{"product_id":"statistics-for-health-care-management-and-administration-9781118712658","title":"Statistics for Health Care Management and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe 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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003eIntroducing Excel xiii\u003c\/p\u003e \u003cp\u003eSo How Did We Get to Here? xiii\u003c\/p\u003e \u003cp\u003eIntended Level of the Textbook xiv\u003c\/p\u003e \u003cp\u003eTextbook Organization xiv\u003c\/p\u003e \u003cp\u003eLeading by Example(s) xv\u003c\/p\u003e \u003cp\u003eAcknowledgments xvii\u003c\/p\u003e \u003cp\u003eThe Authors xix\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 1 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Statistics and Excel 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 How This Book Differs from Other Statistics Texts 3\u003c\/p\u003e \u003cp\u003e1.2 Statistical Applications in Health Policy and Health Administration 4\u003c\/p\u003e \u003cp\u003eExercises for Section 1.2 14\u003c\/p\u003e \u003cp\u003e1.3 What Is the ‘‘Big Picture’’? 15\u003c\/p\u003e \u003cp\u003e1.4 Some Initial Definitions 16\u003c\/p\u003e \u003cp\u003eExercises for Section 1.4 26\u003c\/p\u003e \u003cp\u003e1.5 Five Statistical Tests 28\u003c\/p\u003e \u003cp\u003eExercises for Section 1.5 30\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Excel as a Statistical Tool 33\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 The Basics 33\u003c\/p\u003e \u003cp\u003eExercises for Section 2.1 35\u003c\/p\u003e \u003cp\u003e2.2 Working and Moving Around in a Spreadsheet 36\u003c\/p\u003e \u003cp\u003eExercises for Section 2.2 41\u003c\/p\u003e \u003cp\u003e2.3 Excel Functions 41\u003c\/p\u003e \u003cp\u003eExercises for Section 2.3 46\u003c\/p\u003e \u003cp\u003e2.4 The =IF() Function 47\u003c\/p\u003e \u003cp\u003eExercises for Section 2.4 50\u003c\/p\u003e \u003cp\u003e2.5 Excel Graphs 51\u003c\/p\u003e \u003cp\u003eExercises for Section 2.5 56\u003c\/p\u003e \u003cp\u003e2.6 Sorting a String of Data 57\u003c\/p\u003e \u003cp\u003eExercise for Section 2.6 60\u003c\/p\u003e \u003cp\u003e2.7 The Data Analysis Pack 61\u003c\/p\u003e \u003cp\u003e2.8 Functions That Give Results in More than One Cell 63\u003c\/p\u003e \u003cp\u003eExercises for Section 2.8 66\u003c\/p\u003e \u003cp\u003e2.9 The Dollar Sign ($) Convention for Cell References 67\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Data Acquisition: Sampling and Data Preparation 71\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 The Nature of Data 71\u003c\/p\u003e \u003cp\u003eExercises for Section 3.1 78\u003c\/p\u003e \u003cp\u003e3.2 Sampling 79\u003c\/p\u003e \u003cp\u003eExercises for Section 3.2 93\u003c\/p\u003e \u003cp\u003e3.3 Data Access and Preparation 94\u003c\/p\u003e \u003cp\u003eExercises for Section 3.3 107\u003c\/p\u003e \u003cp\u003e3.4 Missing Data 108\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Data Display: Descriptive Presentation, Excel Graphing Capability 111\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Creating, Displaying, and Understanding Frequency Distributions 111\u003c\/p\u003e \u003cp\u003eExercises for Section 4.1 129\u003c\/p\u003e \u003cp\u003e4.2 Using the Pivot Table to Generate Frequencies of Categorical Variables131\u003c\/p\u003e \u003cp\u003eExercises for Section 4.2 135\u003c\/p\u003e \u003cp\u003e4.3 A Logical Extension of the Pivot Table: Two Variables 135\u003c\/p\u003e \u003cp\u003eExercises for Section 4.3 140\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Basic Concepts of Probability 141\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Some