prospects‚ Training & work Involvement and Job Rotation. We found the employees to be satisfied on the basis of above said five factors. For the purpose of data analysis we used IBM SPSS 20. We performed factor analysis to reduce the data and non parametric tests as Kruskal-Wallis and Mann Whitney Rank test. Chi-Square tests were performed to view the satisfaction level of the employees against each major variables found after dimension reduction. We also found that a few important factors that normally
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How could graphics and/or statistics be used to misrepresent data? Where have you seen this done? Statistics‚ graphics‚ and database are used in medical field to approve‚ prove‚ or disapprove theories‚ analysis‚ and interpretation of ailments‚ medication and it’s impact‚ and treatment and it’s effectiveness. However‚ these data can be easily misinterpreted when and where there is a vested interest. Individual opinions are generalized without considering whole aspects of the issue‚ thus forming a
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vgupta.com About the Author Vijay Gupta has taught statistics‚ econometrics‚ SPSS‚ LIMDEP‚ STATA‚ Excel‚ Word‚ Access‚ and SAS to graduate students at Georgetown University. A Georgetown University graduate with a Masters degree in economics‚ he has a vision of making the tools of econometrics and statistics easily accessible to professionals and graduate students. At the Georgetown Public Policy Institute he received rave reviews for making statistics and SPSS so easy and "non-mathematical." He has
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DS BST 322 Independent Project Background of the study: The data in the dataset comes from a longitudinal study of low-income women in four urban communities. In the original study‚ extensive information was collected in 1999 (Wave 1) and 2001 (Wave 2) from about 4‚000 women. A major purpose of the study was to understand the life trajectories of these women and their children during a period of major changes to social policies affecting poor people in the United States. The sample
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| The individual and the Organization - Relationship | | | | | | | | | | | | Contents Introduction 3 Organization Structure: Relationship between organisation structure and employee reaction 4 Impact of Organizational Culture: 7 Organization’s Strategy‚ individual’s behaviour in Organization and it’s interlink 9 Delhi Metro Rail Corporation- A Case Study 13 References 15 Introduction In this report we deal with the Individual and his/her relationship
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most important terms Understand the facts about least-squares regression (pgs. 132 – 134) Understand the cautions about correlation and regression (pgs. 142 – 146) Important terms to understand: Preface and Chapter 1 Definition of statistics Individuals Categorical vs. quantitative variables Distribution The appropriate use of pie charts‚ bar charts‚ histograms‚
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distribution function for 100 normal random numbers. The K-S test is based on the maximum distance between these two curves. Characteristics and Limitations of the K-S TestAn attractive feature of this test is that the distribution of the K-S test statistic itself does not depend on the underlying cumulative distribution function being tested. Another advantage is that it is an exact test (the chi-square goodness-of-fit test depends on an adequate sample size for the approximations to be valid). Despite
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Rajkot – 360 005 February 2011. ~I~ Declaration I declare that the conceptual framework of the thesis has been developed based on the detailed and through literature Review as shown in the bibliography section. I have quoted several statistics‚ notes‚ opinions‚ and other information directly from the various books‚ journals‚ periodicals‚ and other reference materials with clear mention of the source of the information in the footnote
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References: David P. Doane‚ L. E. (2007). Applied Statistics. New York‚ NY: McGraw-Hill Irwin. University of Phoenix. (2007). Applied Statistics in Business and Economics. Retrieved from University of Phoenix‚ RES342 - Research and Development website.
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Contents Problem Definition and Goals 3 About the Bank 3 Logical Model 4 Data Gathering and Analysis 6 Arena Model Implementation 18 Step by Step implementation 18 Time Logic 18 Cutoff Logic 18 Verification and Validation 19 Prediction Function / Conclusion 23 Appendices 27 Appendix 1 : side Results 27 Problem Definition and Goals The purpose of this simulation to obtain important parameters of a bank queue‚ including bank information‚ queue length‚ waiting time in queue and expected
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