Chemistry in Numbers: How to Master the Statistical Analysis of Laboratory Data
Everyone knows the importance of rigorous lab work, but that's not the first step. Experimental design should be employed at the beginning of your research because often once you have gathered the data it may be too late. Join us as Stanley Deming of Statistical Designs and Steve Morgan of the University of South Carolina share how to assess the quality of what you are collecting and improve the outcome of your statistical analysis by careful design of your experiments.
What You Will Learn
- How to create a confidence interval for the mean
- The importance of a narrow confidence interval
- What you can do to make the confidence interval narrower
- Experimental Design for Productivity and Quality in Research & Development - Short Course taught by Stanley and Stephen
- Process Capability: What It Is and How To Achieve It - Short Course taught by Stanley and Stephen
- Statistical Analysis of Laboratory Data - Short Course taught by Stanley and Stephen
- Date: Thursday, September 7, 2017 @ 2:00-3:00pm ET
- Fee: Free to Attend
- Download Slides: Available Day of Broadcast
The Fine Print
ACS Webinars® does not endorse any products or services. The views expressed in this presentation are those of the presenters and do not necessarily reflect the views or policies of the American Chemical Society.