In: Statistics and Probability
A sports agent wants to find out whether the median annual income of players (athletes) in each different type of sport is uniform. The following table shows the annual income (in Million US $) of 52 players (athletes) for 4 types of sports
Football |
1.2 |
1.6 |
2.2 |
3.4 |
1.4 |
1.6 |
5.0 |
4.0 |
3.0 |
2.9 |
7.6 |
4.8 |
|||
Volley Ball |
1.1 |
7.7 |
6.7 |
8.4 |
5.6 |
3.4 |
5.9 |
3.4 |
2.3 |
4.5 |
3.3 |
6.7 |
9.7 |
12.3 |
14.0 |
Basket Ball |
4.0 |
2.3 |
1.1 |
0.4 |
0.9 |
2.3 |
1.5 |
3.4 |
5.6 |
3.9 |
5.6 |
||||
Badminton |
4.0 |
3.3 |
2.2 |
3.5 |
4.4 |
3.1 |
1.3 |
1.2 |
1.7 |
1.6 |
1.8 |
1.9 |
2.1 |
2.2 |
Question
1. How to design the hypothesis?
2. Find the critical value of the test at a significance level of
1%
3. What is the H statistic of the problem?
4. Using the available critical values, what is the conclusion from
testing the hypothesis?
Kruskal-Wallis Rank Test for Differences in Medians |
Sample | Value | Rank | Football | Volley Ball | Basket Ball | Badminton | |
Basket Ball | 0.4 | 1 | 1.2 | 1.1 | 4 | 4 | |
Basket Ball | 0.9 | 2 | 1.6 | 7.7 | 2.3 | 3.3 | |
Volley Ball | 1.1 | 3.5 | 2.2 | 6.7 | 1.1 | 2.2 | |
Basket Ball | 1.1 | 3.5 | 3.4 | 8.4 | 0.4 | 3.5 | |
Football | 1.2 | 5.5 | 1.4 | 5.6 | 0.9 | 4.4 | |
Badminton | 1.2 | 5.5 | 1.6 | 3.4 | 2.3 | 3.1 | |
Badminton | 1.3 | 7 | 5 | 5.9 | 1.5 | 1.3 | |
Football | 1.4 | 8 | 4 | 3.4 | 3.4 | 1.2 | |
Basket Ball | 1.5 | 9 | 3 | 2.3 | 5.6 | 1.7 | |
Football | 1.6 | 11 | 2.9 | 4.5 | 3.9 | 1.6 | |
Football | 1.6 | 11 | 7.6 | 3.3 | 5.6 | 1.8 | |
Badminton | 1.6 | 11 | 4.8 | 6.7 | 1.9 | ||
Badminton | 1.7 | 13 | 9.7 | 2.1 | |||
Badminton | 1.8 | 14 | 12.3 | 2.2 | |||
Badminton | 1.9 | 15 | 14 | ||||
Badminton | 2.1 | 16 | |||||
Football | 2.2 | 18 | |||||
Badminton | 2.2 | 18 | |||||
Badminton | 2.2 | 18 | |||||
Volley Ball | 2.3 | 21 | |||||
Basket Ball | 2.3 | 21 | |||||
Basket Ball | 2.3 | 21 | |||||
Football | 2.9 | 23 | |||||
Football | 3 | 24 | |||||
Badminton | 3.1 | 25 | |||||
Volley Ball | 3.3 | 26.5 | |||||
Badminton | 3.3 | 26.5 | |||||
Football | 3.4 | 29.5 | |||||
Volley Ball | 3.4 | 29.5 | |||||
Volley Ball | 3.4 | 29.5 | |||||
Basket Ball | 3.4 | 29.5 | |||||
Badminton | 3.5 | 32 | |||||
Basket Ball | 3.9 | 33 | |||||
Football | 4 | 35 | |||||
Basket Ball | 4 | 35 | |||||
Badminton | 4 | 35 | |||||
Badminton | 4.4 | 37 | |||||
Volley Ball | 4.5 | 38 | |||||
Football | 4.8 | 39 | |||||
Football | 5 | 40 | |||||
Volley Ball | 5.6 | 42 | |||||
Basket Ball | 5.6 | 42 | |||||
Basket Ball | 5.6 | 42 | |||||
Volley Ball | 5.9 | 44 | |||||
Volley Ball | 6.7 | 45.5 | |||||
Volley Ball | 6.7 | 45.5 | |||||
Football | 7.6 | 47 | |||||
Volley Ball | 7.7 | 48 | |||||
Volley Ball | 8.4 | 49 | |||||
Volley Ball | 9.7 | 50 | |||||
Volley Ball | 12.3 | 51 | |||||
Volley Ball | 14 | 52 |
1)
Ho: medianfootball=medianvolleyball=medianbasketball=medianBadminton
Ha: at least one median is different from other
------------
2)
Number of Groups 4
α=0.05
Critical Value 7.8147
3)
Kruskal-Wallis Rank Test for Differences in Medians | ||||||
Data | ||||||
Level of Significance | 0.05 | Group | Sample Size | Sum of Ranks | Mean Ranks | |
r 4 types of sports | 12 | 291 | 24.25 | |||
Intermediate Calculations | 15 | 575 | 38.3333333 | |||
Sum of Squared Ranks/Sample Size | 39614.73 | 11 | 239 | 21.7272727 | ||
Sum of Sample Sizes | 52 | 14 | 273 | 19.5 | ||
Number of Groups | 4 | |||||
Test Result | ||||||
H Test Statistic | 13.4880 |
H Test Statistic =13.4880
4) since, test stat > critical value, reject the null hypothesis
there is enough evidence to conclude that median annual income of players (athletes) in each different type of sport is not uniform