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- Page 4: An Introduction to Categorical Data
- Page 7 and 8: Copyright © 2007 by John Wiley & S
- Page 9 and 10: vi CONTENTS 2.1.3 Sensitivity and S
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- Page 13 and 14: x CONTENTS 6.3.1 Adjacent-Categorie
- Page 15 and 16: xii CONTENTS 9. Modeling Correlated
- Page 18 and 19: Preface to the Second Edition In re
- Page 20: PREFACE TO THE SECOND EDITION xvii
- Page 23 and 24: 2 INTRODUCTION sciences (e.g., cate
- Page 25 and 26: 4 INTRODUCTION models for continuou
- Page 27 and 28: 6 INTRODUCTION The multinomial is a
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- Page 33 and 34: 12 INTRODUCTION In this text, we us
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- Page 39 and 40: 18 INTRODUCTION the outcome y equal
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- Page 45 and 46: 24 CONTINGENCY TABLES Figure 2.1. T
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- Page 51 and 52: 30 CONTINGENCY TABLES The sample od
- Page 53 and 54: 32 CONTINGENCY TABLES For Table 2.3
- Page 55 and 56: 34 CONTINGENCY TABLES the binomial
- Page 57 and 58: 36 CONTINGENCY TABLES The df value
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- Page 87 and 88: 66 GENERALIZED LINEAR MODELS 3.1 CO
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72 GENERALIZED LINEAR MODELS fitted
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74 GENERALIZED LINEAR MODELS 3.3 GE
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76 Table 3.2. Number of Crab Satell
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78 GENERALIZED LINEAR MODELS Figure
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80 GENERALIZED LINEAR MODELS Figure
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82 GENERALIZED LINEAR MODELS with S
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84 GENERALIZED LINEAR MODELS Simila
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86 GENERALIZED LINEAR MODELS provid
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88 GENERALIZED LINEAR MODELS 3.5 FI
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90 GENERALIZED LINEAR MODELS Table
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92 GENERALIZED LINEAR MODELS 37 obs
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94 GENERALIZED LINEAR MODELS Table
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96 GENERALIZED LINEAR MODELS 3.18 T
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98 GENERALIZED LINEAR MODELS 3.22 T
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100 LOGISTIC REGRESSION The logisti
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102 LOGISTIC REGRESSION of observat
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104 LOGISTIC REGRESSION for crabs i
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106 LOGISTIC REGRESSION that P(Y =
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108 LOGISTIC REGRESSION −2(L0 −
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110 LOGISTIC REGRESSION The estimat
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112 LOGISTIC REGRESSION Table 4.4.
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114 LOGISTIC REGRESSION 4.3.4 The C
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116 LOGISTIC REGRESSION 4.4.1 Examp
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118 LOGISTIC REGRESSION 4.4.2 Model
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120 LOGISTIC REGRESSION 1.2, based
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122 LOGISTIC REGRESSION activity of
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124 LOGISTIC REGRESSION Table 4.10.
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126 LOGISTIC REGRESSION Table 4.11.
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128 LOGISTIC REGRESSION 0 = no) and
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130 LOGISTIC REGRESSION Table 4.16.
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132 LOGISTIC REGRESSION b. In Table
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134 LOGISTIC REGRESSION Table 4.20.
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136 LOGISTIC REGRESSION c. The lack
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138 BUILDING AND APPLYING LOGISTIC
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140 BUILDING AND APPLYING LOGISTIC
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142 BUILDING AND APPLYING LOGISTIC
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144 BUILDING AND APPLYING LOGISTIC
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146 BUILDING AND APPLYING LOGISTIC
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148 BUILDING AND APPLYING LOGISTIC
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150 BUILDING AND APPLYING LOGISTIC
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152 BUILDING AND APPLYING LOGISTIC
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154 BUILDING AND APPLYING LOGISTIC
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156 BUILDING AND APPLYING LOGISTIC
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158 BUILDING AND APPLYING LOGISTIC
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160 BUILDING AND APPLYING LOGISTIC
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162 BUILDING AND APPLYING LOGISTIC
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164 BUILDING AND APPLYING LOGISTIC
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166 BUILDING AND APPLYING LOGISTIC
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168 BUILDING AND APPLYING LOGISTIC
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170 BUILDING AND APPLYING LOGISTIC
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172 BUILDING AND APPLYING LOGISTIC
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174 MULTICATEGORY LOGIT MODELS are
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176 MULTICATEGORY LOGIT MODELS By e
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178 MULTICATEGORY LOGIT MODELS 6.1.
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180 MULTICATEGORY LOGIT MODELS 6.2
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182 MULTICATEGORY LOGIT MODELS Then
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184 MULTICATEGORY LOGIT MODELS Like
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186 MULTICATEGORY LOGIT MODELS Tabl
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188 MULTICATEGORY LOGIT MODELS only
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190 MULTICATEGORY LOGIT MODELS 6.3.
