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02: Probability and Descriptive and Inferential Statistics UMBC: Fall 2022


USMx_UMBC

About Probability and Descriptive and Inferential Statistics

Step through the process of developing a hypothesis and using data to test the hypothesis. Using COVID-19 data from 2020, this course will investigate if the proximity to New York Subway stations had any association with the concentrations of positive COVID-19 cases. We will explore how regression modeling is used to test this hypothesis.

At the end of this course, students should be able to:

  • Demonstrate knowledge of probability and standard statistical distributions*
  • Explain hypothesis testing and statistical significance*
  • Demonstrate and explain the role and importance of model validation and accuracy metrics in analytics projects, hypothesis testing, and information retrieval*
  • Explain the concept of the least squares criterion*
  • Describe the conditions that comprise the simple linear regression model*
  • Prerequisites

    There are no prerequisites for this course.

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