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Two-Sample Procedures with means
The goal of these inference procedures is to compare the responses to two treatments or to compare the characteristics of two populations.
We have INDEPENDENT samples from each treatment or population
We will be interested in the difference of means, so we will use this to find standard error.
Population mean(x-y) = Population mean(x) - population mean(y)
standard deviation(x-y) = ā(standard dev x)Ā² + (standard dev y)Ā²
Assumptions:
Mean
Have two SRSās from the populations or two randomly assigned treatment groups
Samples are independent
Both distributions are approximately normally
Have large sample sizes
Graph BOTH sets of data
Mean
Since in real-life, we will NOT know both Ļās, we will do t-procedures.
Proportions assumptions
Two, independent SRSās from populations ( or randomly assigned treatments)
Populations at least 10n
Normal approximation for both
n2p2 ā„ 10
n2(1-p2) ā„ 10
n1p1 ā„ 10
n1(1-p1) ā„ 10