Course Title: Survey of Industrial Research Statistics Presented by Dow Chemical
Course Date: 08/01/2017 - 08/03/2017
Course Time: 8:00am - 5:00pm
Course Location: 1320 Digital Computer Lab
Course Description: This 3-day training course is designed to give students a practitioner-level treatment of statistical techniques most commonly used in a chemical R&D / industrial setting. These techniques include hypothesis testing, measurement system assessment, comparing groups, design of experiments, issues of data integrity and cleanup, common pitfalls in data treatments, and instruction in JMP supportive statistical software to apply these techniques.
Course Benefits: Students will have the opportunity to learn how JMP statistical software is used to efficiently plan experiments and analyze data, with the goal of correct data-based decision making using hands-on examples with JMP. They will also learn techniques and considerations for extracting the most information from their data in a science-based industrial setting, and have the opportunity to interact with Dow Chemical Statisticians and Researchers to learn more about working and contributing in that setting.
Preparation Required: Laptops are required for attendance. In addition, students MUST install JMP v.12 on their laptop prior to the start of the course. Course materials (presentations, data sets) will be distributed at the start of the training session.