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Making Data Driven Decision using Statistical Hypothesis Testing 

Wednesday, 02 October 2019 11:30 AM PDT, 02:30 PM EDT

Training Duration = 75 min                  Sponsored by Online Compliance Panel

Click Here to register $199.00

Click Here to register and receive CD recording $279.00

Many engineers, scientists, and business analysts struggle with the application of statistical methods when analyzing data for making 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.

In this webinar join expert speaker Steven Wachs, where he will focus on the correct interpretation and presentation of results rather than mathematical details.

Objectives of the Presentation:

  • Understand Hypothesis Testing definitions and methodology
  • Select appropriate hypothesis tests for specific applications
  • Understand key assumptions in specific tests
  • Interpret the results of hypothesis tests
  • Determine appropriate sample sizes for conducting studies
  • Learn how to supplement statistical results with graphical methods to illustrate conclusions
  • Use correct language when presenting a result

Why Should You Attend:

This training program will cover 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.

Instructor Profile:

Steven Wachs has 25 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 regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide.