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psych 5-ucsb-fall 2011-lecture-chapter10

psych 5-ucsb-fall 2011-lecture-chapter10 - • Review...

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Unformatted text preview: • Review: Statistical Power • Hypothesis testing with the t-test • A new type of t • http://www.stat.sc.edu/%7eogden/javahtml/ power/power.html z = M ¡ μ ¢ M t = M ¡ μ s M z = M ¡ μ ¢ 2 n t = M ¡ μ s 2 n Sample variance Population variance testStatistic = Difference between data and hypothesis standard distance expected by chance ¡ M = ¡ n = ¡ 2 n sample variance = s 2 = SS n ¡ 1 = SS df M s = s 2 n Estimated standard error t-test population variance not known z-test population variance known 1.State the hypothesis (null and alternative) 2.Set the decision criterion • Locate the critical t for the speci f ed alpha using the appropriate df and table B.2 3.Collect sample & compute statistic • compute mean, sample variance, and t-statistic 4.Compare statistic to criterion and make a decision • apply same logic as with a z-test (if obtained t falls in critical region, then reject the null) • 36 workers are switched to a compressed schedule (3 consecutive 13-hour shifts). They rate their preference on a scale from 1-10 (0=prefer standard, 5=no preference, 10= prefer compressed). 1. State hypothesis • H : μ =5 • H 1 : μ ¡ 5 2. Set Criterion • ¡ =0.05, two-tailed • df=n-1=36-1=35 • t critical (35)=±2.031 •...
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psych 5-ucsb-fall 2011-lecture-chapter10 - • Review...

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