SOAN 3120 Study Guide - Exploratory Data Analysis, Pie Chart, Standard Deviation

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Data analysis describing data using graphs and numerical summaries. The purpose of exploratory data analysis is to help us see and understand the most important features of a set of data. Part i summary: data, identify the individuals and variables in a set of data, identify each variable as categorical or quantitative. Assess whether the distribution has one or more major peaks: describe the overall pattern by giving numerical measures of center and spread in addition to a verbal description of shape. Interpret z-scores and understand that any normal distribution because the standard normal. 2: make a scatterplot to display the relationship between two quantitative variables measured on the same subjects. Place the explanatory variable on the horizontal scale of the plot: add a categorical variable to the scatterplot by using different plotting symbol or colour, describe the direction, form and strength of the overall pattern of a scatterplot.

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