Initial Concepts and Definitions 141\u003c\/p\u003e \u003cp\u003eExercises for Section 5.1 150\u003c\/p\u003e \u003cp\u003e5.2 Marginal Probabilities, Joint Probabilities, and Conditional Probabilities 150\u003c\/p\u003e \u003cp\u003eExercises for Section 5.2 160\u003c\/p\u003e \u003cp\u003e5.3 Binomial Probability 161\u003c\/p\u003e \u003cp\u003eExercises for Section 5.3 171\u003c\/p\u003e \u003cp\u003e5.4 The Poisson Distribution 173\u003c\/p\u003e \u003cp\u003eExercises for Section 5.4 178\u003c\/p\u003e \u003cp\u003e5.5 The Normal Distribution 178\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Measures of Central Tendency and Dispersion: Data Distributions 183\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Measures of Central Tendency and Dispersion 183\u003c\/p\u003e \u003cp\u003eExercises for Section 6.1 196\u003c\/p\u003e \u003cp\u003e6.2 The Distribution of Frequencies 197\u003c\/p\u003e \u003cp\u003eExercises for Section 6.2 208\u003c\/p\u003e \u003cp\u003e6.3 The Sampling Distribution of the Mean 209\u003c\/p\u003e \u003cp\u003eExercises for Section 6.3 219\u003c\/p\u003e \u003cp\u003e6.4 Mean and Standard Deviation of a Discrete Numerical Variable 220\u003c\/p\u003e \u003cp\u003eExercises for Section 6.4 222\u003c\/p\u003e \u003cp\u003e6.5 The Distribution of a Proportion 222\u003c\/p\u003e \u003cp\u003eExercises for Section 6.5 227\u003c\/p\u003e \u003cp\u003e6.6 The t Distribution 227\u003c\/p\u003e \u003cp\u003eExercises for Section 6.6 232\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 2 235\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Confidence Limits and Hypothesis Testing 237\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 What Is a Confidence Interval? 237\u003c\/p\u003e \u003cp\u003eExercises for Section 7.1 243\u003c\/p\u003e \u003cp\u003e7.2 Calculating Confidence Limits for Multiple Samples 244\u003c\/p\u003e \u003cp\u003eExercises for Section 7.2 246\u003c\/p\u003e \u003cp\u003e7.3 What Is Hypothesis Testing? 247\u003c\/p\u003e \u003cp\u003eExercises for Section 7.3 249\u003c\/p\u003e \u003cp\u003e7.4 Type I and Type II Errors 250\u003c\/p\u003e \u003cp\u003eExercises for Section 7.4 266\u003c\/p\u003e \u003cp\u003e7.5 Selecting Sample Sizes 267\u003c\/p\u003e \u003cp\u003eExercises for Section 7.5 269\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Statistical Tests for Categorical Data 271\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Independence of Two Variables 271\u003c\/p\u003e \u003cp\u003eExercises for Section 8.1 282\u003c\/p\u003e \u003cp\u003e8.2 Examples of Chi-Square Analyses283\u003c\/p\u003e \u003cp\u003eExercises for Section 8.2 289\u003c\/p\u003e \u003cp\u003e8.3 Small Expected Values in Cells 290\u003c\/p\u003e \u003cp\u003eExercises for Section 8.3 292\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 t Tests for Related and Unrelated Data 295\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 What Is a t Test? 295\u003c\/p\u003e \u003cp\u003eExercises for Section 9.1 302\u003c\/p\u003e \u003cp\u003e9.2 A t Test for Comparing Two Groups 303\u003c\/p\u003e \u003cp\u003eExercises for Section 9.2 316\u003c\/p\u003e \u003cp\u003e9.3 A t Test for Related Data 318\u003c\/p\u003e \u003cp\u003eExercises for Section 9.3 321\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Analysis of Variance 323\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 One-Way Analysis of Variance 323\u003c\/p\u003e \u003cp\u003eExercises for Section 10.1 339\u003c\/p\u003e \u003cp\u003e10.2 ANOVA for Repeated Measures 340\u003c\/p\u003e \u003cp\u003eExercises for Section 10.2 348\u003c\/p\u003e \u003cp\u003e10.3 Factorial Analysis