In: Statistics and Probability
Question #3
Use P-Value method and 3% significance level, test the claim that
the true mean weight loss produced by the three exercise programs
have the same mean. Assume that the populations are normally
distributed with the same variance.
Exercise A | Exercise B | Exercise C |
5.6 | 6.8 | 9.3 |
8.1 | 4.9 | 6.2 |
4.3 | 3.1 | 5.8 |
9.1 | 7.8 | 7.1 |
7.1 | 1.2 | 7.9 |
The null hypothesis is : H0 : All the populations means are equal
The alternative hypothesis is : H1 : At least one mean is different from the remaining two.
The computations :-
Group totals:
Exercise A | Exercise B | Exercise C | |
5.6 | 6.8 | 9.3 | |
8.1 | 4.9 | 6.2 | |
4.3 | 3.1 | 5.8 | |
9.1 | 7.8 | 7.1 | |
7.1 | 1.2 | 7.9 | |
Totals | 34.2 = T10 | 23.8 = T20 | 36.3 = T30 |
Grand total = T00 | 94.3 = (T10 + T20 + T30 ) |
Now, The raw total SS is : (5.62 + 6.82 + ... + 7.92) = 662.21
Correction factor is : (T00)2/n = 94.32/15 = 592.833 and
(T10)2/5 + (T20)2/5 + (T30)2/5 = 610.754
So , Total SS : 662.21 - 592.833 = 69.377
SSB : 610.754 - 592.833 = 17.921
SSW : Total SS - SSB = 51.456
THE ANOVA TABLE IS GIVEN BELOW :
ANOVA | ||||||
Source of Variation | SS | df | MS =SS/df | F = MSB/MSW | P-value | F crit = F0.05;2,12 |
Between Groups | 17.921 | (3-1)=2 | 8.960667 | 2.089708 | 0.16646 | 3.885294 |
Within Groups | 51.456 | (15-3)=12 | 4.288 | |||
Total | 69.377 | 14 = (15-1) |
Since the P value is greater than level of significance, we fail to reject the null hypothesis and conclude that the true mean weight loss produced by the three exercise programs have the same mean.