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STAT 200   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 for:
Quantitative Reasoning I

Engineering, College of

...Mechanics Required Engineering courses, 200-level and above...Statistics department under the STAT rubric Engineering (Eng...

Media, College of ADV 150 , JOUR 200 , MACS 100 , MACS...102 and ECON 103 , STAT 100 and two...