PSYC 210 Lecture Notes - Lecture 10: Test Statistic, Independent And Identically Distributed Random Variables, Decision Rule

• School: Simon Fraser University
• Department: Psychology
• Course: PSYC 210
• Professor: Snjezana Huerta

Document Summary

(cid:1) 210 hypothesis test examples correlation t test. We know that they are major consumers of ice cream, and we wonder whether people who purchase ice cream are more (or less) likely to buy pretzels. Buying was measured in terms of the average number of dollars spent per year on that product where both products were available. [xi, yi] x = average $ on ice cream, y = average $ on pretzels (cid:2)ij ~ (cid:2)(0, (cid:3)(cid:2) Assumptions to be tested: bivariate normality of distribution of scores, errors are normally distributed, i. i. d. , with homoscedasticity. Step 3: specify the test statistic and the null distribution. r. R = e(r) = _________ n = sr. Step 4: specify decision rule(s). (cid:4) = _______; ______-tailed test; df = n - 2 = ________ critical value(s): ________________________ *collect data (using random sampling) & conduct thorough descriptive analyses (see p. 2) Step 5: calculate the observed value of the test statistic. rxy.