STAT 200 Chapter Notes - Chapter 24: Null Model, Unimodality, Confidence Interval

• School: UBC
• Department: Statistics
• Course: STAT 200
• Professor: Eugenia Yu

Document Summary

+ 2 n2: se when isn"t known: se( 1- 2) = +s2 n2: for sampling distribution for difference in means of 2 independent populations to be. Independent, 2. check normality conditions (i. e. clt conditions) Finding ci for the difference in means of 2 independent populations: determine if independent or dependent samples a. Independent if individuals are to be in a second sample. : the individuals selected for 1 sample does not dictate which i. If 2 samples have different sample sizes, they have to be independent: dependent/paired samples if determine the individuals to be included in the second sample. There is a paired structure b/w the 2 samples. Enough sample size for: t-model when sigma is unknown, and for standard. Normal model when sigma is known (clt: 2 samples must be independent of each other, when is unknown, use se ( 1- 2, use t model c. Degrees of freedom: min(n1-1, n2-1: critical value t*df, confidence interval: two sample t-interval.