MATH 270 - Probability and Statistical Models

5 CR

The fundamentals of probability-based statistics with a focus on data-based problem solving. Introduces probability axioms and principles of randomness to model and evaluate samples from discrete, continuous, univariate, and multivariate distributions. Varying statistical techniques (with use of software such as MATLAB or R) will be included.

Recommended: MATH 153.
Prerequisite(s): MATH 152 with a B- or better.

Course Outcomes
- Model real world problems by an appropriate probability distribution. - Calculate probabilities using appropriate distributions, theorems, diagrams, or software tools. - Formulate, fit, and apply appropriate statistical models. Assess and improve the

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