In: Statistics and Probability
Question 15
According to a union agreement, the mean income for all senior-level workers in a large service company equals $500 per week. A representative of a women's group decides to analyze whether the mean income for female employees matches this norm. The data for a random sample of 9 female employees are given below:
337, 412, 508, 455, 481, 523, 396, 368, 408
Test, at significance level 0.05, that the mean income for all female employees in this company is not different from $500.
The test is a
Question 15 options:
One-sample t test |
|
one-sample z test |
|
two-sample t test |
|
two-sample z test |
Question 16
According to a union agreement, the mean income for all senior-level workers in a large service company equals $500 per week. A representative of a women's group decides to analyze whether the mean income for female employees matches this norm. The data for a random sample of 9 female employees are given below:
337, 412, 508, 455, 481, 523, 396, 368, 408
Test, at significance level 0.05, that the mean income for all female employees in this company is not different from $500.
The value of the test statistic is
Question 16 options:
3.2065 |
|
2.8134 |
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-3.2065 |
|
-2.8134 |
Question 17
According to a union agreement, the mean income for all senior-level workers in a large service company equals $500 per week. A representative of a women's group decides to analyze whether the mean income for female employees matches this norm. The data for a random sample of 9 female employees are given below:
337, 412, 508, 455, 481, 523, 396, 368, 408
Test, at significance level 0.05, that the mean income for all female employees in this company is not different from $500.
The p-value is
Question 17 options:
0.0125 |
|
0.0250 |
|
0.9875 |
|
0.0062 |
Question 18
According to a union agreement, the mean income for all senior-level workers in a large service company equals $500 per week. A representative of a women's group decides to analyze whether the mean income for female employees matches this norm. The data for a random sample of 9 female employees are given below:
337, 412, 508, 455, 481, 523, 396, 368, 408
Test, at significance level 0.05, that the mean income for all female employees in this company is not different from $500.
We conclude that
Question 18 options:
the data provide sufficient evidence that the mean income for all female employees in this company is not different from $500. |
|
the data provide sufficient evidence that the mean income for all female employees in this company is different from $500. |
|
the data do not provide sufficient evidence that the mean income for all female employees in this company is not different from $500. |
|
the data do not provide sufficient evidence that the mean income for all female employees in this company is different from $500. |
Question 19
Two different methods for determining chlorine were used on samples of Cl$_2$-demand-free water for various doses and contact times. Observations shown below are in mg/L. Here are the data:
Subject Method.I Method.II
1 0.39
0.36
2 0.84
1.35
3 1.76
2.56
4 3.35
3.92
5 4.69
5.35
6 7.70
8.33
7 10.52 10.70
8 10.92 10.91
Test, at significance level 0.05, that there is a difference between the two methods.
The test is a
Question 19 options:
two-sample t test |
|
paired t test |
|
two-sample z test |
|
None of these |
Question 20
Two different methods for determining chlorine were used on samples of Cl$_2$-demand-free water for various doses and contact times. Observations shown below are in mg/L. Here are the data:
Subject Method.I Method.II
1 0.39
0.36
2 0.84
1.35
3 1.76
2.56
4 3.35
3.92
5 4.69
5.35
6 7.70
8.33
7 10.52 10.70
8 10.92 10.91
Test, at significance level 0.05, that there is a difference between the two methods.
The p-value of the test is
Question 20 options:
0.8457 |
|
0.0034 |
|
0.6626 |
|
0.008 |
Mean=432, SD=63.62, n=9
15)We need to conduct a 1 sample t test
17)pvalue=2*P(t<-3.2065,8dof)=0.0125
18)As value<0.05, we need to reject H0 and hence Ans-> "the data provide sufficient evidence that the mean income for all female employees in this company is different from $500."
19) as we are comparing groups and sample size<30, we need to conduct 2 sample t test
20)For this analysis, we need to take the difference between the two groups and find the mean and standard deviation. We need to find if the mean deviates from 0 or not
Mean=-0.41375, SD=0.32,n=8
pvalue=2*P(t<-3.6454,7dof)=0.0083