Statistics for Health Care Management and Administration: Working with Excel, 3rd Edition

The must-have statistics guide for students of health services

Statistics for Health Care Management and Administration is a unique and invaluable resource for students of health care administration and public health. The book introduces students to statistics within the context of health care, focusing on the major data and analysis techniques used in the field. All hands-on instruction makes use of Excel, the most common spreadsheet software that is ubiquitous in the workplace. This new third edition has been completely retooled, with new content on proportions, ANOVA, linear regression, chi-squares, and more, Step-by-step instructions in the latest version of Excel and numerous annotated screen shots make examples easy to follow and understand.

Familiarity with statistical methods is essential for health services professionals and researchers, who must understand how to acquire, handle, and analyze data. This book not only helps students develop the necessary data analysis skills, but it also boosts familiarity with important software that employers will be looking for.

• Learn the basics of statistics in the context of Excel
• Understand how to acquire data and display it for analysis
• Master various tests including probability, regression, and more
• Turn test results into usable information with proper analysis

Statistics for Health Care Management and Administration gets students off to a great start by introducing statistics in the workplace context from the very beginning.

Table of Contents

Chapter 1 Statistics And Excel
Chapter 2 Excel As A Statistical Tool
Chapter 3 Data Acquisition: Sampling And Data Preparation
Chapter 4 Data Display: Descriptive Presentation, Excel Graphing Capability
Chapter 5 Basic Concepts Of Probability
Chapter 6 Measures Of Central Tendency And Dispersion: Data Distributions
Chapter 7 Confidence Limits And Hypothesis Testing
Chapter 8 Statistical Tests For Categorical Data
Chapter 9 T Tests For Related And Unrelated Data
Chapter 10 Analysis Of Variance
Chapter 11 Simple Linear Regression
Chapter 12 Multiple Regression: Concepts And Calculation
Chapter 13 Extensions Of Multiple Regression
Chapter 14 Analysis With A Dichotomous Categorical Dependent Variable
Appendix A: Multiple Regression and Matrices