ECON 2500 Lecture Notes - Lecture 42: Randomness, Sample Space, Simple Random Sample

• School: York University
• Department: Economics
• Course: ECON 2500
• Professor: Xianghong Li

Document Summary

1. 1 data (key characteristics of a data set) 1. 2 displaying distributions with graphs (simple stemplots and histograms, examining distributions) 1. 2 describing distributions with numbers (center and spread measures) 1. 4 density curves and normal distributions (density curves, normal distributions, standardizing and unstandardizing normal observations, using the standard normal table) 3. 1: sources of data- sample surveys and experiments. 4. 2 probability models (sample space, probability rules assigning probabilities, independence and the multiplication rule) 4. 5 general probability rules (general addition rules, two way tables in section 2. 6, conditional probability, general multiplication rules, bayes s rule) 4. 3 random variables (discrete random variables, continuous random variables)