You are now in the main content area
MTH 304
Probability and Statistics I
Topics include: Brief Introduction to Statistics. Description of Numerical Data. Elements of Probability Theory. Discrete Probability Distribution. (Hyper-geometric, Binomial, Poisson). Normal Distribution and its applications. Sampling Distributions. The t-distribution and the X2 distribution. Confidence Interval and Hypothesis Testing concerning the mean, variance and proportion of a single population. Confidence Interval and Hypothesis Testing concerning the mean and proportion of two populations, the F-distribution. SAS 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.
- 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
