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Mar 28, 2024
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MA 2410 - Statistics for AS4 lecture hours 0 lab hours 4 credits Course Description The course is designed to expose actuarial science majors to the statistical tools needed to make decisions based on the computed probability of occurrence. Both descriptive and inferential statistics will be considered. (prereq: sophomore standing in AS or consent of the instructor) Course Learning Outcomes Upon successful completion of this course, the student will be able to:
- Know which probability distribution applies to a given statistical situation
- Know how to perform a complete hypothesis test
- Know how to correctly calculate and interpret a p-value
- Recognize the similarities between the various hypothesis tests and the formulas used by these tests
- Be able to construct appropriate confidence intervals for various statistical situations
- Recognize the complementary nature of hypothesis testing and the construction of confidence intervals
- Perform analysis of variance when appropriate and interpret the results
- Know how to perform simple linear regression and understand how the formulas used were derived
Prerequisites by Topic
- Algebra
- Differential and Integral Calculus
Course Topics
- Four major probability distributions used in hypothesis testing: Normal, Student-t, Chi-Squared, F
- Review binomial distribution (to use in hypothesis testing)
- One-sample hypothesis testing
- Two-sample hypothesis testing
- Analysis of Variance
- Time Series/Forecasting
- Nonparametric Statistics
- Simple Linear Regression and Correlation/Hypotheses
- Multiple Linear Regression
Coordinator Dr. Ron Jorgensen
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