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PREFACE vii Chapter 13 Nonparametric and Distribution-Free Statistics. New explanatory comments and computer printouts have been added in this chapter. Chapter 14 Vital Statistics. The introduction now includes a paragraph on epidemiology. SUPPLEMENTS Instructor’s Solutions Manual. Prepared by Chad Cross, University of Nevada, Las Vegas. Includes solutions to all problems found in the text. Available only to instructors who have adopted the text. New! Student Solutions Manual. Prepared by Chad Cross, University of Nevada, Las Vegas. Includes solutions to all odd numbered exercises. May be packaged with the text at a discounted price. Data Sets. More than 250 data sets of varying sizes have been integrated throughout the exposition, evidencing this edition’s focus on currency and relevance to modern students. All examples, section exercises, and review exercises of more then 20 entries are available at the Wiley Web site below. The large data sets are designed for analysis by the following techniques: probability (Chapter 3), interval estimation (Chapter 6), hypothesis testing (Chapter 7), analysis of variance (Chapter 8), simple linear regression (Chapter 9), multiple regression (Chapter 10), advanced regression analysis (Chapter 11), and chisquare (Chapter 12). Exercises at the end of these chapters instruct students on how to use the large data sets. The data sets are available to both instructor and student for download from the Wiley Web site at www.wiley.com/college/daniel If you do not have Internet access, please contact the publisher at 111 River Street, Hoboken, NJ 07030-5774, telephone: 1-877-762-2974 to obtain the electronic files. ACKNOWLEDGMENTS For their many helpful suggestions on how to make this edition of Biostatistics better, I wish to express my gratitude to the many readers of the previous editions and to the instructors who have used the book in their classrooms. In particular, I thank the following people who made valuable recommendations for this revision: Emilia Bagiella Yi Cheng Casey Cremins Kate Crespi Columbia University Indiana University, South Bend University of Maryland University of California, Los Angeles
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Page 14: vi PREFACE Chapter 1 Introduction t
Page 20: CONTENTS 1 INTRODUCTION TO BIOSTATI
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2.2 THE ORDERED ARRAY 21 TABLE 2.2.
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2.3 GROUPED DATA: THE FREQUENCY DIS
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EXERCISES 31 3 = an abundance of so
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EXERCISES 33 25.21 30.49 27.38 36.4
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EXERCISES 35 2.3.7 In a study of ph
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EXERCISES 37 0.6870 0.6900 0.6910 0
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2.4 DESCRIPTIVE STATISTICS: MEASURE
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EXERCISES 53 artery. Another import
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SUMMARY OF FORMULAS FOR CHAPTER 2 S
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REVIEW QUESTIONS AND EXERCISES 57 6
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REVIEW QUESTIONS AND EXERCISES 59 a
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REVIEW QUESTIONS AND EXERCISES 61 2
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REFERENCES 63 REFERENCES Methodolog
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CHAPTER3 SOME BASIC PROBABILITY CON
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3.2 TWO VIEWS OF PROBABILITY: OBJEC
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3.4 CALCULATING THE PROBABILITY OF
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EXERCISES 77 victimization. The fol
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3.5 BAYES’ THEOREM, SCREENING TES
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3.5 BAYES’ THEOREM, SCREENING TES
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EXERCISES 83 We see that the predic
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REVIEW QUESTIONS AND EXERCISES 87 (
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REVIEW QUESTIONS AND EXERCISES 89
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REFERENCES 91 23. The sensitivity o
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CHAPTER 4 PROBABILITY DISTRIBUTIONS
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4.2 PROBABILITY DISTRIBUTIONS OF DI
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4.2 PROBABILITY DISTRIBUTIONS OF DI
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EXERCISES 99 distributions of many
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4.3 THE BINOMIAL DISTRIBUTION 101 S
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4.3 THE BINOMIAL DISTRIBUTION 103 T
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4.3 THE BINOMIAL DISTRIBUTION 105 S
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4.3 THE BINOMIAL DISTRIBUTION 107 F
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4.4 THE POISSON DISTRIBUTION 109 4.
