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

The course will touch on the law of large numbers and the central limit theorem. Selected topics may be included such as the Poisson process, Linear Models, Markov chains, Bayesian methods. An ...

The purpose of the course is to introduce the statistical methods ... REQUIRED TEXT: Moore, McCabe & Craig, “Introduction to the Practice of Statistics”, 8th Edition, Freeman, 2014.

To support your professional development, Dragonfly offers a free self-paced Introduction to Statistics course that all students and alumni can self-enroll in. The course is open year round and you ...

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.

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 ...

Among the courses used to satisfy the student’s major requirement, a maximum of two courses can count towards the minor. Only one introductory statistics course may count toward the minor. Normally, ...

Non-MRes students wishing to study MRes-level courses must achieve an overall grade of 70% with no one subject exam less than 60%. EC400 is an introduction to MSc level concepts in mathematics and ...

College of Science students will complement critical thinking and analytical abilities gained within their major area of study by completing a two-course sequence and related ... in the areas of ...

An introduction to statistics in an agricultural context, including the presentation, analysis and interpretation of quantitative data. The fourth number of the course code shows the level of the ...

Introduction to appropriate spatial statistics techniques including kernel smoothing, kriging, point processes and spatially correlated areal data. The fourth number of the course code shows the level ...