BUEC 232 Lecture Notes - Lecture 10: Total Variation, Confidence Interval, Null Hypothesis

• School: Simon Fraser University
• Department: Business Economics
• Course: BUEC 232
• Professor: all

Document Summary

Tests means of 2 related populations: paired or matched samples, repeated measures (before/after, use difference between paired values: Requirements: both populations are normally distributed or if not normal, use large samples (n>30) The test statistic for d is: t stat. Goal: test a hypothesis or form a confidence interval for the difference between two population proportions, Necessary conditions: n1 1 5 , n1(1- 1) 5 n2 2 5 , n2(1- 2) 5. The point estimate for the difference is p - In the null hypothesis we assume the null hypothesis is true, so we assume 1= 2 and pool the two sample estimates. The pooled estimate for the overall proportion is: 2 where x1 and x2 are the number of items of interest in samples 1 and 2. The f value is the ratio of two sample variances and the f critical values are found on the f table (text e. 5)