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****
One-way ANOVA: 2007-2008 Goals, 2012-2013 Goals, 2017-2018 Goals
Method
1)
Null hypothesis
: All means are equal
Alternative
hypothesis : At least one mean is different
Significance level :α = 0.05
Equal variances were assumed for the analysis.
Source DF Seq SS Contribution Adj SS Adj MS F-Value
P-Value
Factor 2 4110 69.14% 4110 2054.85 63.87
0.000
Error 57 1834 30.86% 1834 32.17
Total 59 5944 100.00%
2)
Where P-value is less than 0.05 So we reject H0 .so we may conclude that there is at least one mean is different.
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