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Lecture 7 - Hypothesis tests General Form(Observed...

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Hypothesis tests: General Form (Observed Value) – (Expected value under Null Hypothesis) __________________________________________________ Standard error of null hypothesis (comparison) distribution Comparison distributions are used to compute the probability of the obtained sample result under the assumption that the null hypothesis is true. Rejecting the null hypothesis is rejecting the idea that the sample mean came from the null hypothesis ditribution
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( ) – ( μ ) _________________________________ Hypothesis tests: Single sample Z
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( ) – ( μ ) _________________________________ Hypothesis tests: Single sample t S
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( ? ) – (?) _________________________________ (?) Hypothesis tests: Two samples? ? = Depends on type of two-sample (t) test Related scores (dependent) Unrelated scores (independent)
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Two Sample Tests When do use dependent When are scores related? When same person is on both conditions Most common example (pre-post design) When scores are matched on meaningful variable Examples: Steroids and weightlifters GPA and SAT scores
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Two Sample Tests Advantages of dependent Matched scores have less error/variability Related (Observed Value) – (Expected value under Null Hypothesis) __________________________________________________ Standard error of null hypothesis (comparison) distribution Unrelated
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