Question

In: Math

2017-2018 Goals 49 44 43 42 42 41 40 40 39 39 39 37 36 36...

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****

Solutions

Expert Solution

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. Let level of significance = 0.05

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


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