In: Statistics and Probability
An executive at the home office of Big Rock Life Insurance is considering three branch managers as candidates for promotion to vice president. The branch reports include records showing sales volume for each salesperson in the branch (in hundreds of thousands of dollars). A random sample of these records was selected for salespersons in each branch. All three branches are located in cities in which per capita income is the same. The executive wishes to compare these samples to see if there is a significant difference in performance of salespersons in the three different branches. If so, the information will be used to determine which of the managers to promote.
Branch Managed by Adams | Branch Managed by McDale | Branch Managed by Vasquez |
7.8 | 8.6 | 6.3 |
6.6 | 10.9 | 8.1 |
10.7/ | 11.1 | 10.7 |
10.8 | 9.2 | 11.6 |
9.3 | ||
10.2 |
(b) Find
SSTOT, SSBET, and SSW
and check that
SSTOT = SSBET + SSW.
(Round your answers to three decimal places.)
SSTOT |
= | |
SSBET |
= | |
SSW |
= |
Find
d.f.BET, d.f.W, MSBET, and MSW.
(Round your answers to three decimal places.)
d.f.BET |
= | |
d.f.W |
= | |
MSBET |
= | |
MSW |
= |
Find the value of the sample F statistic. (Round your
answers to three decimal places.)
What are the degrees of freedom?
(numerator)=
(denominator)=
(f) Make a summary table for your ANOVA test. (Round your answers to three decimal places.)
Source of Variation |
Sum of Squares |
Degrees of Freedom |
MS | F Ratio |
P-Value | Test Decision |
Between groups | ---Select--- P-value > 0.100 0.050 < P-value < 0.100 0.025 < P-value < 0.050 0.010 < P-value < 0.025 0.001 < P-value < 0.010 P-value < 0.001 | ---Select--- Do not reject H0. Reject H0. | ||||
Within groups | ||||||
Total |
Adams | McDale | Vasquez | Total | |
Sum | 55.4 | 39.8 | 36.7 | 131.9 |
Count | 6 | 4 | 4 | 14 |
Mean, Sum/n | 9.233333 | 9.95 | 9.175 | |
Sum of square, Ʃ(xᵢ-x̅)² | 14.53333 | 4.61 | 17.6275 |
b)
SS(between) = (Sum1)²/n1 + (Sum2)²/n2 + (Sum3)²/n3 - (Grand Sum)²/ N = 1.573
SS(within) = SS1 + SS2 + SS3 = 36.771
SS(total) = SS(between) + SS(within) = 38.344
Number of treatment, k = 3
Total sample Size, N = 14
df(between) = k-1 = 2
df(within) = N-k = 11
df(total) = N-1 = 13
MS(between) = SS(between)/df(between) = 0.786
MS(within) = SS(within)/df(within) = 3.343
F = MS(between)/MS(within) = 0.235
--
df(numerator) = 2
df(denominator) = 11
p-value = F.DIST.RT(0.2352, 2, 11) = 0.7943
--
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | Test decision |
Between Groups | 1.573 | 2 | 0.786 | 0.235 | P-value > 0.100 | Do not reject |
Within Groups | 36.771 | 11 | 3.343 | |||
Total | 38.344 | 13 |