In: Math
2017-2018 Goals |
49 |
44 |
43 |
42 |
42 |
41 |
40 |
40 |
39 |
39 |
39 |
37 |
36 |
36 |
35 |
35 |
34 |
34 |
34 |
34 |
2012-2013 Goals |
32 |
29 |
28 |
26 |
23 |
23 |
23 |
22 |
22 |
21 |
21 |
21 |
20 |
20 |
20 |
19 |
19 |
18 |
18 |
18 |
2007-2008 Goals |
65 |
52 |
50 |
47 |
43 |
43 |
42 |
41 |
40 |
40 |
38 |
38 |
36 |
36 |
35 |
34 |
34 |
33 |
33 |
32 |
Given the above three sets of data, we want to compare the three seasons using the ANOVA. Answer the following questions:
1. Using proper notation, write the null and alternative hypothesis statements.
2. In the context of the problem posed, interpret the results of the test and make a conclusion about the hypotheses.
****You must be provide concise explanations in your solutions in order to receive credit****
Given the above three sets of data, we want to compare the three seasons using the ANOVA. Answer the following questions:
Let Group 1= 2017-2018 Goals, Group 2= 2012-2013 Goals, Group 3= 2007-2008 Goals
H1: At least one of the mean is different from the others
2. In the context of the problem posed, interpret the results of the test and make a conclusion about the hypotheses.
ANOVA test is applied to the data.
Calculated F=63.87, P=0.0000 which is < 0.05 level of significance. Ho is rejected.
We conclude that there is significant difference in average goals among the three seasons.
Excel Addon Megastat used
One factor ANOVA |
|||||
Mean |
n |
Std. Dev |
|||
2017-2018 Goals |
38.6500 |
20 |
4.0817 |
||
2012-2013 Goals |
22.1500 |
20 |
3.8699 |
||
2007-2008 Goals |
40.6000 |
20 |
8.0551 |
||
Total |
33.8000 |
60 |
10.0369 |
||
ANOVA table |
|||||
Source |
SS |
df |
MS |
F |
p-value |
Treatment |
4109.7000 |
2 |
2054.8500 |
63.87 |
0.0000 |
Error |
1833.9000 |
57 |
32.1737 |
||
Total |
5943.6000 |
59 |