Hypothesis Testing
Please type the answer by computer. (must answer and step degrees of freedom)
State SSW, SSB, the degrees of freedom, the
F-statistics, and the test result.
H0: Null Hypothesis:
HA: Alternative Hypothesis:
(At least one mean is different from the other 2 means)
From the given Table, the following Table is calculated:
Brand A | Brand B | Brand C | Total | |
N | 5 | 5 | 5 | 15 |
![]() |
40 | 43 | 49.5 | 132.5 |
Mean | 40/5 =8 | 43/5 = 8.6 | 49.5/5=9.9 | 132.5/15=8.833 |
![]() |
320.64 | 372.06 | 491.41 | 1184.11 |
Std. Dev. | 0.4 | 0.7517 | 0.5831 | 0.989 |
From the above Table, ANOVA Table is calculated as follows:
Source of Variation | Sum of Squares | Degrees of Freedom | Mean Sum of Squares | F |
Between Treatments | SSB=9.4333 | ![]() |
9.4333/2=4.7167 | F - statistic = 4.7167/0.355=13.2864 |
Within treatments | SSW=4.26 | ![]() |
4.26/12=0.355 | |
Total | 13.6933 | 14 |
F - statistic = 4.7167/0.355=13.2864
Degrees of freedom for numerator = = 2
Degrees of freedom for denominator = = 12
By Technology, P - value = 0.00009
Since P - value = 0.0009 is less than = 0.05, the
difference is significant. Reject null hypothesis.
Conclusion:
The data support the claim that there is a difference in the mean fuel consumption for the three makes of car.
Answers to questions asked:
(a) SSW=4.26
(b) SSB=9.4333
(c)
Degrees of freedom for numerator = = 2
Degrees of freedom for denominator = = 12
(d)
F - statistic =13.2864
(e) Test result:
The difference is significant. Reject null hypothesis.
Conclusion:
The data support the claim that there is a difference in the mean fuel consumption for the three makes of car.
Hypothesis Testing Please type the answer by computer. (must answer and step degrees of freedom) State...