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FRIEDMAN TEST 
Dumago, Mirador, Diaday, Malda
III-Becquerel
• non-parametric alternative to
the one-way ANOVA with
repeated measures
• used t  test for differences
between groups when the
dependent variable being
measured is ordinal

iiIt can also be used for
continuous data that has
violated the assumptions
necessary to run the one-way
ANOVA with repeated
measures

• Assumption #1: One group that is
measured on three or more
different occasions.
• Assumption #2: Group is a
random sample from the
population.
• Assumption #3: Your dependent
variable should be measured at
the ordinal or interval/ratio level
• Assumption #4: Samples do NOT
need to be normally distributed.
Where:
= number of columns (often called
“treatments”)
= number of rows (often called
“blocks”)
= sum of the ranks in column.
EXAMPLE
: One of the three violins
will be selected by the
musical arts foundation
: none of the three violins
will be selected by the
musical arts foundation
SUBJECTS VIOLINS
A B C
1 9.0 7.0 6.0
2 9.5 6.5 8.0
3 5.0 7.0 4.0
4 7.5 7.5 6.0
5 9.5 5.0 7.0
6 7.5 8.0 6.5
7 8.0 6.0 6.0
8 7.0 6.5 4.0
9 8.5 7.0 6.5
10 6.0 7.0 3,0
SUBJE
CTS
ORIGINAL MEASURES
A B C
1 9.0 7.0 6.0
2 9.5 6.5 8.0
3 5.0 7.0 4.0
4 7.5 7.5 6.0
5 9.5 5.0 7.0
6 7.5 8.0 6.5
7 8.0 6.0 6.0
8 7.0 6.5 4.0
9 8.5 7.0 6.5
10 6.0 7.0 3,0
RANKED MEASURESS
A B C
3 2 1
3 1 2
2 3 1
2.5 2.5 1
3 1 2
2 3 1
3 1.5 1.5
3 2 1
3 2 1
2 3 1
SUBJECTS RANKED MEASURES
A B C
1 3 2 1
2 3 1 2
3 2 3 1
4 2.5 2.5 1
5 3 1 2
6 2 3 1
7 3 1.5 1.5
8 3 2 1
9 3 2 1
10 2 3 1
TOTAL 26.5 21.0 12.5
MEAN 2.65 2.10 1.25
A B C
ALL
counts 10 10 10 30 n=10
[subjects]T
k=3
[measures
per
subject]T
nk=30
sums 26.5 21.0 12.5 60.0
means 2.65 2.10 1.25 2.0

M= 12 [(26.5)2+(21.0)2(12.5)2]-(3)(10)(4)
(10)(3)(4)
M= (0.1 x 1299.5)-120
M= 9.95


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Friedman test Stat

  • 1. FRIEDMAN TEST  Dumago, Mirador, Diaday, Malda III-Becquerel
  • 2. • non-parametric alternative to the one-way ANOVA with repeated measures • used t  test for differences between groups when the dependent variable being measured is ordinal 
  • 3. iiIt can also be used for continuous data that has violated the assumptions necessary to run the one-way ANOVA with repeated measures 
  • 4. • Assumption #1: One group that is measured on three or more different occasions. • Assumption #2: Group is a random sample from the population.
  • 5. • Assumption #3: Your dependent variable should be measured at the ordinal or interval/ratio level • Assumption #4: Samples do NOT need to be normally distributed.
  • 6. Where: = number of columns (often called “treatments”) = number of rows (often called “blocks”) = sum of the ranks in column.
  • 8.
  • 9. : One of the three violins will be selected by the musical arts foundation : none of the three violins will be selected by the musical arts foundation
  • 10. SUBJECTS VIOLINS A B C 1 9.0 7.0 6.0 2 9.5 6.5 8.0 3 5.0 7.0 4.0 4 7.5 7.5 6.0 5 9.5 5.0 7.0 6 7.5 8.0 6.5 7 8.0 6.0 6.0 8 7.0 6.5 4.0 9 8.5 7.0 6.5 10 6.0 7.0 3,0
  • 11. SUBJE CTS ORIGINAL MEASURES A B C 1 9.0 7.0 6.0 2 9.5 6.5 8.0 3 5.0 7.0 4.0 4 7.5 7.5 6.0 5 9.5 5.0 7.0 6 7.5 8.0 6.5 7 8.0 6.0 6.0 8 7.0 6.5 4.0 9 8.5 7.0 6.5 10 6.0 7.0 3,0 RANKED MEASURESS A B C 3 2 1 3 1 2 2 3 1 2.5 2.5 1 3 1 2 2 3 1 3 1.5 1.5 3 2 1 3 2 1 2 3 1
  • 12. SUBJECTS RANKED MEASURES A B C 1 3 2 1 2 3 1 2 3 2 3 1 4 2.5 2.5 1 5 3 1 2 6 2 3 1 7 3 1.5 1.5 8 3 2 1 9 3 2 1 10 2 3 1 TOTAL 26.5 21.0 12.5 MEAN 2.65 2.10 1.25
  • 13. A B C ALL counts 10 10 10 30 n=10 [subjects]T k=3 [measures per subject]T nk=30 sums 26.5 21.0 12.5 60.0 means 2.65 2.10 1.25 2.0 
  • 15.
  • 16.