of Variance 349\u003c\/p\u003e \u003cp\u003eExercises for Section 10.3 362\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Simple Linear Regression 365\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Meaning and Calculation of Linear Regression 365\u003c\/p\u003e \u003cp\u003eExercises for Section 11.1 373\u003c\/p\u003e \u003cp\u003e11.2 Testing the Hypothesis of Independence 374\u003c\/p\u003e \u003cp\u003eExercises for Section 11.2 380\u003c\/p\u003e \u003cp\u003e11.3 The Excel Regression Add-In 381\u003c\/p\u003e \u003cp\u003eExercises for Section 11.3 388\u003c\/p\u003e \u003cp\u003e11.4 The Importance of Examining the Scatterplot 388\u003c\/p\u003e \u003cp\u003e11.5 The Relationship between Regression and the t Test 391\u003c\/p\u003e \u003cp\u003eExercises for Section 11.5 392\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Multiple Regression: Concepts and Calculation 395\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 395\u003c\/p\u003e \u003cp\u003eExercises for Section 12.1 406\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Extensions ofMultiple Regression 409\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Dummy Variables in Multiple Regression 409\u003c\/p\u003e \u003cp\u003eExercises for Section 13.1 420\u003c\/p\u003e \u003cp\u003e13.2 The Best Regression Model 421\u003c\/p\u003e \u003cp\u003eExercises for Section 13.2 431\u003c\/p\u003e \u003cp\u003e13.3 Correlation and Multicolinearity 432\u003c\/p\u003e \u003cp\u003eExercises for Section 13.3 435\u003c\/p\u003e \u003cp\u003e13.4 Nonlinear Relationships 435\u003c\/p\u003e \u003cp\u003eExercises for Section 13.4 447\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 Analysis with a Dichotomous Categorical Dependent Variable 449\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction to the Dichotomous Dependent Variable 450\u003c\/p\u003e \u003cp\u003e14.2 An Example with a Dichotomous Dependent Variable:\u003c\/p\u003e \u003cp\u003eTraditional Treatments 451\u003c\/p\u003e \u003cp\u003eExercises for Section 14.2 462\u003c\/p\u003e \u003cp\u003e14.3 Logit for Estimating Dichotomous Dependent Variables 463\u003c\/p\u003e \u003cp\u003eExercises for Section 14.3 475\u003c\/p\u003e \u003cp\u003e14.4 A Comparison of Ordinary Least Squares, Weighted Least Squares, and Logit 476\u003c\/p\u003e \u003cp\u003eExercises for Section 14.4 480\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix A Multiple Regression and Matrices 481\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAn Introduction to Matrix Math 481\u003c\/p\u003e \u003cp\u003eAddition and Subtraction of Matrices 482\u003c\/p\u003e \u003cp\u003eMultiplication of Matrices 483\u003c\/p\u003e \u003cp\u003eMatrix Multiplication and Scalars 484\u003c\/p\u003e \u003cp\u003eFinding the Determinant of a Matrix 484\u003c\/p\u003e \u003cp\u003eMatrix Capabilities of Excel 486\u003c\/p\u003e \u003cp\u003eExplanation of Excel Output Displayed with Scientific Notation 489\u003c\/p\u003e \u003cp\u003eUsing the b Coefficients to Generate Regression Results 490\u003c\/p\u003e \u003cp\u003eCalculation of All Multiple Regression Results 491\u003c\/p\u003e \u003cp\u003eExercises for Appendix A 494\u003c\/p\u003e \u003cp\u003eReferences 497\u003c\/p\u003e \u003cp\u003eGlossary 499\u003c\/p\u003e \u003cp\u003eIndex 513\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49528835604823,"sku":"9781118712658","price":90.2,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781118712658.jpg?v=1731873209","url":"https:\/\/bookcurl.com\/products\/statistics-for-health-care-management-and-administration-9781118712658","provider":"Book Curl","version":"1.0","type":"link"}