HMGT 400 Research and Data Analysis in Health Care-Exercise
Dataset:HMGTHOSP.csv (Please download dataset from the class.)
Required program: for all weeks EXCEL (RStudio or R Programming for BONUS point seekers only).
Author, Hossein Zare, PhD
Citation: Zare, H. (2017). HMGT 400 Research and Data Analysis in Health Care-Exercise. UMGC.EDU
**For each exercise, Master RStudio relevant materials are posted (See the mini-module RStudio: Working toward the BONUS points
Copy Exercise # 1 from below or download the file for all week exercise from here: All Exercises HMGT 400.docx
Exercise # 1:
The attached dataset provides some information about hospitals in 2011 and 2012. Download the data, analyze it, then complete the descriptive table below. Please use the following format to report your findings.
Table 1. Descriptive statistics between hospitals in 2011 & 2012
1. Hospital beds
2. Number of paid Employees
3. Number of non-paid Employees
4. Total hospital cost ($)
5. Total hospital revenue ($)
6. Available Medicare days
7. Available Medicaid days
8. Total Hospital Discharges
9. Medicare discharges
10. Medicaid discharges
Round mean and st.dev figures to nearest whole number. use 2 decimal places for p values.
Based on your findings, in which year did hospitals have better performance? Please write a short paragraph describing your findings. Make sure to attach the plotted information.
Use Excel for calculations (mandatory)
(BONUS points: Use Master RStudio script is available for this exercise, but you need to modify that for this analysis)
Download data from here: HMGT400HOSP
Download RStudio script from here:E1-Codes
Download RStudio script from here (If you were not able to load the DPLYR package use this scrip):E1-Codes-No-Dplyr
I did calculate the standard deviation and this is what I get for total hospital t-Test: Two-Sample Assuming Equal Variances 2011 2012 Mean 216873321.5 214748023 Variance 9.27633E+16 86520419759122800 304570722.2 294143536 Observations 1505 1525 Pooled Variance 8.96213E+16 Hypothesized Mean Difference 0 df 3028 t Stat 0.195387292 P(T<=t) one-tail 0.422551437 t Critical one-tail 1.645357008 P(T<=t) two-tail 0.845102874 t Critical two-tail 1.960747737
2012 Std —