How to solve

HMGT 400 UMGC Research and Data Analysis in Health Care-Exercise Worksheet

Nursing Assignment Help

Introduction:
In this exercise for the HMGT 400 Research and Data Analysis in Health Care course, students are required to work with a dataset and analyze it using Excel. The dataset, HMGTHOSP.csv, contains information about teaching and non-teaching hospitals. The exercise consists of five questions that focus on comparing information between teaching and non-teaching hospitals, performing t-tests, creating box plots, and describing findings for managerial decision-making. Students are also encouraged to use RStudio or R Programming for bonus points.

Answer to Content:
Question 1: Compare the following information between teaching and non-teaching hospitals.

To compare the information between teaching and non-teaching hospitals, students should analyze the dataset and identify the variables or characteristics that are relevant for comparison. These variables can include the number of hospital beds, the number of paid employees, the number of non-paid employees, interns and residents, system membership, total hospital cost, total hospital revenues, hospital net benefit, available Medicare days, available Medicaid days, total hospital discharge, Medicare discharge, and Medicaid discharge.

Students can calculate measures of central tendency (e.g., mean) and measures of dispersion (e.g., standard deviation) for each variable for both teaching and non-teaching hospitals. They should then compare the values for each variable between the two types of hospitals to identify any significant differences or similarities.

Question 2: What are the main significant differences between teaching and non-teaching hospitals? (use t-test)

To identify the main significant differences between teaching and non-teaching hospitals, students should perform t-tests on the variables of interest. The t-test will determine if there is a statistically significant difference in the means of these variables between the two types of hospitals.

Students can conduct independent samples t-tests using the appropriate statistical software (Excel, RStudio, or R Programming) to compare the means of the variables between teaching and non-teaching hospitals. The t-test results will provide insights into which variables show significant differences between the two types of hospitals.

Question 3: Comparing hospital net benefit, which hospital has better performance? To answer this question, first compute the hospital net benefits by subtracting hospital costs and revenues, and then use a t-test to compare the significant differences between teaching and non-teaching hospitals.

To determine which hospital has better performance in terms of net benefit, students should compute the hospital net benefits for both teaching and non-teaching hospitals. This can be done by subtracting the total hospital costs from the total hospital revenues.

Once the net benefits have been calculated, students can perform a t-test to compare the significant differences between teaching and non-teaching hospitals. The t-test will indicate if there is a statistically significant difference in the net benefits between the two types of hospitals, thereby helping to determine which hospital has better performance.

Question 4: Use a box plot and compare hospital costs and hospital revenues between teaching and non-teaching hospitals.

To compare hospital costs and hospital revenues between teaching and non-teaching hospitals, students should create box plots for these variables separately for each type of hospital.

Students can use the dataset to extract the necessary information for hospital costs and hospital revenues for both teaching and non-teaching hospitals. Then, by using Excel or any statistical software that allows for the creation of box plots, students can visually compare the distributions and ranges of the two variables between the two types of hospitals.

Question 5: Write a short paragraph and describe your findings and their importance for managerial decision-making. List a specific managerial function and the way the processed data will be used to meet the managerial objectives.

Based on the analysis of the dataset, students should write a short paragraph describing their findings and discussing their importance for managerial decision-making in the healthcare context.

For example, if the t-tests indicate significant differences between teaching and non-teaching hospitals in terms of certain variables like the number of hospital beds or total hospital revenues, this information can be crucial for healthcare managers when making decisions regarding resource allocation, staffing, or financial planning.

A specific managerial function that can be relevant in this context is strategic planning. The processed data, along with the findings, can enable managers to identify areas where improvements are needed or where resources should be allocated more effectively. This information can then be used to develop strategies and action plans that align with the organizational goals and mission, ultimately leading to better decision-making and improved healthcare services.