Equivalency Details

This course is primarily for business, science, liberal arts, and education majors. Topics studied include descriptive measures for empirical data, theory of probability, probability distributions, sampling distributions of statistics from large and small samples, estimation theory, hypothesis testing, correlation, and regression.

This course provides the student with an opportunity to learn and apply mathematical concepts. Applications include problems from various fields. Sources of data, sampling, collection methods and processing of statistical data, frequency distributions, measures of central tendency and dispersion, probability theory, confidence intervals, tests for significance, hypothesis testing, correlation, and regression analysis will be covered. Emphasis will be placed on concepts, definitions, and analysis. Most calculations will be done through MyStatLab with StatCrunch while a few will be done with formulas and a scientific calculator. Prerequisite(s): Any 100 level math course OR higher or by placement test. 3 credits (3 lecture, 0 lab)