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MAT 134 Introduction to Probability and Statistics

Students must fulfill the prerequisite or be placed into the course. Not open to students who have completed MAT 117 or MAT 234.

Course Description: Introduction to the study of random processes; finite sample spaces, the role of assumptions in the formulation of probability models, probability models based on equally-likely outcomes, independent events, and conditional probability. Bayes' theorem, random variables, mathematical expectation; statistical applications of probability, introduction to sampling theory, confidence intervals and hypothesis testing.

Course Rotation: Fall, Spring and Summer.

Credits

3 credits

Prerequisite

MAT 099 Minimum Grade of P or MAT 100 Minimum Grade of D or MAT 103 Minimum Grade of D or MAT 130 Minimum Grade of D or Math Placement 30