| 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 Comprehensive Articulation Agreement as a general education course in Mathematics (Quantitative). |
| Competencies |
·Student Learning Outcomes
·1. Organize, display, calculate, and interpret descriptive statistics
·2. Apply basic rules of probability
·3. Identify and apply appropriate probability distributions
·4. Perform regression analysis
·5. Analyze sample data to draw inferences about a population parameter
·6. Communicate results through a variety of media |
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