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.
Prerequisite
Two years of high school algebra or college equivalent
Offered
Fall
Student Learning Outcomes
- Construct and interpret a graph,
- Determine the area under a normal curve for a given interval,
- Compute the probability of an event,
- State and explain the Central Limit Theorem,
- Estimate a population mean and proportion,
- State and test hypotheses for means and proportions,
- Compute correlation and regression equations and explain their meaning.