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Statistics Project 1

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Business Statistic Midterm Project

* Probability of cases appealed AND reversed in each court * Probability of a case being appealed for EACH judge * Probability of a case being reversed for EACH judge * Probability of reversal given an appeal for EACH judge * Ranking of each judge within each court. State the criteria you are using for your ranking AND provide the rationale for your choice. * Analysis: Who is doing a good job AND who is not? Why do you think so? Use your created ranking criteria to analyze the data

1. Probability of cases appealed and reversed in each court
The Common Pleas Court, the probability of an appeal is 0.0401
Domestic Relation Court, the probability of an appeal is 0.00384
Municipal Court, the probability of an appeal is 0.00461
The unconditional probability of an appeal across all 3 courts is
(1762/43945)*(198/43945) +(106/30945)*(17/30945) +(500/108464)*(104/108464)
= 1.87*10^-4

2. Probability of case being appeal for each judge were given 5 columns of the table and it come out to this.
(1762 +106+500)/(43945+30495+108464)=0.0129

3. For this case the judges were given 7 columns of the table. Judges Winkler Panioto, and Grady have to lowest probability of reversal for Common Pleas, Domestic Relations, and Municipal Courts. All of these are probabilities of reversal for all cases disposed of and not only for one appealed.

4. The probability for the reversal was given 9 columns for each judge. The judges Panioto, Grady/Hair, and Nurre are the lowest probability of reversal.

5. The Cincinnati Enquirer provided ranking for each judges within each of the courts on percentage of cases appealed, percentage of cases reversed and percentage of appealed cases reversed. The rankings were the same as the one that was computed based on the probabilities on column 6, 8 and 10. The total provided

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