Statistical Hypothesis Tests: Concepts and Applications

Instructor: Steven Wachs
Product ID: 704211
  • 10
  • March 2017
  • 10:00 AM PST | 01:00 PM EST
    Duration: 60 Min

Live Online Training
March 10, Friday 10:00 AM PST | 01:00 PM EST
Duration: 60 Min

One Dial-in One Attendee
Group-Max. 10 Attendees/Location
(For multiple locations contact Customer Care)

recorded version

1x Person - Unlimited viewing for 6 Months
(For multiple locations contact Customer Care)
Recorded Link and Ref. material will be available in My CO Section 48 hrs after completion of Live training

Training CD

One CD is for usage in one location only.
(For multiple locations contact Customer Care)
CD and Ref. material will be shipped within 15 business days after completion of Live training

Customer Care

Fax: +1-650-963-2556


Read Frequently Asked Questions

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.

Why Should You Attend:

Many engineers, scientists, and business analysts struggle with the application of statistical methods when analyzing data to 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 will be 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 Webinar:

  • Understand hypothesis testing definitions and methodology
  • Select appropriate hypothesis tests for specific applications
  • Understand key assumptions in specific tests
  • Interpret 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 results

Who Will Benefit:

  • Product development personnel
  • Research and development personnel
  • Quality personnel
  • Product/process engineers
  • Personnel utilizing data to make decisions and improve processes

Instructor Profile:

Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. He 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.

Mr. Wachs 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. Mr. Wachs regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide.

He has an M.A. in Applied Statistics from the University of Michigan, an M.B.A, Katz Graduate School of Business from the University of Pittsburgh, 1992, and a B.S., Mechanical Engineering from the University of Michigan.

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