groebner business statistic 8ed ch12 minitab tutorial
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Guide to Using Minitab 14 For Basic
Statistical Applications
To Accompany
Business Statistics: A Decision Making
Approach, 8th Ed.
Chapter 12:
Analysis of Variance
By
Groebner, Shannon, Fry, & SmithPrentice-Hall Publishing Company
Copyright, 2011
Chapter 12 Minitab Examples
Analysis of Variance
Hydronics Corporation
Analysis of Variance
Digitron Inc.
Randomized Block Analysis of Variance
Citizens State Bank
Two Factor Analysis of Variance with replications –Fly High Airlines
Analysis of Variance -Hydronics Corporation
Issue: The company wants to compare two
weight loss supplements with a placebo.
Objective: Use Minitab to help test a hypothesis
about the mean weight loss associated with
three groups.
Data file is Hydronics.MTW
Open File Hydronics.MTW
Analysis of Variance – Hydronics Corp.
First click on
Stat, then
ANOVA and
finally on
One-Way
Analysis of Variance – Hydronics Corp.
Identify the columns
containing the variables to
be analyzed (Loss) Then
identify the column
containing the Factor
(Program) Click on OK
Analysis of Variance – Hydronics Corp.
The Minitab output shows we should reject the
hypothesis of equal means. The p-value is less than alpha
and F is greater than F critical. Minitab also determines
confidence intervals for all variables
Analysis of Variance – Hydronics Corp.
One-Way ANOVA
Digitron
Issue: Digitron is interested in testing whether there is
a difference in the mean stopping distance for four
brake types
Objective: Use Minitab to test the hypothesis there is
no difference in average stopping distance.
Data file is Digitron.MTW
Open File Digitron.MTW
Analysis of Variance – Digitron.
First click on
Stat, then
ANOVA and
finally on
One-Way
Analysis of Variance – Digitron
Identify the columns
containing the variables to
be analyzed (Distance)
Then identify the column
containing the Factor
(Brake) Click on OK
Analysis of Variance – Digitron
The Minitab output shows we should reject the
hypothesis of equal means. The p-value is less than alpha
and F is greater than F critical. Minitab also determines
confidence intervals for all variables’ means
Analysis of Variance – Digitron
Randomized Block ANOVA
Citizens State Bank
Issue: Bank managers wish to test the hypothesis that
there is no difference in the average house appraisal
by three different appraising companies.
Objective: Use Minitab to test the hypothesis there is
no difference in average appraisal price.
Data file is Citizens.MTW
Open File Citizens.MTW
File contains appraisal
values for 5 houses by
each appraiser.
Randomized Block ANOVA – Citizens State Bank
First click on
Stat, then
ANOVA and
finally on
Two-way.
Randomized Block ANOVA – Citizens State Bank
Identify the columns containing the
response variable to be analyzed
(Appraisal), the column containing the
house identifier (Company) and the
company identifier (Property).
Randomized Block ANOVA – Citizens State Bank
The F and P-values
indicate both the
blocking and main
effects are significant.
Randomized Block ANOVA – Citizens State Bank
Issue: The airline is interested in determining the
effect of redemption offers on the number of miles
that would be redeemed.
Objective: Use Minitab to test the hypothesis there is
no difference in average redemption rate.
Data file is Fly-High.MTW
Two Factor ANOVA With
Replications - Fly High
Airlines
Open file Fly-
High.MTW
Two Factor ANOVA With Replications – Fly High Airlines
First click on
Stat, then
ANOVA and
finally on
Two-way.
Two Factor ANOVA With Replications – Fly High Airlines
Identify the columns containing
the response variable to be
analyzed (Value), the Row Factor
(Redemption Option) and the
Column Factor (Age Group)
Two Factor ANOVA With Replications – Fly High Airlines
This is last part of the Minitab
output. All the F values are
small and all P-values are
large. No interaction – and fail
to reject hypothesis that factor
means are equal.
Two Factor ANOVA With Replications – Fly High Airlines
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