MATH 133 Study Guide - Final Guide: Quartile, Descriptive Statistics, Sample Space

• School: McGill University
• Department: Mathematics & Statistics (Sci)
• Course: MATH 133
• Professor: David Wolfson

Document Summary

Descriptive statistics *summarization: a) measures of centrality: i)sample mean (average), vulnerable. X= 1 xi i=1 n data given, variance"s unit is (data"s unit)2 => , mechanical formula (easier to use but can n+1 xi ( x)2 n i=1. X -s2 and give negative if mistaken) => , empirical rule says if data mount shaped ~68% lie b/e. X +s2 | iii)sample standard deviation, has same unit as data, : (a b)c=ac bc and (a b)c=ac bc | b) kolmogorov axioms i) p(e) 0, for any event | ii) B) | d) different intersections : i) conditional p(a b) = p(a|b)p(b) = p(b|a)p(a) | ii) disjoint p(a. B)= | iii) independant p(a b) = p(a)p(b) || *counting rules, fundamental theorem => | c) in a set ordering n objects, in n! way || *conditional probability: p(b|a)= p(a . B)/p(a), use p(a b), also can use: a)ltp (law of total probability) if wonna find p(a) and marginal given,