This presentation will focus on proper interpretation of a confidence interval. Confidence intervals are the most informative measures of statistical inference because they provide information needed to determine “practical importance” as well as “statistical significance.” Of major emphasis is proper interpretation of the confidence coefficient (e.g., 95%) and how it pertains to the statistical process as opposed to an individual result.
Learning Objectives:
This video is part of an educational series presented by AAPS. Stats Snax discusses basic statistical concepts that apply to the pharmaceutical industry using examples from CMC development areas. Designed for non-statisticians, you will learn foundational concepts that CMC statisticians encounter in their daily interactions with clients. If you have ever wondered, “What is a p-value?” or “How is expiry determined?” – This series is for you!