Data Driven Decision Making

Overview

Once we have generated data, we need to answer the research question by performing an appropriate statistical analysis. Engineers and business professionals need to know which test or tests to use. Through this class, you will be able to perform one sample tests for comparison to historical data. You will also be able to determine statistically significant relationships between two variables. You will be able to perform two sample tests for both independent and dependent data. Finally, you will analyze data with more than two groups using the Analysis of Variance. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

Syllabus

One Sample Tests

Upon completion of this module, students will be able compare generated data to historical data for both continuous and discrete data using RStudio and ROIStat.

Correlation and Association

Upon completion of this module, students will be able to determine relationships between two variables for both continuous and discrete data using RStudio and ROIStat.

Two Sample Tests for Independent Data

Upon completion of this module, students will be able to compare two independent samples for both continuous and discrete data using RStudio and ROIStat.

Two Sample Tests for Dependent Data

Upon completion of this module, students will be able to compare two dependent samples for both continuous and discrete data using RStudio and ROIStat.