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Apr 03, 2026
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STAT 320 - Introduction to Probability Theory I
Units: 3
The theory of probability with applications to science and engineering. Selected topics may include: sample spaces; random variables; joint, marginal, conditional distributions; sampling and sampling distributions, expectations; probability distributions (binomial, Poisson, normal, etc.); and moment generating functions.
Prerequisites: MATH 130.
Possible Instructional Methods: On-ground.
Grading: A-F grading only.
Course Typically Offered: Fall & Spring
Student Learning Outcomes - Upon successful completion of this course students will be able to:
- use basic rules of probability theory and their applications to probability modeling.
- derive and understand the theory of point and interval estimation and hypothesis testing.
- formulate and model practical problems for solutions using these statistical methodologies.
- produce relevant computer output using statistical software and interpret results as appropriate.
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