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EXERCISES 35 2.3.7 In a study of physical endurance levels of male college freshman, the following composite endurance scores based on several exercise routines were collected. 254 281 192 260 212 179 225 179 181 149 182 210 235 239 258 166 159 223 186 190 180 188 135 233 220 204 219 211 245 151 198 190 151 157 204 238 205 229 191 200 222 187 134 193 264 312 214 227 190 212 165 194 206 193 218 198 241 149 164 225 265 222 264 249 175 205 252 210 178 159 220 201 203 172 234 198 173 187 189 237 272 195 227 230 168 232 217 249 196 223 232 191 175 236 152 258 155 215 197 210 214 278 252 283 205 184 172 228 193 130 218 213 172 159 203 212 117 197 206 198 169 187 204 180 261 236 217 205 212 218 191 124 199 235 139 231 116 182 243 217 251 206 173 236 215 228 183 204 186 134 188 195 240 163 208 (a) From these data construct: A frequency distribution A relative frequency distribution A frequency polygon A histogram (b) Describe these data relative to symmetry and skewness as discussed in Exercise 2.3.1, part h. 2.3.8 The following are the ages of 30 patients seen in the emergency room of a hospital on a Friday night. Construct a stem-and-leaf display from these data. Describe these data relative to symmetry and skewness as discussed in Exercise 2.3.1, part h. 35 32 21 43 39 60 36 12 54 45 37 53 45 23 64 10 34 22 36 45 55 44 55 46 22 38 35 56 45 57 2.3.9 The following are the emergency room charges made to a sample of 25 patients at two city hospitals. Construct a stem-and-leaf display for each set of data. What does a comparison of the two displays suggest regarding the two hospitals Describe the two sets of data with respect to symmetry and skewness as discussed in Exercise 2.3.1, part h. Hospital A 249.10 202.50 222.20 214.40 205.90 214.30 195.10 213.30 225.50 191.40 201.20 239.80 245.70 213.00 238.80 171.10 222.00 212.50 201.70 184.90 248.30 209.70 233.90 229.80 217.90
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PUBLISHER ACQUISITIONS EDITOR ASSOC
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vi PREFACE Chapter 1 Introduction t
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viii PREFACE Edward Danial David El
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x CONTENTS 6.3 The t Distribution 1
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2 CHAPTER 1 INTRODUCTION TO BIOSTAT
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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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SUMMARY OF FORMULAS FOR CHAPTER 3 S
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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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SUMMARY OF FORMULAS FOR CHAPTER 8 S
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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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