In: Statistics and Probability
An investigator wonders if slow-tempo music is more complex than fast-tempo music – since with slower music, the listener has more time to process the incoming musical information. To study this, he examines three samples of pop songs by the Beatles that differ in tempo: slow (group 1), moderate (group 2), and fast (group 3). 20 Beatles songs are sampled in each category (so, 60 songs total). As a measure of musical complexity, the investigator counts the number of different chords that appear in each song (a chord is a group of notes played at the same time). He then compares the three tempo groups to see if they differ in average number of chords each song contains. Analyze the data using JASP, SPSS, or an online calculator, and answer the following question
do post hoc comparisons using Tukey’s HSD with a = 0.05. Report which means are reliably different, and what the basis for that decision is (in terms of the decision rule).
group |
chords |
1 |
9 |
1 |
9 |
1 |
10 |
1 |
11 |
1 |
11 |
1 |
11 |
1 |
12 |
1 |
12 |
1 |
12 |
1 |
13 |
1 |
13 |
1 |
13 |
1 |
14 |
1 |
14 |
1 |
14 |
1 |
14 |
1 |
14 |
1 |
15 |
1 |
17 |
1 |
19 |
2 |
5 |
2 |
5 |
2 |
6 |
2 |
6 |
2 |
6 |
2 |
7 |
2 |
7 |
2 |
7 |
2 |
8 |
2 |
8 |
2 |
8 |
2 |
9 |
2 |
9 |
2 |
9 |
2 |
9 |
2 |
10 |
2 |
10 |
2 |
11 |
2 |
12 |
2 |
14 |
3 |
2 |
3 |
4 |
3 |
4 |
3 |
4 |
3 |
5 |
3 |
6 |
3 |
6 |
3 |
6 |
3 |
6 |
3 |
7 |
3 |
7 |
3 |
7 |
3 |
7 |
3 |
8 |
3 |
9 |
3 |
9 |
3 |
9 |
3 |
10 |
3 |
10 |
3 |
11 |
Using an online calculator, the output is:
Empty cells or non-numeric cells will be ignored
Group1 contains 20 values
Group2 contains 20 values
Group3 contains 20 values
validation:success
Hover over the cells for more information.
Source | DF | Sum of Square | Mean Square | F Statistic | P-value |
---|---|---|---|---|---|
Groups (between groups) | 2 | 392.033333 | 196.016667 | 34.136728 | 1.79246e-10 |
Error (within groups) | 57 | 327.299968 | 5.742105 | ||
Total | 59 | 719.333301 | 12.192090 |
One Way ANOVA test, using F distribution df(2,57) (right tailed)
1. H0 hypothesis
Since p-value<α, H0 is rejected.
Some of the groups' averages consider to be not equal.
In other words, the difference between the averages of some groups
is big enough to be statistically significant.
2. P-value
p-value equals 1.79246e-10, [p( x ≤ F ) = 1.00000 ]. This means
that the chance of type1 error (rejecting a correct H0) is small:
1.792e-10 (1.8e-8%)
The smaller the p-value the stronger it support H1
3. The statistics
The test statistic F equals 34.136728, is not in the 95% critical
value accepted range: [-∞ : 3.1588]
4. Effect size
The observed effect size f is large (1.09). That indicates that the
magnitude of the difference between the averages is large.
The η2 equals 0.54. It means that the group
explains 54.5% of the variance from the average (similar to R2 in
the linear regression)
5. Tukey HSD / Tukey Kramer
The means of the following pairs are significantly different:
x1-x2, x1-x3.
Tukey HSD / Tukey Kramer
Pair | Difference | SE | Q | Lower CI | Upper CI | Critical Mean | p-value |
---|---|---|---|---|---|---|---|
x1-x2 | 4.550000 | 0.535822 | 8.491626 | 2.726496 | 6.373504 | 1.823504 | 4.21384e-7 |
x1-x3 | 6.000000 | 0.535822 | 11.197748 | 4.176496 | 7.823504 | 1.823504 | 3.16771e-10 |
x2-x3 | 1.450000 | 0.535822 | 2.706122 | -0.373504 | 3.273504 | 1.823504 | 0.144140 |
Group | x2 | x3 |
---|---|---|
x1 | 4.55 | 6.00 |
x2 | 0.0 | 1.45 |