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- 1sampling distribution of (X-BAR1 - X-BAR2) tells how sampling error affects (X-BAR1 - X-BAR2)
- 2to assess if a result is stat signilook at the size of the p-value
- 3to assess if a result is econ signilook at size of the difference in spending the point estimate of the difference
- 4inference about comparing means(μ1 - μ2)
how do uo concentrations compare
how do parents beliefs compare with kids scores - 5hypothesis testing and ci estimationindependent examples (unequal variances)
independent samples (equal variances)
if n1 = n2, then SE [X-BAR1 -X-BAR2] is same whether or not you pool
paired samples - 6what parameters we are interested in?mean conc. of UO at μ1 vs μ2
- 7whats basis for inference re: (μ1 - μ2)(X-BAR1 - X-BAR2)
- 8ci estimation or hypothesis testingCI: we wish to measure how much two locations differ
HT: yes/no - 9HI and CI est w independent samples
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- Fichas sobre Sin título, creado por ellie shisko el 27/03/2022.
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- ellie shisko
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