STA 2000 Lecture Notes - Lecture 1: Regression Analysis, Pie Chart, Interquartile Range
28 Sep 2016
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Types of variables: categorical: marital status, political party, eye color (typically yes or no questions) Data is collected from either a population or a sample. Population: all the items or individuals about what you want to draw conclusions. Sample: a portion of the population of items or individuals. Summary table: tallies the frequencies of items in a set of categories so that you can see differences between categories 1 categorical value. Frequency and percentage table for races in workforce. If you have you have two or more summary variables, then it"s a contingency table: Row totals: percentage total from row itself: 170|20|190 = 89%|11%|100% Column totals: same way except taking percentage based on rows itself. Shows you range, minimum, maximum, may id unusual observations. Interval width: (7. 50-2. 50)/10 (size of how many categories desired: typically between 5-10) = . 5 this means to make it a 50 cent interval. Bar chart: x axis (main reasons) and y axis (percentage) order doesn"t matter.
