Course Detail

Units:

0.0
Course Components:

Laboratory

Lecture

Enrollment Information

Course Attribute:

University Connected Learning

Description

Topics covered: how to collect, organize, analyze, display, and interpret data; deviation, variance and standard deviation, Empirical rule; basic concepts of probability and counting, conditional probability, multiplication and addition rule; probability distributions, binomial distributions; standard normal (bell-shaped) distributions; correlation and linear regression. Recommended prerequisite is either MATH 980 or MATH 1010 with a C or better, an Accuplacer AAF score of at least 235, an ACT math score of at least 22, or an SAT math score of at least 550.