A random sample of companies in electric utilities (I), financial services (II), and food processing (III) gave the following information regarding annual profits per employee (units in thousands of dollars).
I | II | III |
49.4 | 55.3 | 38.7 |
43.7 | 24.7 | 37.7 |
32.6 | 41.3 | 10.7 |
27.5 | 29.8 | 32.8 |
38.1 | 39.1 | 15.5 |
36.7 | 42.1 | |
20.8 |
Shall we reject or not reject the claim that there is no difference in population mean annual profits per employee in each of the three types of companies? Use a 1% level of significance.
(b) Find SSTOT, SSBET, and
SSW and check that SSTOT =
SSBET + SSW. (Use 3 decimal places.)
SSTOT | = | |
SSBET | = | |
SSW | = |
Find d.f.BET, d.f.W,
MSBET, and MSW. (Use 3 decimal
places for MSBET, and
MSW.)
dfBET | = | |
dfW | = | |
MSBET | = | |
MSW | = |
Find the value of the sample F statistic. (Use 3 decimal
places.)
What are the degrees of freedom?
(numerator)
(denominator)
(c) Find the P-value of the sample test statistic.
P-value > 0.1000.050 < P-value < 0.100 0.025 < P-value < 0.0500.010 < P-value < 0.0250.001 < P-value < 0.010P-value < 0.001
(f) Make a summary table for your ANOVA test.
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 |
Appplying regression:
b)
SSTOT | = | 2,197.765 |
SSBET | = | 214.188 |
SSW | = | 1,983.577 |
dfBET | = | 2 |
dfW | = | 15 |
MSBET | = | 107.094 |
MSW | = | 132.238 |
value of the sample F statistic =0.810
degrees of freedom (numerator)=2
degrees of freedom (Denominator)=15
c) P-value > 0.100
f)
Source of Variation | SS | df | MS | F | P-value | test decision |
Between Groups | 214.188 | 2 | 107.094 | 0.810 | 0.4635 | Do not reject Ho |
Within Groups | 1983.577 | 15 | 132.238 | |||
Total | 2197.765 | 17 |
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