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Statistical Methods for Engineering Research
Ducan’s multiple range test
Prepared By
Dr. Manu Melwin Joy
Assistant Professor
School of Management Studies
Cochin University of Science and Technology
Kerala, India.
Phone – 9744551114
Mail – manumelwinjoy@cusat.ac.in
Kindly restrict the use of slides for personal purpose.
Please seek permission to reproduce the same in public forms and
presentations.
Multiple comparison of means
• Numerous procedures can be used for
multiple comparison of means.
– Fisher’s Least Significant Difference.
– Tukey’s significant difference.
– Student – Newman Keuls (SNK).
– Duncan’s multiple range test.
Multiple comparison of means
• In any MC procedure, if the observed
difference between any two means is greater
than a critical value, the two means are
considered to be different.
Ducan’s multiple range test
• In 1955, Duncan devised a method to
compare each treatment mean with every
other treatment mean. The procedure is
simple and powerful and has become very
popular among researchers, especially in the
plant science area.
Ducan’s multiple range test
• The following example will be helpful to
understand the procedure. There are 2
candidates (variety A and variety B) and 4
comparators (varieties C to F) in a randomized
complete block design with four replications.
We want to compare the mean leaf length of
these varieties.
• The data and the Analysis of Variance
(ANOVA) are presented below.
Ducan’s multiple range test
• From the ANOVA F test, it is evident that there
are significant differences between the variety
means: however, it does not in any way
indicate which means are different or the
magnitude of differences. A pairwise t test
could be used to compare each candidate with
each comparator or a DMR test could be
performed to find the differences between the
various mean combinations.
Ducan’s multiple range test
Ducan’s multiple range test
Ducan’s multiple range test
• Step 3: Use the Duncan’s Multiple Range
Table (Appendix 1) for ranked order of
means at p = 0.01. This table is found in
the back of almost every statistics text
book. First, look vertically for the
appropriate df value which is the df value
for error in the ANOVA table (in this
example 15 ) then move horizontally to find
the rp values for the ranked order of mean
(in this example look for Rank 2 to Rank 6)
Ducan’s multiple range test
Ducan’s multiple range test
Ducan’s multiple range test
• Step 5: Compare the ranked means in all possible
combinations. Beginning with the largest mean,
each variety mean is compared to the smallest mean
using the appropriate critical value (Dp). For
example, the largest mean (Var B) and the smallest
mean (Var A) are 6 steps apart in the ranked order
therefore the correct critical value for comparing
them would be 6.59.
Ducan’s multiple range test
• The mean difference between these two varieties is 22.15,
which is higher than the Duncan’s critical value therefore we
can conclude that these two means are significantly different
at P=0.01. Similarly, when comparing the second largest
mean (Var E) with the smallest mean (Var A) we would use the
critical value of 6.50 because these two means are 5 steps
apart in the ranked order. The results of mean comparisons in
all possible combinations using the appropriate Dp values are
summarized below:
Ducan’s multiple range test
Ducan’s multiple range test
• Step 6: We can now summarize the results from the above
comparison as:
• There are no significant differences between varietal means
of B, E and C: however, they are significantly different from D,
F and A.
• There is no significant difference between the varietal means
of D and F; there is also no significant difference between the
varietal means of F and A: therefore, variety F falls within the
grouping range of both variety D and A. However, variety D is
significantly different from variety A.
Ducan’s multiple range test
• This is usually presented in the following format:
• Variety B 69.90a
• Variety E 68.88a
• Variety C 66.83a
• Variety D 57.93b
• Variety F 52.33 bc
• Variety A 47.75c
Ducan’s multiple range test - - Dr. Manu Melwin Joy - School of Management Studies, Cochin University of Science and Technology

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Ducan’s multiple range test - - Dr. Manu Melwin Joy - School of Management Studies, Cochin University of Science and Technology

  • 1. Statistical Methods for Engineering Research Ducan’s multiple range test
  • 2. Prepared By Dr. Manu Melwin Joy Assistant Professor School of Management Studies Cochin University of Science and Technology Kerala, India. Phone – 9744551114 Mail – manumelwinjoy@cusat.ac.in Kindly restrict the use of slides for personal purpose. Please seek permission to reproduce the same in public forms and presentations.
  • 3. Multiple comparison of means • Numerous procedures can be used for multiple comparison of means. – Fisher’s Least Significant Difference. – Tukey’s significant difference. – Student – Newman Keuls (SNK). – Duncan’s multiple range test.
  • 4. Multiple comparison of means • In any MC procedure, if the observed difference between any two means is greater than a critical value, the two means are considered to be different.
  • 5. Ducan’s multiple range test • In 1955, Duncan devised a method to compare each treatment mean with every other treatment mean. The procedure is simple and powerful and has become very popular among researchers, especially in the plant science area.
  • 6. Ducan’s multiple range test • The following example will be helpful to understand the procedure. There are 2 candidates (variety A and variety B) and 4 comparators (varieties C to F) in a randomized complete block design with four replications. We want to compare the mean leaf length of these varieties.
  • 7. • The data and the Analysis of Variance (ANOVA) are presented below.
  • 8. Ducan’s multiple range test • From the ANOVA F test, it is evident that there are significant differences between the variety means: however, it does not in any way indicate which means are different or the magnitude of differences. A pairwise t test could be used to compare each candidate with each comparator or a DMR test could be performed to find the differences between the various mean combinations.
  • 11. Ducan’s multiple range test • Step 3: Use the Duncan’s Multiple Range Table (Appendix 1) for ranked order of means at p = 0.01. This table is found in the back of almost every statistics text book. First, look vertically for the appropriate df value which is the df value for error in the ANOVA table (in this example 15 ) then move horizontally to find the rp values for the ranked order of mean (in this example look for Rank 2 to Rank 6)
  • 14. Ducan’s multiple range test • Step 5: Compare the ranked means in all possible combinations. Beginning with the largest mean, each variety mean is compared to the smallest mean using the appropriate critical value (Dp). For example, the largest mean (Var B) and the smallest mean (Var A) are 6 steps apart in the ranked order therefore the correct critical value for comparing them would be 6.59.
  • 15. Ducan’s multiple range test • The mean difference between these two varieties is 22.15, which is higher than the Duncan’s critical value therefore we can conclude that these two means are significantly different at P=0.01. Similarly, when comparing the second largest mean (Var E) with the smallest mean (Var A) we would use the critical value of 6.50 because these two means are 5 steps apart in the ranked order. The results of mean comparisons in all possible combinations using the appropriate Dp values are summarized below:
  • 17. Ducan’s multiple range test • Step 6: We can now summarize the results from the above comparison as: • There are no significant differences between varietal means of B, E and C: however, they are significantly different from D, F and A. • There is no significant difference between the varietal means of D and F; there is also no significant difference between the varietal means of F and A: therefore, variety F falls within the grouping range of both variety D and A. However, variety D is significantly different from variety A.
  • 18. Ducan’s multiple range test • This is usually presented in the following format: • Variety B 69.90a • Variety E 68.88a • Variety C 66.83a • Variety D 57.93b • Variety F 52.33 bc • Variety A 47.75c