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Introduction to Statistics and Data Analysis

by University of Michigan

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Course Description

Statistics is the science that turns data into information and information into knowledge. This class covers applied statistical methodology from an analysis-of-data viewpoint. Topics covered include frequency distributions; measures of location; mean, median, mode; measures of dispersion; variance; graphic presentation; elementary probability; populations and samples; sampling distributions; one sample univariate inference problems, and two sample problems; categorical data; regression and correlation; and analysis of variance. Use of computers in data analysis is also explored. 

Visit open.umich.edu to explore additional University of Michigan courses and resources.

Course image adapted from teegardin under a Creative Commons license: BY-SA.
Introduction to Statistics and Data Analysis
View In iTunes

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