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Course Criteria
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3.00 Credits
This course is intended to provide just-in-time algebra reviews necessary to complete statistical analysis for various health and social science related problems. Topics include: frequency distributions, percentiles, measures of central tendency and variability, normal distribution, populations, samples, confidence intervals, and hypothesis tests.
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3.00 Credits
This course emphasizes the identification of appropriate statistical methods as well as the proper interpretation and presentation of results. Topics include: descriptive statistics, probability concepts, the normal probability distribution, confidence intervals, hypothesis tests, and simple/multiple linear regression. Statistical software is used.
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3.00 Credits
This course introduces the basic concepts of statistics through intuitive approaches and stresses applications. Topics include: descriptive measures, regression, elementary probability, the normal distribution, sampling, the Central Limit Theorem, hypothesis testing, estimation, and statistical software packages.
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3.00 Credits
This course focuses on the use of descriptive statistics, probability, introductory statistical inference, and data analysis in an applied setting. Students will be required to use appropriate software packages and calculators with statistical functionality in the course.
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3.00 Credits
In this course, students study the basic concepts of mathematical probability, emphasizing applications to solving practical problems. Topics include random variables, probability laws, expected value, probability mass functions, probability densities, sampling distributions, techniques of estimation, and an introduction to hypothesis testing.
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3.00 Credits
This course in regression analysis begins with simple linear regression, associated one-way analysis of variance tables, and diagnostic measures. It continues with more complicated regression models including general regression models, multiple regression, generalized linear models and a brief introduction to nonlinear estimation.
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3.00 Credits
This course introduces students to the career of actuarial science. Actuaries will be invited to give guest lectures on their careers. This course will prepare students to take the first professional actuarial test. This exam covers insurance applications that utilize calculus and statistics.
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3.00 Credits
This course will focus on a specific topic in Statistics suitable for advanced students. The content will vary from semester to semester according to interests of the students and faculty. Students may repeat this course up to three times for different topics.
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3.00 Credits
This course emphasizes statistical inference and presents basic concepts through intuitive approaches. It stresses applications and includes sampling variance, nonparametric tests of hypotheses, multiple and partial correlation, multiple regression analysis, analysis of variance, and experimental design.
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3.00 Credits
This course provides a further study of statistical inference. It re-introduces content from an introductory statistics course and develops the content in theory further. It adds an in-depth look at several statistical methods from introductory courses and introduces Bayes estimation and testing.
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