STAT 200

spring 2026

All Classes

Statistical Analysis

Credit: 3 hours.

Survey of statistical concepts, data analysis, designed and observational studies and statistical models. Statistical computing using a statistical package such as R or a spreadsheet. Topics to be covered include data summary and visualization, study design, elementary probability, categorical data, comparative experiments, multiple linear regression, analysis of variance, statistical inferences and model diagnostics. May be taken as a first statistics course for quantitatively oriented students, or as a second course to follow a basic concepts course.

Credit is not given for both STAT 200 and STAT 212.

This course satisfies the General Education Criteria in Spring 2026 for:

Quantitative Reasoning I

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- STAT 100
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- STAT 361
- STAT 385
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- STAT 551
- STAT 575
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- STAT 593

Detail	Status		CRN	Type	Section	Time	Day	Location	Instructor