statistics cheat sheet

# statistics cheat sheet - Greater than less than at least at...

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CI = PT. +- ME PT. +- (CV)(SE) LB = x_bar – ME UB = x_bar +ME pt.est. avg = x_bar pt.est. prop = x/n = p_hat SE x_bar = sd/sqrt n SE prop = √[p_hat – (1 – p_hat)]/ n Z cv = invnorm( ) t cv = MATH|SOLVER|LUDA Suppose we want an average GPA, find the sample size: CI = 95%, given ME = 0.05, SD = .3 n= (z cv 2 – sd 2 )/ ME 2 n = (1.96 2 - .3 2 )/.05 2 n = 138.2976 n = 139 Comparing means of 2 independent samples: CV = t n1 + n2 – 2 SE = √[SE 1 +SE 2 ] Comparing 2 Dependant samples: Fill out L1 and L2; L3 = 2 nd L1-L2 STAT|TESTS|TINTERVAL|DATA Hypothesis: look for keywords: is there evidence that the true avg is _______ from ___

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Unformatted text preview: Greater than, less than, at least, at most, significant different. Greater than (more): H o : mu<=mu o H A : mu>mu o Less than: H o : mu>=mu o HA: mu<mu o Sig. difference: H o : mu =mu o H A : mu =/ mu o Less than: Lower tailed Greater than: upper tailed Significant difference: 2 tailed 2 sample test: pt. est. = x1 –x2, degrees of freedom: (n1 + n2) – 2 STAT|TEST|2SAMPTTEST Reject? Is p< sig.level = yes reject = there IS evidence t = [pt.est. - H o ]/SE H o = 0 sig level = 1 – confidence level...
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statistics cheat sheet - Greater than less than at least at...

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