hypothesis testing
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6 Terms
1
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single measurement to a population
Z: (x-mu)/stdev
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P: 2\* norm.dist(-abs(Z),0,1,1)
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P: 2\* norm.dist(-abs(Z),0,1,1)
2
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sample to population, given mu and stdev
Z: (xbar-mu)/(stdev/(sqrt n))
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P: 2\*norm.dist(-abs(Z),0,1,1)
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P: 2\*norm.dist(-abs(Z),0,1,1)
3
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sample to population, given only mu
T: (xbar - mu)/(Sx/(sqrt n))
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\*Sx: sample stdev\*
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P: t.dist.2t(abs(T),df)
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\*Sx: sample stdev\*
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P: t.dist.2t(abs(T),df)
4
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sample to sample, correlated
P: t.test(sample1,sample2, 2, 1)
5
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sample to sample, uncorrelated
P: t.test(sample1,sample2, 2, 2)
6
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many samples
ANOVA