Overview
Description
Data, descriptive statistics, central tendency and dispersion measures, probability and probability distributions, sampling and sampling distributions, interval estimation, hypothesis testing, and regression analysis. Emphasis on data analysis and critical thinking.
Requirements
Prerequisites
- higher
IS 101MATH 124MATH 126MATH 126EMATH 126EE
Original catalog text
Prerequisites
Prerequisite(s): IS 101; MATH 124 or MATH 126, MATH 126E, MATH 126EE or higher.
Units
Lecture3
Catalog Details
Offering
Offered: Every Fall, Spring, and Summer
Terms
fall, spring, summer
Attributes
Standard
Learning Outcomes
- correctly identify both qualitative and quantitative variables and organize data used in business applications.
- compute and interpret the basic statistical measures of central tendency, dispersion; describe the importance of these measures in statistical analysis.
- explain the concept of probability and probability distributions.
- identify sampling distributions and apply them to confidence interval estimation for both quantitative and qualitative variables.
- perform hypothesis testing for the population mean and proportion.
- build and run linear regression models to test for significance and measure the goodness-of-fit.