An introduction to descriptive statistics, graphing and data analysis, probability laws, discrete and continuous probability distributions, correlation and regression, inferential statistics. No ...

Inferential statistics are beyond the scope of this short introductory course, and again you will need to discuss with your supervisor the appropriateness of using them and how to go about doing so.

Some of you may see learning statistics as a distraction and something to tolerate while you concentrate on the subject matter of your programme of study. If so, I hope this 30 minute introductory ...

Since there are no prerequisites, it is fine to take this as a freshman as well. Descriptive Statistics introductory probability inferential statistics: random variables, discrete and continuous ...

Not open to industrial engineering degree candidates. This course is a major requirement for MaDE and a basic engineering course in the area of “probability, statistics, and quality control.” Students ...

Examines point and confidence interval estimation. Principles of maximum likelihood, sufficiency, and completeness: tests of simple and composite hypotheses, linear models, and multiple regression ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

EC400 is an introduction to MSc level concepts in mathematics and statistics, and an undergraduate level understanding is assumed. EC400 is not intended as an introduction for students with little or ...

EC400 is an introduction to MSc level concepts in mathematics and statistics, for which an undergraduate level understanding is assumed. EC400 is not intended as an introduction for students with ...