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

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