2025-2026 Undergraduate Catalog

MATH 105 Applied Business Statistics

This is an introduction to descriptive and inferential statistics, intended for students pursuing a degree in the Department of Business, Accounting, and Economics. Topics covered include: collecting, organizing and describing data; probability, random variables, and probability distributions; sampling and normal distributions; estimation; hypothesis testing; categorical data and goodness-of-fit tests; and linear regression. 

Credits

3

Prerequisite

Two years of high school algebra or college equivalent

Offered

Fall

Student Learning Outcomes

  1. Construct and interpret a graph,
  2. Determine the area under a normal curve for a given interval,
  3. Compute the probability of an event,
  4. State and explain the Central Limit Theorem,
  5. Estimate a population mean and proportion,
  6. State and test hypotheses for means and proportions,
  7. Compute correlation and regression equations and explain their meaning.