LFS 252 Study Guide - Midterm Guide: Conditional Probability, Statistical Parameter, Simple Random Sample
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1 ok 2 good 3 dislike -> results: 1,2,3,2,3,2,1 -> still categorical//categorical data in two- way tables : counts and frequency//understanding causality: designing experiments1. Double blind study ( ideal, but not necessary for the experiment) : when the person collecting the data doesn"t know which treatments the participates are taking. Symmetric: same amount of values in both right and left hand sides, number of mounds: unimodal(1), bimodal( 2 bumps) multimodal( more than 2) Outliers:reasons: indicate error in data no error e. g. one person is high salaried since he is owner but his employee is low waged-> even its outlier it is still the fact not error. Visualizing categorical data:1. bar charts: like histogram, but horizontal represent categorical data//could be different order//have gaps between bars//the width of bars is meaningless, but the widths of each categories have to be the same2. pie charts: Anything for small data sets, especially <5. /// regression analysis :exam the relationship ( association) between two variable data used scatterplots:
