STAT2053 - Probability and Statistics

2021-2022 Spring

[ Topics| Course Material| Course Schedule| Resources | Announcements ]

Topics

Introduction to Probability, Basic Definitions, Axioms of Probability and Combinatorial Concept; Describing Data With Graphs; Describing Data With Numerical Measures, Describing Bivariate Data; Conditional Probability and Independence; Probability and Probability Distributions; Discrete Random Variables and Probability Distributions; Continuous Random Variables and Probability Distributions; The Normal Probability Distribution; Jointly Distributed Random Variables; Expected Values, Covariance and Correlation; Sampling Distributions; Large-Sample Estimation; Large-Sample Tests of Hypotheses; Inference From Small Samples, The Analysis of Variance (ANOVA).

Course Material

Textbooks

Essential  Text: 

(1) Mendenhall, Beaver, Beaver, Introduction to Probability and Statistics, 14th Ed., Brooks/Cole, Cengage Learning, 2013

Recommended:  

(2) Walpole, Myers, Myers, Ye, Essentials of Probability and Statistics for Engineers and Scientists, Pearson Education, 2013

(3) Sheldon Ross, A First Course in Probability, 9th Ed., Pearson, 2013/2014

Announcements

[2022-03-01]         A brief guide on preparing homework deliverables with R.

[2022-03-01]         R statistical tool will be used in lectures and assignments. Please download the recent version from R website.

[2022-03-01]         Quizzes are scheduled on Monday lectures.

[2022-03-01]         Complete data set for the exercises can be downloaded here (domain restricted access).

[2022-03-01]         Attendance is required at all class meetings. For excused absences, the student must provide an explanation to the instructor and supply supporting evidence.

Course Schedule

• Lectures: Tuesday 15:00-16:50 (M2-Z11) | Friday 16:00-16:50 (M2-Z11)

Resources

Applets (at textbook's website)

R - Statistical Tool 

A Short Guide for R