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 ...

Discusses interval estimation, hypothesis testing, analysis of variance, applied regression theory, correlation analysis, and other selected topics. Pre-Req: ECON 2110 Statistics I or 92.183 Intro to ...

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 ...

*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.

MR. UDNY YULE'S “Introduction” was the first book on statistics that came into my hands. This was about 1916. I liked it then and learned a lot from it. I like it even more now in its eleventh ...