QTM 100 Study Guide - Midterm Guide: P21, Type I And Type Ii Errors, Contingency Table

• School: Emory University
• Department: Quantitative Theory & Methods
• Course: QTM 100
• Professor: Prof.Gong

Document Summary

1-sample t-test: one quantitative variable (comparing a mean to given/known value) Hypothesis test: ho: = 0 & ha: 0. Paired t-test: 2 paired quantitative variables 1 variable of the difference created. Assumptions: randomization/variables = dependent & observations = independent/normal (underlying normal or n>30) 2-sample t-test: one quantitative variable based on 2 groups of one categorical variable. Assumptions: randomization/groups & observations = independent/normal (underlying normal or n>30) Confidence interval: (x 1 - x 2) tscore * se(x 1 - x 2) Unequal variance: se(x 1 - x 2) = df = min(n1-1, n2-1) Equal variance: sp = se(x 1 - x 2) = = df = n1 + n2 - 2. 1-sample z-test: one categorical variable (comparing a proportion to given/known value) Assumptions: randomization/independent/normal (hypothesis test: npo>10 & n(1-po)>10, ci: np>10 & Hypothesis test: ho: p1 = p0 & ha: p1 p0 n(p-1)>10. Confidence interval: p z score * p(1- p)/n.