STAT 401 provides researchers with a general overview of statistics and is intended for graduate students not majoring in the mathematical sciences. This overview prepares students for higher level STAT courses such as graphical techniques (408), methods of data analysis (411/511), non-parametric methods (431), and sampling (446). We will cover chapters 1-7 in the text. Topics include: the basics of graphical techniques and sampling, transformations, sampling distributions, one-way ANOVA, multiple comparisons, contingency table analysis, and simple linear regression.

After completing this course, students will be able to: describe a data set using appropriate numerical and graphical measures; evaluate the validity of a statistical analysis; determine the scope of inference that can be made in a study; understand and implement the fundamental techniques of statistical inference; and communicate results of a statistical analysis effectively in writing.

Course Information

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Data Sets

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