Jan 28, 2022  
2021-22 Catalog 
    
2021-22 Catalog
Add to Favorites (opens a new window)

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 or placement by assessment.

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 fit of these models. 
- Choose appropriate calculations for a confidence interval/hypothesis test: do so based on theory and simulation (including bootstrapping). 
- Use technological tools such as MATLAB or R to manage and analyze data sets in various sizes and formats. 
- Interpret statistical results and clearly state the conclusion in reports and presentations with close attention to details.


Find out when this course is offered




Add to Favorites (opens a new window)