In: Statistics and Probability
A Pew Research study conducted in 2017 found that approximately 75% of Americans believe that robots and computers might one day do many of the jobs currently done by people.† Suppose we have the following data collected from nurses, tax auditors, and fast-food workers in which a higher score means the person feels his or her job is more likely to be automated.
Nurse | Tax Auditor |
Fast-Food Worker |
---|---|---|
4 | 4 | 6 |
5 | 5 | 7 |
5 | 4 | 6 |
2 | 3 | 8 |
2 | 6 | 5 |
3 | 4 | 7 |
4 | 5 | 5 |
5 | 3 | 4 |
(a)
Use α = 0.05 to test for differences in the belief that a person's job is likely to be automated for the three professions.
State the null and alternative hypotheses.
H0: At least two of the population means are
equal.
Ha: At least two of the population means are
different.H0: μNurse =
μTax auditor = μFast-food
worker
Ha: Not all the population means are
equal. H0: Not all
the population means are equal.
Ha: μNurse =
μTax auditor = μFast-food
workerH0: μNurse =
μTax auditor = μFast-food
worker
Ha: μNurse ≠
μTax auditor ≠ μFast-food
workerH0: μNurse ≠
μTax auditor ≠ μFast-food
worker
Ha: μNurse =
μTax auditor = μFast-food
worker
Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to three decimal places.)
p-value =
State your conclusion.
Reject H0. There is sufficient evidence to conclude that there is a difference in mean scores for the three professions.Do not reject H0. There is not sufficient evidence to conclude that there is a difference in mean scores for the three professions. Do not reject H0. There is sufficient evidence to conclude that there is a difference in mean scores for the three professions.Reject H0. There is not sufficient evidence to conclude that there is a difference in mean scores for the three professions.
(b)
Use Fisher's LSD procedure to compare the belief that a person's job will be automated for nurses and tax auditors. (Use α = 0.05.)
Find the value of LSD. (Round your answer to two decimal places.)
LSD =
Find the pairwise absolute difference between sample means for nurses and tax auditors.
xNurse − xTax auditor
=
What conclusion can you draw after carrying out this test?
There is a significant difference between the means for nurses and tax auditors.There is not a significant difference between the means for nurses and tax auditors.
Nurse |
Tax Auditor |
Fast-Food Worker |
|
4 | 4 | 6 | |
5 | 5 | 7 | |
5 | 4 | 6 | |
2 | 3 | 8 | |
2 | 6 | 5 | |
3 | 4 | 7 | |
4 | 5 | 5 | |
5 | 3 | 4 | |
Total(yi) | 30 | 34 | 48 |
Averages y̅i | 3.75 | 4.25 | 6 |
Treatment Effect | 3.75 - 4.6667 = -0.9167 | 4.25 - 4.6667 = -0.4167 | 6 - 4.6667 = 1.3333 |
Sum of Squares | Degree of freedom | Mean Square | F0 = MST / MSE | P value | |
Treatment | 22.3333 | 2 | 11.1666 | 7.5644 | 0.0034 |
Error | 31 | 21 | 1.4762 | ||
Total | 53.3333 | 23 |
Overall total = 112
Overall mean Y̅.. = 112 / 24 = 4.6667
Y̅ .. is overall mean
y̅i . is treatment mean
SS total = ΣΣ(Yij - & Y̅..)2 = 53.3333
SS treatment = ΣΣ(Yij - & y̅i.)2 = 22.3333
SS error = Σ(y̅i. - & Y̅..)2 = 31
MS treatment = ΣΣ(Yij - & y̅i.)2 / a - 1 = 11.1666
MS error = Σ(y̅i. - & Y̅..)2 / N - a = 1.4762
Part a)
H0: μNurse = μTax auditor = μFast-food worker
Ha: Not all the population means are equal.
Test Statistic :-
f = MS treatment / MS error = 7.5644
P value = 0.003
Decision based on P value
Reject null hypothesis if P value < α = 0.05
Since P value = 0.0034 < 0.05, hence we reject the null
hypothesis
Conclusion :- Treatment means
differs
Reject H0. There is sufficient evidence to conclude
that there is a difference in mean scores for the three
professions.
Part b)
Fisher's Least significant Difference ( LSD Method )
The pair of means µi. and µj. would be declared significantly
different if
> LSD
t(α/2 , N-a ) = 2.0796 ( Critical value from t table )
LSD =
= 1.26 Since the design is balanced n1 = n1 = n3
= n
= | 3.75 - 4.25 | = 0.5
Since | 3.75 - 4.25 | < 1.2634, we conclude that the population means µ1. and µ2. does not differ.
There is not a significant difference between the means for nurses and tax auditors.