Examination of the properties behind the basic concepts of probability and statistics, designed to teach you ways to investigate the relationships between various characteristics of data. college credit, thomas edison, tecep, asba, straighterline, ace, alternative credit project
Introductory survey of quantitative methods (QM), or the application of statistics in the workplace. Examines techniques for gathering, analyzing, and interpreting data in any number of fields—from anthropology to hedge fund management. college credit, nccrs, thomas edison, asba
This course will cover the topics of statistical calculations and graphical representations of data; probability; random variables and binomial distribution; the bell curve; statistical experimentation; data analysis; and linear regression and chi-square analysis.