MAT 152 Statistical Methods I

Lecture: 3 Lab: 2 Clinic: 0 Credits: 4

This course provides a project-based approach to introductory statistics with an emphasis on using real-world data and statistical literacy. Topics include descriptive statistics, correlation and regression, basic probability, discrete and continuous probability distributions, confidence intervals and hypothesis testing. Upon completion, students should be able to use appropriate technology to describe important characteristics of a data set, draw inferences about a population from sample data, and interpret and communicate results.

This course has been approved for transfer under the CAA as a general education course in Mathematics. This is a Universal General Education Transfer Component (UGETC) course.

Pre-requisite(s): Take All One Set: Set 1: DMA-010, DMA-020, DMA-030 and DRE-098 Set 2: DMA-010, DMA-020, DMA-030 and ENG 002 Set 3: DMA-010, DMA-020, DMA-030 and BSP-4002 Set 4: DMA-025 and DRE-098 Set 5: DMA-025 and ENG 002 Set 6: DMA-025 and BSP-4002 Set 7: MAT 003 and DRE-098 Set 8: MAT 003 and ENG 002 Set 9: MAT 003 and BSP-4002 Set 10: BSP-4003 and DRE-098 Set 11: BSP-4003 and ENG 002 Set 12: BSP-4003 and BSP-4002
Co-requisite(s): MAT 052 if needed.
Course is typically offered in Fall, Spring, and Summer.
Course has transfer restrictions - 20 years

Student Learning Outcomes (SLOs)
At the completion of the course, the students should be able to do the following:

Organize, display, calculate, and interpret descriptive statistics.
Apply basic rules of probability.
Identify and apply appropriate probability distributions.
Perform regression analysis.
Analyze sample data to draw inferences about a population parameter.
Communicate results through a variety of media.