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Unformatted text preview: Two Sample Tests When do use independent When groups are inherently different Examples: Normal controls vs. patient Men vs. Women When participation in one condition contaminates measurement of other condition Examples: Conjunction fallacy (Earthquakes) Reasoninh problems Two Sample Tests When do use independent When groups are inherently different Examples: Normal controls vs. patient Men vs. Women When participation in one condition contaminates measurement of other condition Examples: Conjunction fallacy (Earthquakes) Reasoninh problems Twotailed: H 0 : μ 1 = μ 2 H : μ 1 μ 2 Onetailed: H : μ 1 > μ 2 H : μ 1 <= μ 2 H : μ 1 < μ 2 H : μ 1 >= μ 2 Two Sample Ttest Independent Means 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 Two Sample Tests Which distributions to use? Related (dependent) (Observed Value) – (Expected value under Null Hypothesis) __________________________________________________ Standard error of null hypothesis of mean differences Unrelated (independent) (Observed Value) – (Expected value under Null Hypothesis) __________________________________________________ Standard error of null hypothesis (comparison) distribution = ???? Independent ttest Null hypothesis distribution...
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 Spring '10
 SHAMS
 Normal Distribution, Standard Deviation, Variance, 50%, 23.2%

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