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 2021

Check course availability in Spring 2022

Check course availability in First Summer 2022

Check course availability in Second Summer 2022




Print-Friendly Page (opens a new window)