In: Statistics and Probability
1970’s |
1980’s |
1990’s |
|||
97 |
105 |
78 |
|||
105 |
108 |
87 |
|||
109 |
106 |
90 |
|||
87 |
114 |
87 |
|||
96 |
111 |
113 |
|||
102 |
111 |
90 |
|||
102 |
115 |
99 |
|||
114 |
114 |
97 |
|||
118 |
102 |
108 |
|||
113 |
123 |
92 |
This table uses the data file that contains the scores of the winning teams from the final NBA Championship game. I would like to know if the average winning score is the same for each decade listed in the table. Test the claim that the samples all come from populations with the same mean. Use a significance level of 0.05.
REJECT YES or NO
In this example, the hypotheses are:
Null hypothesis There is no significant difference in the
average winning score in each decade.
Alternative hypothesis At least one the average winning score is
different among the three decade.
Null hypothesis H0: μ1 = μ2 = μ3 = μ4
Alternative hypothesis H1: The means are not all equal.
Significance level α = 0.05
Equal variances were assumed for the analysis.
Factor Information
Factor Levels Values
Decade 3 1970’s, 1980’s, 1990’s
The test statistic for testing H0: μ1 = μ2 = ... = μ4 is:
The test statistic for testing H0: μ1 = μ2 = ... = μ4 is:
where
In order to determine the critical value of F we need degrees of freedom, df1=k-1 and df2=N-k. In this example, df1=k-1=3-1=2 and df2=N-k=30-3=27.
The critical value is
and the decision rule is as follows: Reject H0 if F > 3.3541.
Analysis of Variance
Source | DF | Adj SS | Adj MS | F-Value | P-Value |
Factor | 2 | 1433 | 716.4 | 9.12 | 0.0009 |
Error | 27 | 2122 | 78.59 | ||
Total | 29 | 3555 |
P-value=0.0009
Conclusion:
We reject H0 because F-value=9.12 > F-critical value= 3.3541 and also P-value=0.0009< level of significance=0.05.
We have statistically significant evidence at α=0.05
Hence, At least one the average winning score is different among the three decade.