Level: Beginner
【Presenter】
Ruth Hummel, JMP Academic Ambassador, SAS Institute Inc.
[Co-presenter]
Rob Carver, Professor Emeritus, Stonehill College / Brandeis University
[Announcement summary]
Statistical educators have long recognized the value of projects and case studies as a way to integrate multiple topics in a single lecture. Whether teaching beginners statistical inference or in-house training on analytical techniques, it is meaningful for learners to know that the analysis is done in a large process that follows a predictable workflow. .. In this presentation, we will show you how to support each stage of Airbnb list data analysis through a demo of the JMP project. Using journals, graph builders, query builders, and many other tools within the environment of a JMP project, learners will learn how to record a process. The process looks like this:
1. ask a question
2. Clarify the required data and analysis plan
3. Collect data
Four. Arrange the data
Five. Perform analysis
6. Tell a story
Teaching a reliable workflow can help learners begin to follow statistical thinking logic and develop good thinking habits. Without a description of workflow, a lecture on statistics would appear to be a series of methods that lacked relevance and motivation. When the learner embraces the perspective of the project workflow, the parts come together in an exciting way.
[Presenter Profile]
Ruth Hummel is JMP's academic ambassador, supporting the technical needs of faculty and teachers who use JMP for education and research. Dr. Hummel is the author of "Business Statistics and Analytics in Practice (9th Edition)" and has a background in teaching and consulting statistics and analytics for government agencies and academia.
