5 courses with the subject STAT, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
STAT 2020Elements of Statistics3
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.
MATH 1010 or MATH 1020 or MATH 1030 or MATH 1110 or MATH 1210 or MATH 1220 or MATH 1410 or MATH 2320 or MATH 2410 with a C- or better, or ALEKS placement test
STAT 3010Mathematical Probability and Statistics3
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.
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.
STAT 3010 with a C- or better and MATH 3430 with a C- or better
STAT 3990Special Topics in Statistics3
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.
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.
