At the 0.01 significance level, test the claim that the three brands have the same mean level if the following sample results have been obtained. Use Anova.
Brand A | Brand B | Brand C |
32 | 27 | 22 |
34 | 24 | 25 |
37 | 33 | 32 |
33 | 30 | 22 |
36 | 21 | |
39 |
Claim:
Null Hypothesis:
Alternative Hypothesis:
Calculator Screen Name in Ti 183:
test statistics:
Pvalue/alpha conversion
decision:
Conclusion:
Ans:
H0: The three brands have the same mean level.
Ha:At least one brand has different mean level from others.
H0 is claim.
Brand A | Brand B | Brand C | |
1 | 32 | 27 | 22 |
2 | 34 | 24 | 25 |
3 | 37 | 33 | 32 |
4 | 33 | 30 | 22 |
5 | 36 | 21 | |
6 | 39 | ||
mean | 35.167 | 28.500 | 24.400 |
std.dev. | 2.639 | 3.873 | 4.506 |
ANOVA output:
Test statistics:
F=12.123
p-value=0.001
Decision:
As,p-value is less than 0.01,we Reject the null hypothesis.
Conclusion:
There is sufficient evidence to reject the claim that the three brands have the same mean level.
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