Basic Statistics for DOE

Refresh yourself on the fundamental statistics that serve as the base for design of experiments (DOE) skills. In a quick one-day class, we will review basic concepts and learn how to use Design-Expert® software to generate statistics such as confidence intervals, t-tests, and one-way ANOVAs.

This class is only available as a private on-site workshop.

Basic Statistics for DOE

Details

Basic Statistics for DOE (1 day, 0.8 CEU, In-House Only)

Refresh yourself on the fundamental statistics that serve as the base for design of experiments (DOE) skills. In a quick one-day class, we will review basic concepts and learn how to use Design-Expert® software to generate statistics such as confidence intervals, t-tests, and one-way ANOVAs.

Specific topics include:

  • Calculating mean, variance, standard deviation
  • Confidence, prediction, and tolerance intervals
  • T-testing, paired t-tests
  • One-way ANOVA
  • Power and sample size

Basic Statistics for DOE is aimed at engineers and other technical professionals who would like to brush up on their statistical skills before attending a DOE workshop. Using Design-Expert software, practical case studies are interwoven with statistical theory to help you rediscover your long-lost skills. Entertaining videos expand on the concepts presented in class.

"Fun and educational. Not overwhelming like stats can sometimes be. Great tone and energy." 
—Technical professional for medical diagnostics manufacturer

Course Outline

Day 1

Section 1 – Basic Statistics

 
  • Population vs sample
  • Descriptive statistics
    • Mean, variance and standard deviation
  • Using Design-Expert to compute statistics
    • Mean and standard deviation
 

Section 2 – Interval Estimates

 
  • Central limit theorem
  • Confidence interval for the mean
  • Prediction interval for a future outcome
  • Tolerance interval for a proportion of the population
  • Computing intervals using Design-Expert

Lunch

Section 3 – Hypothesis Testing (two means)

 
  • T-test
  • One-way ANOVA (F-test)
  • Paired t-test (blocking
 

Section 4 – One-Way ANOVA

 
  • F-test for three (or more) means
  • Video: Diet makes rats smarter
  • Estimating required sample size (power)
  • Exercise: An example! (putting it all together)
 

Section 5 – Review and Optional Exercise

 
  • Video comparing rollers
    • Review: comparing two means
  • Test your metal
    • Material comparison
    • How big of a sample
    • Answers (do NOT peek)
  • DOE Support

Prerequisites

None

Additional Information

PDHs 8
Additional Information No