How productive are U.S. workers? One way to answer this question is to study annual profits per employee. A random sample of companies in computers (I), aerospace (II), heavy equipment (III), and broadcasting (IV) gave the following data regarding annual profits per employee (units in thousands of dollars).
I | II | III | IV |
27.3 | 13.6 | 22.9 | 17.2 |
23.8 | 9.1 | 20.6 | 16.1 |
14.1 | 11.3 | 7.3 | 14.3 |
8.9 | 8.6 | 12.4 | 15.5 |
11.9 | 6.6 | 7.6 | 10.5 |
19.7 | 9.9 |
Shall we reject or not reject the claim that there is no difference in population mean annual profits per employee in each of the four types of companies? Use a 5% level of significance.
(a) What is the level of significance?
State the null and alternate hypotheses (from the following).
Ho: μ1 = μ2 = μ3 = μ4; H1: Not all the means are equal.
Ho: μ1 = μ2 = μ3 = μ4; H1: Exactly three means are equal.
Ho: μ1 = μ2 = μ3 = μ4; H1: Exactly two means are equal.
Ho: μ1 = μ2 = μ3 = μ4; H1: All four means are different.
(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.
(d) Based on your answers in parts (a) to (c), will you reject
or fail to reject the null hypothesis?
(e) Interpret your conclusion in the context of the
application.
(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 from the following--- 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 from the following--- Do not reject H0. -- Reject H0. | ||||
Within groups | ||||||
Total |
a)
level of significance =0.05
Ho: μ1 = μ2 = μ3 = μ4; H1: Not all the means are equal.
b)
SSTOT | 708.395 |
SSBET | 89.306 |
SSW | 619.089 |
dfBET | 3 |
dfW | 18 |
MSBET | 29.769 |
MSW | 34.394 |
value of test statistic for factor A = | 0.87 |
df(numerator) = | 3 | |
df(Denominator) = | 18 |
c)
p value =0.4770
d) r fail to reject the null hypothesis
e)can not conclude that population means are not equal
f)
Source | SS | df | MS | F | P value |
Between | 89.306 | 3 | 29.769 | 0.866 | 0.4770 |
Within | 619.089 | 18 | 34.394 | ||
Total | 708.395 | 21 |
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