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Basic Statistics Formulas, Cheat Sheet of Statistics

Formulas on Population Measures, Sampling, Probability, Sample Proportions, Chi-Square Statistic, Linear Regression

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Uploaded on 04/27/2021

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Download Basic Statistics Formulas and more Cheat Sheet Statistics in PDF only on Docsity! Basic Statistics Formulas Population Measures Mean Āµ = 1 n āˆ‘ xi (1) Variance Ļƒ2 = 1 n āˆ‘ (xi āˆ’ x)2 (2) Standard Deviation Ļƒ = āˆš 1 n āˆ‘ (xi āˆ’ x)2 (3) Sampling Sample mean x = 1 n āˆ‘ xi (4) Sample variance s2x = 1 nāˆ’ 1 āˆ‘ (xi āˆ’ x)2 (5) Std. Deviation sx = āˆš 1 nāˆ’ 1 āˆ‘ (xi āˆ’ x)2 (6) z-score z = xāˆ’ Āµ Ļƒ (7) Correlation r = 1 nāˆ’ 1 nāˆ‘ i=1 ( (xi āˆ’ x) sx )( (yi āˆ’ y) sy ) (8) Linear Regression Line yĢ‚ = a+ bx (9) b = r sy sx , a = y āˆ’ bx (10) s = āˆšāˆšāˆšāˆš 1 nāˆ’ 2 nāˆ‘ i=1 (yi āˆ’ yĢ‚)2 (11) SEb = sāˆšāˆšāˆšāˆš nāˆ‘ i=1 (xi āˆ’ x)2 (12) To test H0 : b = 0, use t = b SEb (13) CI = bĀ± tāˆ—SEb (14) Probability P (A or B) = P (A) + P (B)āˆ’ P (A and B) (15) P (not A) = 1āˆ’ P (A) (16) P (A and B) = P (A)P (B) (independent) (17) P (B|A) = P (A and B)/P (A) (18) 0! = 1;n! = 1Ɨ 2Ɨ 3 Ā· Ā· Ā· Ɨ (nāˆ’ 1)Ɨ n (19)( n k ) = n! k!(nāˆ’ k)! (20) Binomial Distribution : P (X = k) = ( n k ) pk(1āˆ’ p)nāˆ’k (21) Āµ = np, Ļƒ = āˆš np(1āˆ’ p) (22) One-Sample z-statistic To test H0 : Āµ = Āµ0 usez = z āˆ’ Āµ0 Ļƒ/ āˆš n (23) Confidence Interval for Āµ = xĀ± zāˆ— Ļƒāˆš n (24) Margin of Error ME = zāˆ— Ļƒāˆš n (25) Minimum sample size n ā‰„ [ zāˆ—Ļƒ ME ]2 (26) One-Sample t-statistic SEM = sxāˆš n , t = xāˆ’ Āµ sx/ āˆš n (27) Confidence Interval = xĀ± tāˆ— sxāˆš n (28) Two-Sample t-statistic t = x1 āˆ’ x2āˆš s21 n1 + s22 n2 (29) Conf. Interval = (x1 āˆ’ x2)Ā± tāˆ— āˆš s21 n1 + s22 n2 (30) Sample Proportions ĀµpĢ‚ = p, ĻƒpĢ‚ = āˆš p(1āˆ’ p) n (31) Conf. Int. = pĢ‚Ā± zāˆ—(SE) (32) SE = āˆš pĢ‚(1āˆ’ pĢ‚) n (33) sample size n > [ zāˆ— ME ]2 pāˆ—(1āˆ’ pāˆ—) (34) To test H0 : p = p0, use z = pĢ‚āˆ’ p0āˆš p0(1āˆ’ p0) n (35) Two-Sample Proportions SE = āˆš pĢ‚1(1āˆ’ pĢ‚1) n1 + pĢ‚2(1āˆ’ pĢ‚2) n2 (36) CI = (pĢ‚1 āˆ’ pĢ‚2)Ā± zāˆ—(SE) (37) To test H0 : p1 = p2, use (38) z = pĢ‚1 āˆ’ pĢ‚2āˆš pĢ‚(1āˆ’ pĢ‚) ( 1 n1 + 1 n2 ) (39) pĢ‚ = X1 +X2 n1 + n2 , Xi = successes (40) Chi-Square Statistic Ļ‡2 = nāˆ‘ i=1 (oi āˆ’ ei)2 ei (41) oi = observed, ei = expected Central Limit Theorem sx ā†’ Ļƒāˆš n as nā†’āˆž (42) 2013 B.E. Shapiro. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License (BY-NC-SA 3.0). Last revised May 9, 2016.
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