PSTAT 109 Lecture 7: Lecture 7 Two Sample Inference

• School: UCSB
• Department: Statistics & Applied Probability
• Course: PSTAT 109
• Professor: chavez

Document Summary

Intervals independent populations 1, 2 known (z) independent populations 1, 2 unknown and different. 3. independent populations = 1 = 2 unknown (t, pooled) Equal std dev equal variance unknown but equal gives: sp (std dev pooled) and df (degrees of freedom: paired samples 1, 2 unknown, paired = dependent (same people, industry, etc. , n = n1 = n2. *note: x 1 = 1 - if 1 - 2 = applies to all. *note: df, z, p value independent populations 1, 2 unknown and different. *note: df, t, p value independent populations = 1 = 2 unknown (t, pooled) Equal std dev equal variance unknown but equal .