STAT 111 Lecture Notes - Lecture 3: Statistical Parameter, Summary Statistics, Descriptive Statistics
8 Sep 2017
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Document Summary
In order to make sense of data, we need ways to summarize and visualize: type of summary statistics and visualization methods depend on type of variable(s) being analyzed (categorical or quantitative) Proportion: proportion in category found by, proportion = # in category total sample size, proportion for a, sample is called a statistic, noted as p (p-hat, population is called parameter, noted as p. 9% of all people in the us are left-handed: population parameter, p= 0. 09. In data collected from all stat classes, 14. 9% of respondents said they were left-handed: sample statistic, p = 0. 149. Properties and percentages are often used interchangeably. 2 categorical variables to look at relationship between 2 categorical variables we need to organize data in a way that makes it easy to examine: 2-way table, does not matter which variable is in columns or rows.
