## Fundamentals of Statistics in Health AdministrationFundamentals of Statistics in Health Administration fills the needs of both students and practicing health care managers who must apply statistical concepts and methods to real world health care management problems and issues. It covers the fundamentals of statistics in a user-friendly way, with a strong emphasis on practical application in health administration. The text is highly structured with step-by-step instructions throughout. There is an emphasis on Excel and other commonly used programs, although manual calculations are given careful attention as well. |

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Covers essential fundamentals in a user-friendly

way with a strong emphasis on practical

application of statistics in health administration.

The text is highly structured with step by stepinstructions throughout. There is an emphasis on

Excel and other commonly used programs but

manual calculations are given careful attention as

well.

### Contents

Introduction to Statistics | 1 |

The Presentation of Data | 15 |

The Distribution and Its Properties | 35 |

The Fundamentals of Probability | 65 |

Inferences Concerning the Mean | 118 |

Introduction to Hypotheses and Related Risks | 127 |

Presumed Values of the True Mean | 135 |

Contrasts Involving Two Means | 142 |

Tests of Independence or Relationship | 174 |

Analysis of Variance | 183 |

TwoWay or TwoFactor ANOVA | 193 |

Covariance | 211 |

Multiple Regression Analysis | 251 |

Introduction to Forecasting | 281 |

Appendix A Glossary of Terms | 309 |

Appendix B An Introduction to Excel | 326 |

### Common terms and phrases

alternate hypothesis ANOVA approximately arithmetic mean assume binomial probability distribution calculated value chart clinics coefficient of determination column committing a Type conditional probability confidence interval corresponding cost covariation critical value defined degrees of freedom dependent variable derived diagnoses difference Equation evaluate examine example Excel Exhibit finite population forecast frequency distribution function given health administrator health service organization homoscedasticity hospital identified indicates inferential statistics interested length of stay less line of average measure median multiple null and alternate null hypothesis number of observations number of visits obtained P-Value parameter patients probability distribution probability of committing procedures proportion ratio regression analysis reject the null relative frequency sample space sampling distribution selected set of data skewness squared deviations squared error terms SS(ERROR SS(REG standard deviation standard error standard normal deviate statistical sum of squared suppose Table tion treatment effects Type I error value of F whereas zero