This is an introductory course in statistics. Topics that we will cover include elementary statistical measures, statistical distributions, statistical inference, hypothesis testing and linear ...
Examines point and confidence interval estimation. Principles of maximum likelihood, sufficiency, and completeness: tests of simple and composite hypotheses, linear models, and multiple regression ...
Let’s start with a definition of Applied Statistics: Applied Statistics is the root of data analysis. The practice of applied statistics involves analyzing data to help define and determine an ...
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