QMS 202 Study Guide - Midterm Guide: Statistic, Null Hypothesis, Standard Deviation

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 202
• Professor: Clare Chua

Document Summary

Is distribution of x normal: is x is normal distribution in question, can i apply central limit theorem (clt)? n . 30, yes, if n 30, no: assume that x is normally distributed. Calculator > dist -> norm -> invn to nd z ( #) Df = n-1 -> dist -> t -> invt. Sx/(cid:3) (cid:1) t = x - . Variable refers to x = life of item. Parameter refers to = population life of item. Determine sample size -> mean n = z2 2 e2. Determine sample size -> proportion n = z2 (1- ) e2 n = population x = average. / this)is)not)less)than). 10,)so)it)is)not)in)the)tail(s),)so)we)do)not)reject)the)null) were)200)sampled,)so)x)=). 21)x)200)=)42)) is)always)not)equal)) hypothesis)) p-value > = do not reject ho p-value < = reject ho. : 2 tailed test (area = /2) - difference. >: right 1 tailed test (area = ) - greater than. z > 2-s (zstat)