This adaptive courseware provides an introduction to statistics for learners majoring in fields other than Math and Engineering. One of the primary objectives of this course is to help learners ...

Sample size indicates how many people there are in the sample – in this example it may be 35 (indicating 35 different hearing BSL learners). Descriptive statistics are reported in the Results section.

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 ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

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 ...

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

This campus-based module is led by Stephen Walters. It runs in the Autumn semester and is worth 15 credits. This module introduces students to the basic concepts and techniques of medical statistics, ...

Rainer Winkelmann, University of Zurich Review of the first edition: 'This book provides an excellent introduction to Bayesian econometrics and statistics with many references to the recent literature ...