# of Patients | ||
Year | ||
Month | 2015 | 2016 |
1 | 4825 | 5262 |
2 | 4752 | 5435 |
3 | 4948 | 5481 |
4 | 5041 | 6081 |
5 | 5300 | 5936 |
6 | 5232 | 5627 |
7 | 5151 | 5856 |
8 | 5585 | 5763 |
9 | 5520 | 5924 |
10 | 5136 | 5787 |
11 | 5077 | 5474 |
12 | 5300 | 5699 |
2. You now think that there may be differences in the demand for emergency room services depending on the day of the week. | |||||||||||
In order to correctly staff your emergency room, you decide to look at trends by day of the week. | |||||||||||
You gather the data by day of week instead of monthly. | |||||||||||
Question: Is there a difference in the average number of patients being seen in the emergency room by day of week? | |||||||||||
a. What is the most appropriate test to statistically test this hypothesis? Why? | |||||||||||
b. State your null and alternative hypothesis in words and symbols. | |||||||||||
H0: | |||||||||||
Ha: | |||||||||||
H0: | |||||||||||
Ha: |
# of Patients Year Month 2015 2016 1 4825 5262 2 4752 5435 3 4948 5481 4 5041 6081 ...
1. You want to go to your boss and ask for additional staff in your emergency room. You have noticed an increase in patients in the ER since the previous year. You collect data by month for the two years to compare. Assume that the number of patients are normally distributed. d. You set your level of significance at alpha = 0.05 and determine your t-critical value of 2.074 since you are decided to conduct a independent samples t-test. What...