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4.4 THE POISSON DISTRIBUTION 111 wh
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EXERCISES 113 Using commands found
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4.5 CONTINUOUS PROBABILITY DISTRIBU
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4.6 THE NORMAL DISTRIBUTION 117 Thu
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4.6 THE NORMAL DISTRIBUTION 119 FIG
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4.6 THE NORMAL DISTRIBUTION 121 0 2
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4.7 NORMAL DISTRIBUTION APPLICATION
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4.7 NORMAL DISTRIBUTION APPLICATION
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Similarly, for x = 649 we have 4.7
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4.8 SUMMARY 129 (c) Between 100 and
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CHAPTER5 SOME IMPORTANT SAMPLING DI
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5.3 DISTRIBUTION OF THE SAMPLE MEAN
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EXERCISES 145 central limit theorem
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5.4 DISTRIBUTION OF THE DIFFERENCE
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5.5 DISTRIBUTION OF THE SAMPLE PROP
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5.5 DISTRIBUTION OF THE SAMPLE PROP
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EXERCISES 157 old are drawn from th
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REFERENCES 161 29. For each of the
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6.1 INTRODUCTION 163 LEARNING OUTCO
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6.1 INTRODUCTION 165 to m, we know
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6.2 CONFIDENCE INTERVAL FOR A POPUL
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EXERCISES 171 Dialog box: Stat ➤
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to replace s. When the sample size
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6.3 THE t DISTRIBUTION 175 they mea
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EXERCISES 177 reported 3.5 ; 0.4 nL
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6.4 CONFIDENCE INTERVAL FOR THE DIF
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EXERCISES 183 Yes Population normal
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6.7 DETERMINATION OF SAMPLE SIZE FO
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EXERCISES 191 2. Estimates of may b
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EXERCISES 193 greater than, say, .3
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6.9 CONFIDENCE INTERVAL FOR THE VAR
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6.9 CONFIDENCE INTERVAL FOR THE VAR
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6.10 CONFIDENCE INTERVAL FOR THE RA
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6.10 CONFIDENCE INTERVAL FOR THE RA
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6.11 SUMMARY 203 populations of sim
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SUMMARY OF FORMULAS FOR CHAPTER 6 2
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REFERENCES 213 A-8. SILVIA IANNELO,
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CHAPTER7 HYPOTHESIS TESTING CHAPTER
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7.1 INTRODUCTION 217 determine whet
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7.1 INTRODUCTION 219 to reject or n
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7.1 INTRODUCTION 221 8. Statistical
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7.2 HYPOTHESIS TESTING: A SINGLE PO
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EXERCISES 235 WOMAC mean function s
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7.3 HYPOTHESIS TESTING: THE DIFFERE
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EXERCISES 247 in healthy postmenopa
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EXERCISES 249 the local health depa
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7.4 PAIRED COMPARISONS 251 use of r
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percents from the postop percents.
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Paired T-Test and CI: C2, C1 Paired
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EXERCISES 257 Baseline Follow-up Ba
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EXERCISES 261 EXERCISES For each of
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7.8 HYPOTHESIS TESTING: THE RATIO O
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7.8 HYPOTHESIS TESTING: THE RATIO O
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7.9 THE TYPE II ERROR AND THE POWER
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7.10 DETERMINING SAMPLE SIZE TO CON
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54. The objective of a study by Rei
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REFERENCES 301 REFERENCES Methodolo
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REFERENCES 303 Veins Due to Greater
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CHAPTER8 ANALYSIS OF VARIANCE CHAPT
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8.1 INTRODUCTION 307 is variability
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8.2 THE COMPLETELY RANDOMIZED DESIG
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Dependent Variable: Selenium Tukey
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EXERCISES 329 Elbow Angle (Degrees)
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EXERCISES 331 Age Groups (Years) Ag
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EXERCISES 333 Group 1 Group 2 Group
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8.3 THE RANDOMIZED COMPLETE BLOCK D
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x ij (a) Each that is observed cons
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9. Conclusion. If we reject H 0 , w
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8.3 THE RANDOMIZED COMPLETE BLOCK D
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EXERCISES 343 The SAS System Analys
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EXERCISES 345 8.3.3 A remotivation
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8.4 THE REPEATED MEASURES DESIGN 34
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8.4 THE REPEATED MEASURES DESIGN 34
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EXERCISES 351 The ANOVA Procedure D
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8.5 THE FACTORIAL EXPERIMENT 353 Su
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8.5 THE FACTORIAL EXPERIMENT 355 TA
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8.5 THE FACTORIAL EXPERIMENT 357 re
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8.5 THE FACTORIAL EXPERIMENT 359 TA
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8.5 THE FACTORIAL EXPERIMENT 361 5.
