Common Mistakes Made in Analyzing Data
Tuesday, Oct. 16
2:00 - 3:00 p.m. ET
In this webinar, we will illustrate some common mistakes that are made when analyzing data. We will address such topics as failing to properly incorporate statistical uncertainty, multicollinearity, overfitting the data, and extrapolation.
- Who should attend?
Any student, researcher or faculty member who want to enhance their proficiency in analyzing data.
- What can I expect to get out of the webinar?
You will learn skills and tools in JMP to recognize and avoid common data analysis mistakes.
- How much JMP experience should I have?
Knowledge of inferential statistics such as hypothesis testing as well as an understanding of statistical modeling. Familiarity with using JMP. We recommend watching the three short Getting Started for Academics webinars on demand.
Register now for this free, one-hour, interactive webinar.
Date: Tuesday, Oct. 16
Time: 2 PM ET (11 AM PT)