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MTH 304
Probability and Statistics I
Topics include: Elements of Probability Theory. Discrete Probability Distribution. (Hyper-geometric, Binomial, Poisson). Normal Distribution and its applications. Lognormal Distribution, Multivariate Distributions, Covariance and Correlation, Moment Generating Functions, Central limit theorem and applications. A statistics computer package will be used in this course.
Weekly Contact: Lab: 1 hr. Lecture: 3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1
Mentioned in the Following Calendar Pages
*List may not include courses that are on a common table shared between programs.
- Addenda and Errata
- CPS 721 - Artificial Intelligence I
- Computer Science Professionally-Related Table I
- ECN 129 - Statistics for Economics I
- Financial Mathematics
- MTH 404 - Probability and Statistics II
- MTH 707 - Modelling and Searching Networks
- Mathematics and its Applications
- PCS 335 - Thermodynamics and Statistical Physics
- PCS 352 - Nuclear Physics/Radiation Protection
