Use the following to answer the next question. Do government employees take longer coffee breaks than private sector workers? That is a question that interested a management consultant. To examine the issue, he took a random sample of ten government employees and another random sample of ten private sector workers and measured the amount of time (in minutes) they spent in coffee breaks during the day (the samples are assumed to be independent).
PS: Relevant outputs are given below; please refer to them in order to answer the following questions.
Variable 1: Government Employees
Variable 2: Private Sector Employees
F-Test Two-Sample for Variances |
||
Variable 1 |
Variable 2 |
|
Mean |
27.2 |
21.5 |
Variance |
29.28888889 |
13.16666667 |
Observations |
10 |
10 |
df |
9 |
9 |
F |
2.224472574 |
|
P(F<=f) one-tail |
0.124675612 |
|
F Critical one-tail |
3.178893104 |
t-Test: Two-Sample Assuming Equal Variances |
||
Variable 1 |
Variable 2 |
|
Mean |
27.2 |
21.5 |
Variance |
29.28888889 |
13.16666667 |
Observations |
10 |
10 |
Pooled Variance |
21.22777778 |
|
Hypothesized Mean Difference |
0 |
|
df |
? |
|
t Stat |
? |
|
P(T<=t) one-tail |
? |
|
t Critical one-tail |
? |
|
P(T<=t) two-tail |
? |
|
t Critical two-tail |
? |
t-Test: Two-Sample Assuming Unequal Variances |
||
Variable 1 |
Variable 2 |
|
Mean |
27.2 |
21.5 |
Variance |
29.28888889 |
13.16666667 |
Observations |
10 |
10 |
Hypothesized Mean Difference |
0 |
|
df |
16 |
|
t Stat |
? |
|
P(T<=t) one-tail |
? |
|
t Critical one-tail |
? |
|
P(T<=t) two-tail |
? |
|
t Critical two-tail |
? |
t-Test: Paired Two Sample for Means |
||
Variable 1 |
Variable 2 |
|
Mean |
27.2 |
21.5 |
Variance |
29.28888889 |
13.16666667 |
Observations |
10 |
10 |
Pearson Correlation |
0.226322699 |
|
Hypothesized Mean Difference |
0 |
|
df |
? |
|
t Stat |
3.11 |
|
P(T<=t) one-tail |
? |
|
t Critical one-tail |
? |
|
P(T<=t) two-tail |
? |
|
t Critical two-tail |
? |
Do the data provide sufficient evidence at the 5% significance level to support the consultant’s claim? State the null and alternative hypotheses.
a) H0: µ(government) - µ(private) = 0, Ha: µ(government) - µ(private) < 0
b)H0: µ(government) - µ(private) = 0, Ha: µ(government) - µ(private) > 0
c)H0: µ(government) - µ(private) = 0, Ha: µ(government) - µ(private) ≠ 0
d)H0: µ(government) - µ(private) ≠ 0, Ha: µ(government) - µ(private) = 0
b)H0: µ(government) - µ(private) = 0, Ha: µ(government) - µ(private) > 0
1 | 2 | |
27.2 | 21.5 | mean |
5.411931263 | 3.628636107 | std. dev. |
10 | 10 | n |
18 | df | |
5.7000 | difference (1 - 2) | |
21.2280 | pooled variance | |
4.6074 | pooled std. dev. | |
2.0605 | standard error of difference | |
0 | hypothesized difference | |
2.766 | t | |
.0064 | p-value (one-tailed, upper) |
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