Errors Type III Error Getting the direction wrong Type IV Error Improper interpretation of an interaction What Does “ p < .05” Mean? Low probability differences were due to random error p = .05 does not mean that 5 times out of 100 you would get a different result. p(H:E) p value tells us “p(E:H)” What is the probability of obtaining a dead person (D) given that this person was hanged(H)? p(D:H) This is what a p value tells us What is the probability that a person has been hanged given that the person is dead? p(H:D) Number of Research Participants Cohen (1988) Wahlstein (1991): 90% power, ES=.20...
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3600pp13 - Accept the null but the null is false...

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