background of Milimani law Courts 3 3.0 Area of interest 4 4.0 Statement of the problem 5 5.0 Outcome in 50 Days 5 6.0 Rationality of the RRI 10 7.0 Challenges to Implementation of the RRI 10 8.0 Recommendations 11 9.0 Conclusion 12 RAPID RESULTS INITIATIVE 1.0 Introduction On September 16‚ 2011 the Chief Justice of Kenya Hon. Charles Mutunga was overwhelmed by the number of cases that were piling at the Milimani Law Courts‚ located in Nairobi for the past one year and the number of judges
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Multivariate analysis of variance Multivariate analysis of variance (MANOVA) is a generalized form of univariate analysis of variance (ANOVA). It is used when there are two or more dependent variables. It helps to answer : 1. do changes in the independent variable(s) have significant effects on the dependent variables; 2. what are the interactions among the dependent variables and 3. among the independent variables.[1] Where sums of squares appear in univariate analysis of variance‚ in multivariate
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PRODUCTION VARIANCE REPORT Background On completion of the first full inventory count for March 2013‚ ACL Production incurred a variance of TTD 277 k. The reasons for these variances included:- Bulk Paint not consumed Usage not recorded Normal Loss (Evaporation/Clingage) Drum Shortage Packaging use not recorded Multiple report as Finished Not defined These variances were not taken to book until a clear understanding of why it occurred was realized. As a consequence of the above‚ it was
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Assignment 7: Mean-Variance Portfolio Theory ------------------------------------------------- Top of Form 1 . Consider‚ as in Lecture 7.1‚ a portfolio of two risky assets‚ with expected returns rˉ1‚rˉ2‚ variances σ21‚σ22 and covariance σ1‚2. No other assets are available. You have to allocate $1 mln of investment in the portfolio of the two assets in order to minimize total portfolio variance. What is the optimal amount of investment in asset 1 (in mln dollars)? Assume expected returns are
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Limitations of using variance analysis for performance evaluation Variance analysis is the process of examining in detail each variance between actual and standard costs to determine the reasons why budgeted results were not met. Despite the advantages highlighted above‚ there are several limitations that may result in the use of variance analysis for performance evaluation. I. The Barnes Scuba Diving business as a whole The analysis of the results might be imprecise due to overlooking other vital
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One-way Analysis of Variance (Abbreviated one-way ANOVA) is a technique used to compare means of two or more samples (using the F distribution). This technique can be used only for numerical data. It consists of a single factor with several levels and multiple observations at each level. With this kind of layout we can calculate the mean of the observations within each level of our factor. The residuals will tell about the variation within each level. It can also average the means of each level
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VARIANCES IN ATTITUDES ACROSS CULTURES THE ROLE OF GENDER a. DEFINITION: “An attitude is the manifestation of values‚ beliefs‚ feelings‚ and states of mind” (Satterlee‚ 2009‚ p. 51). b. SUMMARY: Birgit Pfau-Effinger of The University of Hamburg in Hamburg‚ Germany recently published an article titled “Women ’s employment in the institutional and cultural context” in the International Journal of Sociology and Social Policy. The author’s intention throughout the paper is to identify the factor(s)
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and Estimation for Population Variances Business Statistics: A Decision-Making Approach‚ 7e © 2008 Prentice-Hall‚ Inc. Chap 11-1 Chapter Goals After completing this chapter‚ you should be able to: Formulate and complete hypothesis tests for a single population variance Find critical chi-square distribution values from the chi-square table Formulate and complete hypothesis tests for the difference between two population variances Use the F table to find critical
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Laboratory Report on the Reaction of Flames Towards Medals  Introduction The purpose of the flame lab was to identify a set of flame-test color standards for selected metal ions‚ relate the colors of a flame test to the behavior of excited electrons in a metal ion‚ observe spectral lines using diffraction grating‚ and to identify an unknown metal ion by using a flame test. My hypothesis for the lab was that most of the flames when sprayed with a solution will be a orange-red color. The
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It is not unusual for clients to receive standardized test results and be confused by or misinterpret the data presented. For this assignment‚ you will examine two case scenarios with two different clients‚ both of whom are dissatisfied or upset with the test results they received. For each case scenario‚ you will write a response that explains how you would address each client’s concern. Do not write a hypothetical counseling session between yourself and the client. Accurately explain to the client
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