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192 MULTICATEGORY LOGIT MODELS Tabl
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194 MULTICATEGORY LOGIT MODELS With
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196 MULTICATEGORY LOGIT MODELS high
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198 MULTICATEGORY LOGIT MODELS 6.6
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200 MULTICATEGORY LOGIT MODELS 6.9
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202 MULTICATEGORY LOGIT MODELS Tabl
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CHAPTER 7 Loglinear Models for Cont
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206 LOGLINEAR MODELS FOR CONTINGENC
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208 LOGLINEAR MODELS FOR CONTINGENC
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210 LOGLINEAR MODELS FOR CONTINGENC
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212 LOGLINEAR MODELS FOR CONTINGENC
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214 LOGLINEAR MODELS FOR CONTINGENC
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216 Table 7.9. Injury (I) by Gender
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218 LOGLINEAR MODELS FOR CONTINGENC
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220 LOGLINEAR MODELS FOR CONTINGENC
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222 LOGLINEAR MODELS FOR CONTINGENC
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224 LOGLINEAR MODELS FOR CONTINGENC
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226 LOGLINEAR MODELS FOR CONTINGENC
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228 LOGLINEAR MODELS FOR CONTINGENC
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230 LOGLINEAR MODELS FOR CONTINGENC
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232 LOGLINEAR MODELS FOR CONTINGENC
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234 LOGLINEAR MODELS FOR CONTINGENC
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236 LOGLINEAR MODELS FOR CONTINGENC
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238 LOGLINEAR MODELS FOR CONTINGENC
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240 LOGLINEAR MODELS FOR CONTINGENC
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242 LOGLINEAR MODELS FOR CONTINGENC
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CHAPTER 8 Models for Matched Pairs
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246 MODELS FOR MATCHED PAIRS are nu
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248 MODELS FOR MATCHED PAIRS An alt
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250 MODELS FOR MATCHED PAIRS This c
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252 MODELS FOR MATCHED PAIRS only a
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254 MODELS FOR MATCHED PAIRS Table
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256 MODELS FOR MATCHED PAIRS Table
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258 MODELS FOR MATCHED PAIRS from t
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260 MODELS FOR MATCHED PAIRS likeli
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262 MODELS FOR MATCHED PAIRS the ad
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264 MODELS FOR MATCHED PAIRS 8.5.5
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266 MODELS FOR MATCHED PAIRS ˆβ4
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268 MODELS FOR MATCHED PAIRS 8.7 Re
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270 MODELS FOR MATCHED PAIRS b. The
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272 MODELS FOR MATCHED PAIRS Table
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274 MODELS FOR MATCHED PAIRS Table
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CHAPTER 9 Modeling Correlated, Clus
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278 MODELING CORRELATED, CLUSTERED
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280 MODELING CORRELATED, CLUSTERED
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282 MODELING CORRELATED, CLUSTERED
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284 MODELING CORRELATED, CLUSTERED
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286 MODELING CORRELATED, CLUSTERED
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288 MODELING CORRELATED, CLUSTERED
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290 MODELING CORRELATED, CLUSTERED
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292 MODELING CORRELATED, CLUSTERED
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294 MODELING CORRELATED, CLUSTERED
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296 MODELING CORRELATED, CLUSTERED
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298 RANDOM EFFECTS: GENERALIZED LIN
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300 RANDOM EFFECTS: GENERALIZED LIN
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302 RANDOM EFFECTS: GENERALIZED LIN
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304 RANDOM EFFECTS: GENERALIZED LIN
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306 RANDOM EFFECTS: GENERALIZED LIN
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308 RANDOM EFFECTS: GENERALIZED LIN
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310 RANDOM EFFECTS: GENERALIZED LIN
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312 RANDOM EFFECTS: GENERALIZED LIN
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314 RANDOM EFFECTS: GENERALIZED LIN
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316 RANDOM EFFECTS: GENERALIZED LIN
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318 RANDOM EFFECTS: GENERALIZED LIN
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320 RANDOM EFFECTS: GENERALIZED LIN
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322 RANDOM EFFECTS: GENERALIZED LIN
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324 RANDOM EFFECTS: GENERALIZED LIN
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326 A HISTORICAL TOUR OF CATEGORICA
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328 A HISTORICAL TOUR OF CATEGORICA
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330 A HISTORICAL TOUR OF CATEGORICA
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Appendix A: Software for Categorica
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334 APPENDIX A: SOFTWARE FOR CATEGO
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336 APPENDIX A: SOFTWARE FOR CATEGO
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338 APPENDIX A: SOFTWARE FOR CATEGO
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340 APPENDIX A: SOFTWARE FOR CATEGO
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342 APPENDIX A: SOFTWARE FOR CATEGO
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Bibliography Agresti, A. (2002). Ca
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Index of Examples abortion, opinion
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348 INDEX OF EXAMPLES lung cancer a
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Subject Index Adjacent categories l
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352 SUBJECT INDEX Exact inference (
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354 SUBJECT INDEX Loglinear models
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356 SUBJECT INDEX Residuals binomia
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358 BRIEF SOLUTIONS TO SOME ODD-NUM
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360 BRIEF SOLUTIONS TO SOME ODD-NUM
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362 BRIEF SOLUTIONS TO SOME ODD-NUM
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364 BRIEF SOLUTIONS TO SOME ODD-NUM
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366 BRIEF SOLUTIONS TO SOME ODD-NUM
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368 BRIEF SOLUTIONS TO SOME ODD-NUM
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370 BRIEF SOLUTIONS TO SOME ODD-NUM
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372 BRIEF SOLUTIONS TO SOME ODD-NUM