Unit 6 Stats

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6 Terms

1
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one sample t interval for μ

-confidence level, define μ in context

-check for random, 10%, normality

-x̄ ± ts/√n

2
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one sample t test for μ

-alpha, define μ in context, Ho: μ=#, Ha: >, ≠, < #, df: n-1,

-random, 10%, normality

-t=(x̄-μ)/(s/√n)

- p value=p(tdf><#)

-draw model (tdf)

3
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2 sample t-interval for μ1-μ2

-μ1=…,μ2=…, CL

-10%, normality, random(for each independent sample)

-(x̄1-x̄2)±t√(s²/n)+(s²/n)

4
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matched pairs t-interval

-μd…., d=_

-random, 10%, normality(for the differences)

-(x̄/d)±t(Sd/√nd)

5
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matched pairs t-test

-μd.., d=_, alpha, df= n-1, Ho:μd=o, Ha:μd=><≠ 0

-random, 10%, normality

-t=(x̄d-μd)/(sd/√nd)

6
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how to check normality

given population is normal, CLT, graph raw data