mth466 | undergraduate

Probability And Statistics I

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This is the first of two courses surveying probability and statistical distribution theory with emphasis on practical applications to risk management. The prerequisite is a standard three semester sequence of calculus courses. The first course covers general probability, univariate discrete probability distributions, and the application of these concepts to insurance policy features such as deductibles and benefit limits.

This undergraduate-level course is 5 weeks To enroll, speak with an Enrollment Representative.

Course details:

Credits: 3
Continuing education units: XX
Professional development units: XX
Duration: 5 weeks

topic title goes here

    Combinatorial Probability

    • Demonstrate understanding of sampling and distributions.
    • Use special (binomial and multinomial theorems) applications of combinatorial probability.
    • Apply probability rules to determine possible outcomes.
    • Perform permutations and combinations.

    Rules of Probability

    • Use set theory, including Venn diagrams and DeMorgan's Law, in probability applications.
    • Solve problems with conditional probability using tree diagrams.
    • Determine and apply independence of events.
    • Apply Baye's Theorem and credibility theory to real world problems.

    Discrete Random Variables

    • Apply discrete (uniform, binomial, geometric, negative binomial, hyper-geometric, Poisson) random probability distributions to real world examples.
    • Compare sample data against a discrete random distribution.

    Applications of Probability

    • Collect data from databasers.
    • Graph the real world sample.
    • Analyze the real world sample.
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