Bayesian statistics has emerged as a powerful methodology for making decisions from data in the applied sciences. Bayesian brings a new way of thinking to statistics, in how it deals with probability, ...

Catalog : MATH.2830 Introduction to Statistics (Formerly 92.283) Id: 008302 Credits Min: 3 Credits Max: 3 Description An introduction to descriptive statistics, graphing and data analysis, probability ...

This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...

The Certificate in Applied Statistics has been developed for Michigan Tech students in STEM disciplines who want to broaden their marketability by adding data analysis to their skillset, and working ...

This is an introductory course on statistics, with examples to demonstrate its applications in business and economics.

INFO-610 Introduction to Statistics 3 Credits This course introduces students to statistics and quantitative information. The course surveys probability theory, hypothesis testing, descriptive ...

STAT 4520 - Introduction to Mathematical Statistics STAT 4520 - Introduction to Mathematical Statistics Examines point and confidence interval estimation. Principles of maximum likelihood, sufficiency ...

Introduction to Statistics This course is the starting point for learning about statistical analysis in clinical and public health research. Attendees will learn the key concepts from statisticians ...

HAR6035: Introduction to Statistics and Critical Appraisal This campus-based module is led by Stephen Walters. It runs in the Autumn semester and is worth 15 credits.

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.