lecture 13 Hypothesis Testing(pt.3)

# lecture 13 Hypothesis Testing(pt.3) - Hypothesis tests are...

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Shortcomings of the Hypothesis Test Pt. 1 Hypothesis tests are vague, arbitrary, and heavy-handed Some signiﬁcant ﬁndings reﬂect greater rarity than others Findings that narrowly miss signiﬁcance may still be informative 1

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Transparent Rarity By simplifying results down to a binary characterization of statistical (non) signiﬁcance, hypothesis tests needlessly sacriﬁce information about the true rarity of the sample outcome relative to H 0 p- Values - indicate the probability, given a particular hypothesis test and a true H 0 , of having observed a result that was as extreme or more extreme than the value obtained for the sample 2
Determining p-Values for z Tests 1) Carry out the hypothesis test 2) Look up z to ﬁnd the proportion in Column C 3a) If the hypotheses are directional, the proportion in Column C is your p -Value 3b) If the hypotheses are nondirectional, the p -Value is double the proportion in Column C 3 If rounding of z is necessary to ﬁnd the value in the z table, round z to be closer to zero

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lecture 13 Hypothesis Testing(pt.3) - Hypothesis tests are...

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