Descriptive statistics for business analysis

Competencies

In this project, you will demonstrate your mastery of the following competencies:

• Use descriptive statistics for business analysis
• Perform regression analysis to address an authentic problem
• Apply statistics in the business environment

Overview

You have been hired as a consultant by a large hospital chain. As part of its expansion plan, the organization wants to open a new hospital in a small- to medium-sized town (with a population of 10,000–50,000). Previously, senior management hired a market research firm to do an initial feasibility analysis. The firm presented the management team with two options:

• Option A: Open a small facility of 90–100 beds.
• Option B: Open a medium-sized facility of 300–350 beds.

The hospital’s vice president of operations and finance has tasked you with doing an in-depth analysis to determine which of the two options will be the most profitable, given the expense range of $55–$75 million. The hospital has provided you with a data set that contains data about admissions, personnel, and hospital beds, and attributes of the data such as outpatient visits, births, total expense, and census information.

PromptPart 1: Data Analysis Workbook

Analyze the data from the provided Hospital Data Set (linked below) and identify current and future trends and patterns in operations.

1. Descriptive Analysis: Open a new Excel file and title it Data Analysis Workbook. In the workbook, create a sheet titled P1_Descriptive Analysis. Present descriptive statistics (mean, median, standard deviation, and range) in a table for four attributes from the data set.
2. Analyze the current hospital data to identify trends and patterns in hospital admissions and costs.
3. Outliers: Identify any outliers that you see and explain how they have an impact on the overall admission and expense trends. Outliers are the data points that can have an impact on your averages and basic descriptive analysis.
4. Identify future trends and attributes that impact expenses and admissions by adding new sheets to your Data Analysis Workbook per the descriptions below.
   1. Perform two bivariate regressions to provide recommendations.
      1. For the first bivariate regression, the dependent variable should be Total Expense. Choose an independent variable from one of the remaining attributes.
      2. Create a sheet titled P2_1st_Bivariate_Regression in your Data Analysis Workbook.
      3. For the second bivariate regression, the dependent variable should be Admissions. Choose an independent variable from one of the remaining variables.
      4. Create a sheet titled P2_2nd_Bivariate_Regression in your Data Analysis Workbook.
      5. What would be the right attribute size (independent variable) seems most appropriate to lead you in the expense range of $55–$75 million?
   2. Perform two multivariate regressions to provide recommendations.
      1. For the first multivariate regression, the dependent variable should be Total Expense (the column in the data set). Choose two independent variables from one of the remaining attributes.
      2. Within your Data Analysis Workbook, create a sheet titled P2_1st_Multi_Regression.
      3. Which combination of the attributes seems most appropriate to lead you in the expense range of $55–$75 million?
      4. For the second multivariate regression, the dependent variable should be Admissions (the column name in the data set). You should choose two independent variables from one of the remaining attributes.
      5. Within your Data Analysis Workbook, create a sheet titled P2_2nd_Multi_Regression.
      6. Which combination of the attributes would seem appropriate that would lead you in the expense range of $55–$75 million?

Part 2: Final Recommendation Analysis PowerPoint Presentation

Create a presentation designed for senior management and the board of directors to share the results of your analysis and provide your final recommendation.

Guidelines for Submission

To complete this project, you must submit the following:

Supporting Materials

The following resources support your work on the project:

Data Set: Hospital Data Set

Use the following two sheets:

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