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Fall 2021
Dec 04,2022
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Information Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course.

This is a calculus-based statistics course. This course will explore the concepts of statistical inference. Topics include: sampling distribution, confidence intervals, point estimation, sufficient statistics, maximum likelihood method, hypothesis testing, Neyman-Pearson lemma, linear and multiple regression, categorical statistics, nonparametric statistics, and ANOVA.
0.000 TO 4.000 Credit hours
0.000 TO 4.000 Lecture hours

Levels: Undergraduate
Schedule Types: Hybrid, Lecture, Online Course

Mathematics Department

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