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.

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

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

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 ...

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 ...

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 ...

*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.

This minor provides students with an opportunity to extend their understanding of and ability to apply statistical methods beyond the basic techniques presented in introductory courses ... experience ...

Our Graduate Certificate in Applied Statistics online program is designed for busy professionals ... This foundational, robust course provides an introduction to the design, conduct, and analysis of ...

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 ...