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8.5 THE FACTORIAL EXPERIMENT 363 Di
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EXERCISES 365 Percent Compared to T
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EXERCISES 367 Change in Change in F
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REFERENCES 405 A-7. FARHAD ATASSI,
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REFERENCES 407 A-44. JIN-R. ZHOU, E
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CHAPTER9 SIMPLE LINEAR REGRESSION A
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9.2 THE REGRESSION MODEL 411 to be
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9.3 THE SAMPLE REGRESSION EQUATION
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EXERCISES 419 The Least-Squares Cri
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EXERCISES 421 CoaguChek Hospital Co
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9.4 EVALUATING THE REGRESSION EQUAT
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9.5 USING THE REGRESSION EQUATION 9
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9.5 USING THE REGRESSION EQUATION 4
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9.6 THE CORRELATION MODEL 441 9.6 T
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9.7 THE CORRELATION COEFFICIENT 443
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EXERCISES 451 is employed. We first
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9.7.3 In the study by Parker et al.
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9.8 SOME PRECAUTIONS 455 X Y X Y 5.
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REFERENCES 483 9. WILLIAM MENDENHAL
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CHAPTER10 MULTIPLE REGRESSION AND C
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10.2 THE MULTIPLE LINEAR REGRESSION
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10.3 OBTAINING THE MULTIPLE REGRESS
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10.3 OBTAINING THE MULTIPLE REGRESS
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EXERCISES 493 EXERCISES Obtain the
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EXERCISES 495 10.3.3 In a study of
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10.4 EVALUATING THE MULTIPLE REGRES
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R 2 R 2 1. and all b N i significan
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EXERCISES 505 of age and has an edu
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10.6 THE MULTIPLE CORRELATION MODEL
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EXERCISES 517 HIV DNA Blood HIV Co-
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SUMMARY OF FORMULAS FOR CHAPTER 10
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REFERENCES 533 4. Refer to the data
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CHAPTER11 REGRESSION ANALYSIS: SOME
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11.1 INTRODUCTION 537 TABLE 11.1.1
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11.2 QUALITATIVE INDEPENDENT VARIAB
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Note in these examples that when th
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EXERCISES 553 age of the subject (y
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EXERCISES 555 11.2.4 Refer to Exerc
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11.3 VARIABLE SELECTION PROCEDURES
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11.3 VARIABLE SELECTION PROCEDURES
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EXERCISES 561 CGAGE CGINCOME CGDUR
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EXERCISES 563 11.3.2 Machiel Naeije
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11.4 LOGISTIC REGRESSION 565 REACTI
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11.4 LOGISTIC REGRESSION 567 betwee
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11.4 LOGISTIC REGRESSION 569 The LO
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11.4 LOGISTIC REGRESSION 571 Standa
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11.4 LOGISTIC REGRESSION 573 Parame
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11.5 SUMMARY 575 Hospital Anxiety a
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REFERENCES 591 A-3. MANOJ PANDEY, L
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CHAPTER12 THE CHI-SQUARE DISTRIBUTI
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12.2 THE MATHEMATICAL PROPERTIES OF
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e equal to zero for each pair of ob
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12.3 TESTS OF GOODNESS-OF-FIT 599 3
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12.3 TESTS OF GOODNESS-OF-FIT 601 C
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12.3 TESTS OF GOODNESS-OF-FIT 603 W
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12.3 TESTS OF GOODNESS-OF-FIT 605 E
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12.3 TESTS OF GOODNESS-OF-FIT 607 E
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12.3 TESTS OF GOODNESS-OF-FIT 609 u
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EXERCISES 611 Test the goodness-of-
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a n 1. n ban .1 n b 12.4 TESTS OF I
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12.4 TESTS OF INDEPENDENCE 615 3. H
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12.4 TESTS OF INDEPENDENCE 617 The
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12.4 TESTS OF INDEPENDENCE 619 EXAM
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EXERCISES 621 EXERCISES In the exer
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12.5 TESTS OF HOMOGENEITY 623 Polic
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12.5 TESTS OF HOMOGENEITY 625 data,
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EXERCISES 627 If we wish to test th
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12.6 THE FISHER EXACT TEST 629 12.5
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, A - a, and B - b are all greater
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EXERCISES 633 Pl * Remained Cross-T
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12.7 RELATIVE RISK, ODDS RATIO, AND
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EXERCISES 647 12.7.2 The objective
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12.8 SURVIVAL ANALYSIS 649 (3) the
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12.8 SURVIVAL ANALYSIS 651 techniqu
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12.8 SURVIVAL ANALYSIS 653 TABLE 12
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cumulative proportion changes from
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12.8 SURVIVAL ANALYSIS 657 TABLE 12
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12.8 SURVIVAL ANALYSIS 659 Means an
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EXERCISES 661 EXERCISES 12.8.1 Fift
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EXERCISES 663 (c) Explain the meani
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SUMMARY OF FORMULAS FOR CHAPTER 12
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REFERENCES 679 19. WENDELL E. CARR,
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A-30. A-31. A-32. A-33. A-34. A-35.
