ECON 261 - Principles of Statistics I

(3 units)

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.

Maximum units a student may earn: 3

Prerequisite(s): IS 101; MATH 124 or MATH 126, MATH 126E, MATH 126EE or higher.

Grading Basis: Graded
Units of Lecture: 3
Offered: Every Fall, Spring, and Summer

Student Learning Outcomes
Upon completion of this course, students will be able to:
1. correctly identify both qualitative and quantitative variables and organize data used in business applications.
2. compute and interpret the basic statistical measures of central tendency, dispersion; describe the importance of these measures in statistical analysis.
3. explain the concept of probability and probability distributions.
4. identify sampling distributions and apply them to confidence interval estimation for both quantitative and qualitative variables.
5. perform hypothesis testing for the population mean and proportion.
6. build and run linear regression models to test for significance and measure the goodness-of-fit.

Click here for course scheduling information. | Check course textbook information