SITEMAP ABOUT
:: CONTACT
MiC Quality

SIX SIGMA GLOSSARY

  PROCESS IMPROVEMENT AND SIX SIGMA
ONLINE COURSES FREE TRIAL SIX SIGMA FAQ BROCHURES LICENSES ENROLL
GLOSSARY
:: Online Courses
:: Free Trial
:: Six Sigma
>> Glossary
>> Calculators
>> Reference Tables
>> Book Reviews
>> Black Belt ASQ
:: FAQ
:: Brochures
:: Licenses
:: Discounts
 
Welcome to MiC Quality Six Sigma Resources

MiC Quality
Online Learning
:: Home ::Six Sigma ::SIX SIGMA GLOSSARY: Replication :: CURRENT STUDENTS LOGIN

[SIX SIGMA GLOSSARY ALPHABETICAL INDEX] [SIX SIGMA GLOSSARY INDEX OF TOPICS]

Replication (Design of Experiments)
 

In the Design of Experiments it is usual to carry out several tests at each treatment, this allows the amount of variation (experimental error) to be estimated. If each treatment is tested four times then there are four replications of the design, as long as the important requirement that the order of the runs is randomized is satisfied.

The purpose of randomization is to remove systematic error. If the runs are not randomized but each treatment is repeated several times before moving on to the next, then that is referred to as a 'repeat' or 'repetition' rather than a 'replication'.

If the runs are not randomized the ANOVA analysis should not be carried out using the repeats as individual readings. Instead the mean of the repeats should be treated as a single reading

 

The Design of Experiments is covered in the MiC Quality basic Design of Experiments course and Advanced Design of Experiments course.

Try out our courses by taking the first module of the Primer in Statistics free of charge.

  Enroll Now
[SIX SIGMA GLOSSARY ALPHABETICAL INDEX] [SIX SIGMA GLOSSARY INDEX OF TOPICS] [Top]

MiC Quality Courses
:: Six Sigma Primer
:: Primer in Statistics
:: Advanced Statistics
:: Statistical Process Control SPC
:: Advanced SPC
:: Design of Experiments
:: Advanced DOE
:: Measurement Systems Analysis MSA/ Gage R&R
   
Primer in Statistics
FREE First Module
"Introduction to Statistics"

PDF

Primer in Statistics
FREE Reference Booklet

FREE Excel Primer
   
Learn More



 
Copyright 1998-2014 MiC Quality Legal Notices and Privacy Policy