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conditions of z-procedure on proportions
1. random
2. 10% Rule
3. Large Enough: np>10 ; n(1-p)>10
*Summary Statement
conditions of 2 sample z-procedure on proportions
1. random assignment/independence
2. Large Enough: n1p1>10 ; n1(1-p1)>10 AND n2p2>10 ; n2(1-p2)>10
conditions of t-procedure on means
1. random sample
2. approx. normal
*given
*n>30
*graph (normal probability)
3. σ is unknown
conditions of 2 sample t-procedure on means
1. samples independently selected
2. each sample is random
3. Large Enough: n1>30 ; n2>30
conditions of match pairs t-procedure
1. samples are paired
2. Large Enough: nd>30
3. random samples
confidence interval for z-procedure on proportions
p±z*√p(1-P)/n
confidence interval for 2 sample z-procedure on proportions
p1-p2±z*(√(p1(1-P)/n2)+(p2(1-p2)/n2))
confidence interval for t-procedure on means
x̅±t*(s/√n)
confidence interval for 2 sample t-procedure on means
(x̅1-x̅2)±t*√(s1²/n1)+(s2²/n2)
confidence interval for match pairs t-procedure
x̅d±t*(sd/√n)
z-score for z-procedure on proportions
Z=(p̂-p)/(√p(1-p)/n)
z-score for 2 sample z-procedure on proportions
Z=(p̂1-p̂2)/(√((p̂1(1-p̂1))/n1)+((p̂2(1-p̂2))/n2)))
t-score for t-procedure on means
t=(x̅-μ)/(s/√n)
t-score for 2 sample t-procedure on means
t=(x̅1-x̅2)/√((s1²/n1)+(s2²/n2))
t-score for match pairs t-procedure
t=(x̅d-μd(*0))/(sd/√n)
hypothesis test z-procedure on proportions
p=,<,>_____
hypothesis test 2 sample z-procedure on proportions
p1=,<,>p2
hypothesis test t-procedure on means
μ=,<,>_____
hypothesis test 2 sample t-procedure on means
μ1=,<,>μ2
hypothesis test match pairs t-procedure
μd=,<,>0