Preface | |
Acknowledgments | |
The Authors | |
Statistics and Excel | |
How This Book Differs from Other Statistics Texts | |
Statistical Applications in Health Policy and Health Administration | |
Exercises for Section 1.2 | |
What Is the "Big Picture"? | |
Some Initial Definitions | |
Exercises for Section 1.4 | |
Five Statistical Tests | |
Exercises for Section 1.5 | |
Key Terms | |
Excel as a Statistical Tool | |
The Basics | |
Exercises for Section 2.1 | |
Working and Moving Around in a Spreadsheet | |
Exercises for Section 2.2 | |
Excel Functions | |
Exercises for Section 2.3 | |
The =IF() Function | |
Exercises for Section 2.4 | |
Excel Graphs | |
Exercises for Section 2.5 | |
Sorting a String of Data | |
Exercise for Section 2.6 | |
The Data Analysis Pack | |
Functions That Give Results in More Than One Cell | |
Exercises for Section 2.8 | |
The Dollar Sign ($) Convention for Cell References | |
Key Terms | |
Data Acquisition: Sampling and Data Preparation | |
The Nature of Data | |
Exercises for Section 3.1 | |
Sampling | |
Exercises for Section 3.2 | |
Data Access and Preparation | |
Exercises for Section 3.3 | |
Missing Data | |
Key Terms | |
Data Display: Descriptive Presentation, Excel Graphing Capability | |
The =FREQUENCY() Function | |
Exercises for Section 4.1 | |
Using the Pivot Table to Generate Frequencies of Categorical Variables | |
Exercises for Section 4.2 | |
A Logical Extension of the Pivot Table: Two Variables | |
Exercises for Section 4.3 | |
Appendix: Using Excel 2007 to Generate Pivot Tables with One Variable | |
Key Terms | |
Basic Concepts of Probability | |
Some Initial Concepts and Definitions | |
Exercises for Section 5.1 | |
Marginal Probabilities, Joint Probabilities, and Conditional Probabilities | |
Exercises for Section 5.2 | |
Binomial Probability | |
Exercises for Section 5.3 | |
The Poisson Distribution | |
Exercises for Section 5.4 | |
The Normal Distribution | |
Key Terms | |
Measures of Central Tendency and Dispersion: Data Distributions | |
Measures of Central Tendency and Dispersion | |
Exercises for Section 6.1 | |
The Distribution of Frequencies | |
Exercises for Section 6.2 | |
The Sampling Distribution of the Mean | |
Exercises for Section 6.3 | |
Mean and Standard Deviation of a Discrete Numerical Variable | |
Exercises for Section 6.4 | |
The Distribution of a Proportion | |
Exercises for Section 6.5 | |
The t Distribution | |
Exercises for Section 6.6 | |
Key Terms | |
Confidence Limits and Hypothesis Testing | |
What Is a Confidence Interval? | |
Exercises for Section 7.1 | |
Calculating Confidence Limits for Multiple Samples | |
Exercises for Section 7.2 | |
What Is Hypothesis Testing? | |
Exercises for Section 7.3 | |
Type I and Type II Errors | |
Exercises for Section 7.4 | |
Selecting Sample Sizes | |
Exercises for Section 7.5 | |
Key Terms | |
Statistical Tests for Categorical Data | |
Independence of Two Variables | |
Exercises for Section 8.1 | |
Examples of Chi-Square Analyses | |
Exercises for Section 8.2 | |
Small Expected Values in Cells | |
Exercises for Section 8.3 | |
Key Terms | |
Tests for Related and Unrelated Data | |
What Is a t Test? | |
Exercises for Section 9.1 | |
A t Test for Comparing Two Groups | |
Exercises for Section 9.2 | |
A t Test for Related Data | |
Exercises for Section 9.3 | |
Key Terms | |
Analysis of Variance | |
One-Way Analysis of Variance | |
Exercises for Section 10.1 | |
ANOVA for Repeated Measures | |
Exercises for Section 10.2 | |
Factorial Analysis of Variance | |
Exercises for Section 10.3 | |
Key Terms | |
Simple Linear Regression | |
Meaning and Calculation of Linear Regression | |
Exercises for Section 11.1 | |
Testing the Hypothesis of Independence | |
Exercises for Section 11.2 | |
The Excel Regression Add-In | |
Exercises for Section 11.3 | |
The Importance of Examining the Scatterplot | |
The Relationship Between Regression and the t Test | |
Exercises for Section 11.5 | |
Key Terms | |
Multiple Regression: Concepts and Calculation | |
Introduction | |
Exercises for Section 12.1 | |
Multiple Regression and Matrices | |
Exercises for Section 12.2 | |
Key Terms | |
Extensions of Multiple Regression | |
Dummy Variables in Multiple Regression | |
Exercises for Section 13.1 | |
The Best Regression Model | |
Exercises for Section 13.2 | |
Correlation and Multicolinearity | |
Exercises for Section 13.3 | |
Nonlinear Relationships | |
Exercises for Section 13.4 | |
Key Terms | |
Analysis with a Dichotomous Categorical Dependent Variable | |
Introduction to the Dichotomous Dependent Variable | |
An Example with a Dichotomous Dependent Variable: Traditional Treatments | |
Exercises for Section 14.2 | |
Logit for Estimating Dichotomous Dependent Variables | |
Exercises for Section 14.3 | |
A Comparison of Ordinary Least Squares, Weighted Least Squares, and Logit | |
Exercises for Section 14.4 | |
Key Terms | |
Glossary | |
References | |
Index | |
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