The different samples are all
assumed to come from populations with the same variance,
allowing for a
pooled estimate of the variance.
For a multiple comparisons
test of the sample means to be meaningful,
the populations are viewed as fixed,
so that the populations in the experiment include all those of interest.
A one-way analysis of variance (ANOVA) tests whether any of the population
means differ from each other. A multiple comparisons test may be
used to answer the question of which population means differ from
which other means, a question the ANOVA itself will not answer.
Guidance:
Ways to detect before performing the
one-way ANOVA whether your data violate any assumptions.
Ways to examine one-way
ANOVA results to detect assumption violations.
Possible alternatives if your data or
one-way ANOVA results indicate assumption violations.
To properly analyze and interpret results of
one-way analysis of variance (ANOVA), you should be familiar with the following terms
and concepts:
Failure to understand and properly apply
one-way analysis of variance
(ANOVA) may result in drawing erroneous conclusions from your data.
If you are not familiar with these terms and concepts, you are advised to
consult with a statistician.
Additionally, you may want to consult the following references:
Brownlee, K. A. 1965. Statistical Theory and Methodology
in Science and Engineering. New York: John Wiley & Sons.
Daniel, Wayne W. 1995. Biostatistics. 6th ed.
New York: John Wiley & Sons.
Lindman, Harold R. 1992. Analysis of Variance in
Experimental Design. New York: Springer-Verlag.
Miller, Rupert G. Jr. 1996. Beyond ANOVA, Basics of Applied
Statistics. 2nd. ed.
London: Chapman & Hall.
Neter, J., Wasserman, W., and Kutner, M.H. 1990. Applied
Linear Statistical Models. 3rd ed. Homewood, IL: Irwin.
If you are unsatisfied with your purchase, you may return it within 30
days for an
exchange, credit or refund.
This guarantee does not cover electronic download products, special requests requiring photocopying
or
engineering aids; however, if you cannot
edit our document(s) in your MS Word, Excel or Visio program we will fix
it or give you a refund.
Can't find what you're
looking for...?
Please call, Fax or Email Us at:
Office: (719) 649-4242
Fax: (719) 573-4205 Home Page
Click here to bookmark At-PQC™ then visit our
Toolbox to find a quality control plan that will
help you achieve an effective and efficient business
infrastructure that focuses on customer satisfaction,
continuous improvement and desirable cost savings. Visit
with us today for comprehensive assistance in developing
or choosing the right quality control plan for your
business.
Click here to visit our extensive selection of
quality control plans, policies, procedures and forms or
click here
for help with where-to-start.
We can interact with you anywhere in the USA from
8:00am to 5:00pm Monday through Friday except holidays.
At-PQC™
JnF Specialties, LLC
664 Greenscape Lane
Colorado Springs, Colorado 80916-5534
Office:
(719) 649-4242
Fax: (719) 573-4205
Email Us at:
Send an email to request next-day support or call our helpline at 719-649-4242
during your office hours
Mon - Fri except holidays.
Featured
Article:
Where to
start...