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CHAPTER13 NONPARAMETRIC AND DISTRIB
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13.2 MEASUREMENT SCALES 685 measure
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13.3 THE SIGN TEST 687 TABLE 13.3.1
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13.3 THE SIGN TEST 689 7. Calculati
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13.3 THE SIGN TEST 691 TABLE 13.3.4
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EXERCISES 693 Data: C1: 4 5 8 8 9 6
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13.4 THE WILCOXON SIGNED-RANK TEST
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13.4 THE WILCOXON SIGNED-RANK TEST
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13.5 THE MEDIAN TEST 699 Subject 1
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13.5 THE MEDIAN TEST 701 TABLE 13.5
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13.6 THE MANN-WHITNEY TEST 703 Woul
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13.6 THE MANN-WHITNEY TEST 705 TABL
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13.6 THE MANN-WHITNEY TEST 707 FIGU
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EXERCISES 709 Mann-Whitney-Wilcoxon
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13.7 THE KOLMOGOROV-SMIRNOV GOODNES
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13.8 THE KRUSKAL-WALLIS ONE-WAY ANA
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EXERCISES 723 Young (19-50 Years) S
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13.9 THE FRIEDMAN TWO-WAY ANALYSIS
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13.9 THE FRIEDMAN TWO-WAY ANALYSIS
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13.10 THE SPEARMAN RANK CORRELATION
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EXERCISES 739 Duration of Follow-Up
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13.11 NONPARAMETRIC REGRESSION ANAL
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13.12 SUMMARY 743 36.4046 59.15 39.
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REFERENCES 761 8. W. H. KRUSKAL and
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CHAPTER14 VITAL STATISTICS CHAPTER
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2. Ratio. A ratio is a fraction of
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14.2 DEATH RATES AND RATIOS 767 TAB
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14.2 DEATH RATES AND RATIOS 769 Som
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EXERCISES 771 EXERCISES 14.2.1 The
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14.3 MEASURES OF FERTILITY 773 1. C
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EXERCISES 775 Age of Number of Birt
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14.5 SUMMARY 777 4. Immaturity rati
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REFERENCES 783 A-7. Georgia Divisio
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APPENDIX STATISTICAL TABLES List of
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APPENDIX STATISTICAL TABLES A-3 TAB
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TABLE B (continued ) APPENDIX STATI
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TABLE C (continued ) APPENDIX STATI
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TABLE D (continued ) APPENDIX STATI
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APPENDIX STATISTICAL TABLES A-41 TA
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TABLE G (continued ) APPENDIX STATI
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TABLE H (continued ) APPENDIX STATI
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TABLE J (continued ) APPENDIX STATI
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TABLE K (continued ) APPENDIX STATI
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TABLE L (continued ) APPENDIX STATI
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TABLE N (continued ) APPENDIX STATI
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APPENDIX STATISTICAL TABLES A-103 T
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APPENDIX STATISTICAL TABLES A-105 A
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ANSWERS TO ODD-NUMBERED EXERCISES A
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Family error rate = 0.0500 Individu
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The regression equation is WL = 0.7
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S 1.06 1.01 0.990 R-Sq 8.57 18.10 2
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INDEX Numbers preceded by A refer t
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INDEX I-3 H Histogram, 25-27 Hypoth
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INDEX I-5 Rate, 764-765 Ratio, 765
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