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Course Descriptions

STAT 200. Introductory Statistics. (1)

A study of the acquisition, presentation, analysis, and interpretation of data. Topics include: descriptive statistics and statistical graphics, experiments vs. observational studies, elementary probability, random variables and distributions, sampling distributions of statistics, confidence intervals, hypothesis testing for means and proportions, correlation, linear regression, and an introduction to ANOVA. QSR; Prerequisite(s): sophomore standing and satisfaction of the Mathematics Proficiency requirement; QL; Staff;

STAT 222. Linear Models and Statistical Software. (1)

This course develops further the ideas and techniques that were introduced in STAT 200 relative to regression modeling and experimental design, understood as instances of a matrix linear model. In addition, the student becomes familiar with at least one leading statistical package for performing the intensive calculations necessary to analyze data. Topics include linear, non-linear, and multiple regression, model-building with both quantitative and qualitative variables, model-checking, logistic regression, experimental design principles, ANOVA for one-, two-, and multiple factor experiments, and multiple comparisons. Prerequisite(s): STAT 200, MATH 145 or 151, and MATH 143 or 210; Cross Listing: MATH 222; Offered every year; O. Forsberg;

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Printed on Wednesday, September 20, 2017

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