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 ...

The Statistics Workshop will post solutions to the quizes immediately after the quizes are completed. Textbook: ``Introduction to Probability and Statistics, Second Edition'' by Tim Swartz. The custom ...

Let’s start with a definition of Applied Statistics: Applied Statistics is the root of data analysis. The practice of applied statistics involves analyzing data to help define and determine an ...

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 ...

*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.