SSCI 3910U Lecture Notes - Lecture 3: Analysis Of Variance, Interval Ratio, Test Statistic
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Looks at means between only two groups. Limitation of t-test it can only assess two groups. Iv dichotomous (2 groups) (grouping variable in spss) Dv interval-ratio (continuous) (test variable in spss) Adequate sample size (under umbrella of inferential stats: first inference based statistics we do. Want to generalize from a sample to a population: assumption of variances le(cid:448)ene"s test fo(cid:396) e(cid:395)uality of (cid:448)a(cid:396)iance. Tells us whether variances are equal or not equal (f-stat) When standard deviations are similar equal. Rule cannot ha(cid:448)e t(cid:449)o (cid:862)nots(cid:863) togethe(cid:396) If the probability of f-stat is greater than 0. 05 than not equal. If probability is less than 0. 05 equal: test statistic for the t-test is the t-stat. Tells us whether or not average differences are statistically significant. If the probability is less than 0. 05 we have significance, reject h0. If the probability is greater than 0. 05 we have not significant outcome and we fail to reject.
