Course Detail Information

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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.

3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture, Tutorial, Online Course

Mathematics Department

Course Attributes:
Area of Knowledge V, Foundation Course, Anyls Hum, Social & Ntrl Pheon, Inquiry and Exploration

Must be enrolled in one of the following Levels:     

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