This is a list of all courses offered by the Math Department.  Not all courses are offered each year.  What is provided is a general description of the courses and the prerequisites.  The actual content may vary.

<- Return to Course List

Description

This is an introductory course in statistics teaching basic concepts and techniques and applications of these techniques to different fields.

Prerequisites

1 course with a minimum grade of C- from (STAT400, STAT410).


Level of Rigor

Standard


Sample Textbooks

Probability and Statistics for Engineering and the Sciences, by J. Devore


Applications

Computer Science (artificial Intelligence, pattern recognition, and neural networks)

Philosophy (epistemology, inference)

Economics (econometrics)

Business (optimal resource-allocation, routing and scheduling, inventory or portfolio management,  forecasting of macroeconomic and market conditions, statistical methods of quality control,  statistical methods of sampling and auditing)


If you like this course, you might also consider the following courses



Additional Notes

Topics

Refresher mini-course in probability

Basic distributions

Central limit theorem

Law of large numbers

Interval estimation in small and large samples

Hypothesis testing

Basic concepts

Testing for normal population

p-value

Analysis of variance

Models

Single and multifactor analysis

Interaction

Regression and correlation

Least squares method

Inference for regression parameters

Analysis of categorical data

Elements of nonparametric methods