STA 291, Section 001-006, Spring 2010, Prof. Zhou Formulas …mai/sta291/Formulasheet2.pdf ·  ·...

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confidence level 90% 95% 99% z α/2 1.645 1.96 2.575 STA 291, Section 001-006, Spring 2010, Prof. Zhou Formulas for Exam 2 Sample size n necessary for margin of error B when estimating a population . . . . . . mean: n = σ 2 · z B 2 . . . proportion: n p · (1 - ˆ p) · z B 2 Large sample confidence interval for the population proportion ˆ p ± z · ˆ p · (1 - ˆ p) n ; assume np > 10 and n(1 - p) > 10 Confidence interval for the population mean, μ, when σ is . . . . . . known: ¯ X ± z · σ n . . . unknown: ¯ X ± t · s n df = n - 1 z -Score for an individual observation z = x - μ σ x = μ + z · σ Sample mean ¯ X ¯ X = n i=1 x i n = x 1 + x 2 + ··· + x n n Sample variance s 2 s 2 = n i=1 (x i - ¯ X ) 2 n - 1 = (x 1 - ¯ X ) 2 +(x 2 - ¯ X ) 2 + ··· +(x n - ¯ X ) 2 n - 1 Sample standard deviation s s = sample variance If n observations are ordered in ascending order, median is the n+1 2 th observation. Population mean μ Population variance σ 2 Population standard deviation σ

Transcript of STA 291, Section 001-006, Spring 2010, Prof. Zhou Formulas …mai/sta291/Formulasheet2.pdf ·  ·...

Page 1: STA 291, Section 001-006, Spring 2010, Prof. Zhou Formulas …mai/sta291/Formulasheet2.pdf ·  · 2010-03-23STA 291, Section 001-006, Spring 2010, Prof. Zhou Formulas for Exam 2

confidence level 90% 95% 99%

zα/2 1.645 1.96 2.575

STA 291, Section 001-006, Spring 2010, Prof. ZhouFormulas for Exam 2

• Sample size n necessary for margin of error B when estimating a population . . .

. . .mean: n = σ2 ·( z

B

)2. . . proportion: n = p̂ · (1− p̂) ·

( z

B

)2

• Large sample confidence interval for the population proportion

p̂± z ·√

p̂ · (1− p̂)√n

; assume np > 10 and n(1− p) > 10

• Confidence interval for the population mean, µ, when σ is . . .

. . . known: X̄ ± z · σ√n

. . . unknown: X̄ ± t · s√n

df = n− 1

• z-Score for an individual observation

z =x− µ

σx = µ + z · σ

• Sample mean X̄

X̄ =

n∑i=1

xi

n=

x1 + x2 + · · ·+ xn

n

• Sample variance s2

s2 =

n∑i=1

(xi − X̄)2

n− 1=

(x1 − X̄)2 + (x2 − X̄)2 + · · ·+ (xn − X̄)2

n− 1

• Sample standard deviation s

s =√

sample variance

• If n observations are ordered in ascending order, median is the n+12 th observation.

• Population mean µ

• Population variance σ2

• Population standard deviation σ