Peter W Johnson
IND E 315
Application of probability theory and statistics to engineering problems, distribution theory and discussion of particular distributions of interest in engineering, statistical estimation and data analysis. Illustrative statistical applications may include quality control, linear regression, and analysis of engineering data sets. Prerequisite: either MATH 136, MATH 307, or AMATH 351. Offered: AWSpS.
In this course students will learn the basic fundamentals of probability and statistics. This course is designed to develop students probabilistic and statistical intuition.
Student learning goals
Identify various probability distributions
Calculate basic statistical measures
Conduct statistical analyses using either Excel or Minitab
Apply statistical methods to a real data set
General method of instruction
Lectures covering general concepts and problem examples.
Math 136, Math 307 or AMATH 131
Class assignments and grading
6 short homework assignments will be completed in addition students will complete a small project
Homework 20% Midterm Exam 20% Project 15% Final 30% Participation 5%