MATH 3334
Introduction to Mathematical Statistics
Winter 2026
Topics
- objective of this course is to gain a sound understanding of the fundamental concepts of statistics
Readings
- Book 1 Introduction to Probability and Statistics, 4th Edition, by J. S. Milton and Jesse C. Arnold Paper copies of this
Winter 2020
Topics
- add or delete sections to the list. Topics include sampling distributions, point and interval estimations
- hypothesis testing and inferences on population parameters such as population means, population
- variances, population proportions, etc., simple linear regression and correlation, multiple linear regression
- models, analysis of variance, factorial experiments, categorical data, the contingency table test, etc
- and :30 PM - 07:00 PM in RB-1021
- get help to finish your assignments. If there is no student showing up during the first 5 minutes, this Q’s
Readings
- Book 1 Introduction to Probability and Statistics, 4th Edition, by J. S. Milton and Jesse C. Arnold Book 2 Student’s Solution Manual for Book 1 Credit Weight: 0.5 Prerequisite: MATH-3332
Sources
- Course catalogue ↗2026–2027
- syllabus ↗Winter 2026
- Course source ↗
- syllabus ↗Winter 2020
- Course source ↗