MATH/IENG 382 Introduction to Probability and Statistics 2

Course Description

(3-0) 3 credits. Prerequisite: MATH 381. Review of general principles of statistical inference, linear regression and correlation, multiple linear regression, ANOVA, and statistical design of experiments. This course is cross-listed with IENG 382.

Couse Learning Outcomes

A student who successfully completes this course should be able to:

  1. Understand the principle of least-squares and determine the least-squares line for a bivariate dataset.
  2. Build, using statistical software, a regression model expressing a response variable in terms of one or more predictor variables by using appropriate numerical and graphical diagnostics.
  3. Carry out a variety of two- and several-sample hypothesis tests and reasonably confirm any necessary underlying assumptions. These tests include, but are not limited to, the following:
    • Test of the equality of two proportions (independent samples)
    • Test of the equality of two means (independent or dependent samples )
    • Test of the equality of several means (independent samples)
  4. Learn, and correctly use, fundamental probability and statistics language associated with building regression models and carrying out hypothesis tests.