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Advanced placement statistics formulas probability and distributions, Sampling Distributions and Inferential Statistics, and t distribution critical values
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i
2
i x i
i i x y
y
x
X
i X
i
2
x
n − x
X
x − 1
2
*Standard deviation is a measurement of variability from the theoretical population. Standard error is the estimate of the standard deviation. If the standard deviation of the statistic is assumed to be known, then the standard deviation should be used instead of the standard error.
p ( 1 − ) σ (^) p ˆ =
μ (^) p ˆ = p p^ s p ˆ^ (^1 −^ )
μ (^) p ˆ − p ˆ = p 1 − 1 2
p p^ (^1 − σ 1 p 1^ )^ p 2 (^ )
2
1
( ) (^1 − p ˆ^2 )
2
s = p (^) ( p
p ˆ 1 (^) − p ˆ 2 c c )^
1 2
X
σ σ =
μ =μ − X (^) 1 − X 2 1
μ 2 σ^ σ
2 2
2
1
2 2
2
σ σ (^) b = , σ x
( )
2
σ = i
b
( ˆ^ )
2
( )
2
b
z
Table B t distribution critical values
Confidence level C
Table entry for p and C is the point t * with probability p lying above it and probability C lying