Welcome to the QLAB Understanding Descriptive Statistics Module!
This module is designed to strengthen your understanding of descriptive statistics by giving you an opportunity to see how descriptive statistics are used in several disciplines, as highlighted in the “Applications” section(s).
For those of you who feel rusty on this topic, this module is also a chance for a refresher. We would recommend that you start with the "Learn and Practice" section before doing the "Applications" section(s). Quantitative skills are built with practice, and this module is designed to help you practice using real-world contexts.
By using this module we hope that you will be able to answer the following questions:
- What information is contained in descriptive measures of a dataset?- What differences in datasets can be explored using the descriptive measures?
- How can choices about constructing plots and graphs impact the viewers’ understanding of a dataset and its descriptive measures?
- How does one report descriptive statistics in the appropriate manner for a given dataset?
You can navigate through the materials in the order presented; alternatively if you're looking for a specific piece of content or are coming back to the module for review, you can jump directly into the module at any point.
Much of the material is presented in a quiz format. However, please be aware that you're not being graded and the questions are there to help you deepen your understanding not to evaluate you.