Question: Answer this questions. and how to prepare the excel file. And how to get the answers. please explain step by step. For questions 1) -
Answer this questions. and how to prepare the excel file. And how to get the answers. please explain step by step. For questions 1) - 3), you will provide a research hypothesis, null hypothesis, and appropriate variables. The HAD 518 Inferential Statistics Information Guide may be of assistance to you.
1)
Given the data you have and the belief that a difference exists in the average wait time to register before and after implementation of the Patient Concierge program, you could use a paired t-test to explore the relationship between two variables.
- state an appropriate null and alternative hypothesis (3 pts. each)
H0:
HA:
- what are the variables you would use from the data file? (3 pts. each)
IV =
DV =
2)
Given the data you have and the belief that a difference exists in the average wait time from registration to time called for a test based on department, you could use a one-way ANOVA test to explore the relationship between two variables.
- state an appropriate null and alternative hypothesis (3 pts. each)
H0:
HA:
- what are the variables you would use from the data file? (3 pts. each)
IV =
DV =
3)
Given the data you have and the belief that the average wait time to register without the implementation of the Patient Concierge program is different than the average wait time to register with the implementation of the Patient Concierge program, you could use an independent t-test (sometimes called a two-sample t-test) to explore the relationship between two variables.
- state an appropriate null and alternative hypothesis (3 pts. each)
H0:
HA:
- what are the variables you would use from the data file? (3 pts. each)
IV =
DV =
| Time to | Register to | Total | ||||
| Month | Year | Concierge | Dept. | Register | Test | Wait |
| 7 | 2015 | Y | Lab | 15 | 15 | 30 |
| 11 | 2014 | N | MRI | 19 | 12 | 31 |
| 12 | 2015 | Y | Lab | 22 | 7 | 29 |
| 3 | 2015 | Y | X-ray | 23 | 9 | 32 |
| 8 | 2012 | N | X-ray | 36 | 4 | 40 |
| 4 | 2013 | N | MRI | 30 | 3 | 33 |
| 10 | 2014 | N | MRI | 29 | 9 | 38 |
| 11 | 2014 | N | X-ray | 32 | 12 | 44 |
| 9 | 2016 | Y | X-ray | 18 | 7 | 25 |
| 4 | 2016 | Y | Lab | 19 | 14 | 33 |
| 12 | 2011 | N | Lab | 18 | 3 | 21 |
| 7 | 2015 | Y | X-ray | 21 | 12 | 33 |
| 8 | 2011 | N | X-ray | 37 | 10 | 47 |
| 10 | 2013 | N | X-ray | 27 | 15 | 42 |
| 2 | 2014 | N | CT Scan | 23 | 8 | 31 |
| 11 | 2014 | N | Lab | 26 | 1 | 27 |
| 7 | 2016 | Y | CT Scan | 16 | 8 | 24 |
| 8 | 2016 | Y | MRI | 5 | 5 | 10 |
| 4 | 2016 | Y | CT Scan | 24 | 13 | 37 |
| 10 | 2012 | N | Lab | 39 | 14 | 53 |
| 8 | 2013 | N | MRI | 22 | 7 | 29 |
| 12 | 2011 | N | CT Scan | 29 | 6 | 35 |
| 1 | 2014 | N | CT Scan | 24 | 11 | 35 |
| 1 | 2013 | N | CT Scan | 30 | 3 | 33 |
| 8 | 2016 | Y | X-ray | 22 | 4 | 26 |
| 2 | 2014 | N | Lab | 25 | 10 | 35 |
| 1 | 2012 | N | CT Scan | 37 | 7 | 44 |
| 6 | 2011 | N | CT Scan | 32 | 1 | 33 |
| 1 | 2014 | N | CT Scan | 25 | 2 | 27 |
| 4 | 2015 | Y | X-ray | 4 | 13 | 17 |
| 2 | 2016 | Y | Lab | 12 | 2 | 14 |
| 8 | 2016 | Y | Lab | 25 | 4 | 29 |
| 1 | 2015 | Y | Lab | 23 | 15 | 38 |
| 12 | 2015 | Y | Lab | 15 | 11 | 26 |
| 2 | 2015 | Y | X-ray | 22 | 3 | 25 |
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