ENGR 305 - Engineering Statistics Credits: 3
Calculus-based examination of descriptive and inferential statistics. Topics covered include population and sample data analysis, discrete random variables, continuous random variables, frequency distributions, probability, hypothesis testing, analysis of variance, regression, and correlation. Computer applications for problem solution are required.
USI Core 39: Ways of Knowing-Scientific and Mathematical Inquiry.
Prerequisite(s): ENGR 107 and MATH 235 .
Lecture-Lab (ex: 3-1 means 3 hrs lecture and 1 hr lab): (3-0) Term(s) Offered: Fall, Spring
Check course availability in Fall 2024
Check course availability in Spring 2025
Check course availability in First Summer 2025
Check course availability in Second Summer 2025
Add to Portfolio (opens a new window)
|