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Published byCierra Willden Modified over 2 years ago

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Hypothesis testing –Revisited A method for deciding whether the sample that you are looking at has been changed by some type of treatment (Independent Variable IV) Looking at how likely it is that a sample like the one that you have would be selected at random (without the benefit of treatment).

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Sampling Distribution Mean values of all possible samples. Frequency How many samples xx

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Sample means 81 85 Z scores -2.56 0 H1H1 H1H1 p =.0052.0052 <.025

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Sample means 81 85 Z scores -2.56 0 H1H1 H1H1 Z = -1.96-2.56 is more extreme than -1.96

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Sample means 50 52 Z scores 0 1.58 H1H1 H1H1 p =.0571.0571 >.025

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Sample means 50 52 Z scores 0 1.58 H1H1 H1H1 1.58 is less extreme than 1.96 Z = 1.96

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Ch 10 Comparing Two Proportions Target Goal: I can determine the significance of a two sample proportion. 10.1b h.w: pg 623: 15, 17, 21, 23.

Ch 10 Comparing Two Proportions Target Goal: I can determine the significance of a two sample proportion. 10.1b h.w: pg 623: 15, 17, 21, 23.

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