Overview:
This webinar covers Statistical Hypothesis Testing Concepts including: Null and Alternate Hypotheses, Test Statistics, p-values, confidence intervals, confidence levels, power, power curves, and sample sizes. Several types of hypothesis tests will be covered such as 1 and 2-sample means tests, tests of variances, and tests of proportions. Equivalence tests will also be discussed. The importance of selecting appropriate sample sizes will be stressed.
Key Learning Objectives include:
Why you should Attend:
Many engineers, scientists, and business analysts struggle with the application of statistical methods when analyzing data to make decisions. Non statisticians frequently seek help in tasks such as determining appropriate sample sizes, interpreting tests results, and distinguishing statistical differences from practical differences. This webinar will lay the groundwork for a deeper understanding of statistical hypothesis tests. Key concepts and terminology underlying statistical hypothesis tests are clearly explained. Then, the applications of various different hypothesis tests along with important assumptions are presented. The focus will be on the correct interpretation and presentation of results rather than mathematical details.
Areas Covered in the Session:
Who Will Benefit:
Steve Wachs has 30 years of wide-ranging industry experience in both technical and management positions. Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.
Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty. Steve consults and provides workshops in industrial statistical methods worldwide. He also supports Integral Concepts’ Litigation / Expert Witness practice with data analysis.
Steve possesses an M.A. in Applied Statistics from University of Michigan (Ann Arbor), an M.B.A. from the Katz Graduate School of Business, University of Pittsburgh, and a B.S. in Mechanical Engineering from the University of Michigan (Ann Arbor).