The probability of cases being appealed and reversed in each of the

        Judge Disposed Appealed Reversed Court   Fred   Cartolano 3037 137 12 Common   Thomas   Crush 3372 119 10 Common   Patrick   Dinkelacker 1258 44 8 Common   Timothy   Hogan 1954 60 7 Common   Robert   Kraft 3138 127 7 Common   William   Mathews 2264 91 18 Common   William   Morrissey 3032 121 22 Common   Norbert   Nadel 2959 131 20 Common   Arthur   Ney Jr. 3219 125 14 Common   Richard   Niehaus 3353 137 16 Common   Thomas   Nurre 3000 121 6 Common   John   O’Connor 2969 129 12 Common   Robert   Ruehlman 3205 145 18 Common   J.   Howard Sundermann Jr. 955 60 10 Common   Ann   Marie Tracey 3141 127 13 Common   Ralph   Winkler 3089 88 6 Common   Penelope   Cunningham 2729 7 1 Domestic   Patrick   Dinkelacker 6001 19 4 Domestic   Deborah   Gaines 8799 48 9 Domestic   Ronald   Panioto 12970 32 3 Domestic   Mike   Allen 6149 43 4 Muni   Nadine   Allen 7812 34 6 Muni   Timothy   Black 7954 41 6 Muni   David   Davis 7736 43 5 Muni   Leslie   Isaiah Gaines 5282 35 13 Muni   Karla   Grady 5253 6 0 Muni   Deidra   Hair 2532 5 0 Muni   Dennis   Helmick 7900 29 5 Muni   Timothy   Hogan 2308 13 2 Muni   James   Patrick Kenney 2798 6 1 Muni   Joseph   Luebbers 4698 25 8 Muni   William   Mallory 8277 38 9 Muni   Melba   Marsh 8219 34 7 Muni   Beth   Mattingly 2971 13 1 Muni   Albert   Mestemaker 4975 28 9 Muni   Mark   Painter 2239 7 3 Muni   Jack   Rosen 7790 41 13 Muni   Mark   Schweikert 5403 33 6 Muni   David   Stockdale 5371 22 4 Muni   John A.   West 2797 4 2 Muni    

     1. The probability   of cases being appealed and reversed in each of the three different courts   Remember this probabilities are for all   judges in each court.    

     2. The probability   of a case being appealed for each judge   There should be one probability for each   judge.    

     3. The probability   of a case being reversed for each judge   There should be one probability for each   judge.    

     4. The probability   of reversal given an appeal for each judge   This is a conditional probability so   there should be one conditional probability for each judge.    

     5. Rank the judges   within each court and state the criteria you used, and provide a rationale   for the ranking method you used.   Just rank based on probability values   (increasing or decreasing).    

"We Offer Paper Writing Services on all Disciplines, Make an Order Now and we will be Glad to Help"