Below are the bowling scores of 4 groups of 4 players each. At 5% significance level, find out if there is unusual variation among the four groups. Group A: Player A 98, Player B 78, Player C 95, Player D 110. Group B: Player A 100, Player B 95. Player C 90, Player D 102 Player D 85. Group C: Player A 87, Player B 95, Player C 105, Player D 88 and Group D: Player A 90, Player B 93, Player C 95, Player D 97.
SOLUTION
Set the hypothesis
Null Hypothesis: H0: The mean of four groups have a variation.
"H_0:\\mu=variation"
Alternative Hypothesis: Ha: The mean of four groups have no variation
"H_a:\\mu\\not =variation"
I used the excel function data analysis to do the ANOVA-Single Factor analysis to test if there is variation between the mean of the four groups A, B, C, and D.
The summary displays Group C and D having the lowest mean at 93.75 proceeding to the highest mean that is Group D with a mean of 96.75.
Decision making: If the p-value is less or greater the alpha value 0.05, then the reject the null hypothesis, otherwise do not reject the null hypothesis.
Conclusion: Checking the ANOVA table, the p-value is 0.948137307347537. We reject the null hypothesis because the p-value is greater than the alpha value. There is enough evidence that proves a conclusion that there is variance in the mean of the four groups.
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