The Statistical Errors of Date Rape There is nobody out in the world that likes rape‚ in any form‚ besides perhaps the rapist themselves‚ however‚ “rape” is a word that has been given a certain disgusting stigma in our society. What comes with that stigma in our society? Fear‚ misconception‚ panic‚ and the ability to draw accusations about those who are the victims and the ones who commit the heinous crime. Camille Paglia is a anti-feminist known for her views on how feminism has done nothing
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Use of Ranks in One-Criterion Variance Analysis Author(s): William H. Kruskal and W. Allen Wallis Source: Journal of the American Statistical Association‚ Vol. 47‚ No. 260 (Dec.‚ 1952)‚ pp. 583-621 Published by: Taylor & Francis‚ Ltd. on behalf of the American Statistical Association Stable URL: http://www.jstor.org/stable/2280779 Accessed: 05-03-2015 13:33 UTC Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use‚ available at http://www.jstor.org/page/info/about/policies/terms
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was high in 1990 with the range of 75.01 compare to 42.76 for 1998. Another high variability for 1990 was the standard deviation of 9.30 compare to 5.17 for 1998. (For Excel instructions see pages 28 and 61 of the textbook.) Question 2. (Statistical Inferences: Single Population) Feasibility Study: Companies that sell groceries over the Internet are called e-grocers. Customers enter their orders‚ pay by credit card and receive delivery by truck. To determine whether an e-grocery would be
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Introduction The number of empirical work studying house prices and their links to the other factors are persistently on the rise. Housing market research has been topical since its role in the recent global economic crisis‚ specifically referring to the recent boom in house prices in many developed countries following a sharp bust in 2008. Researches and policy makers alike have realized that housing has significant influences on the business cycle. This paper tries to figure out the determinants
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Audit Sampling Using Statistical Methods Presented By: Abhishek Agrawal AUDIT SAMPLING • Application of an audit procedure to less than 100% of the items in a population – Account balance – Class of transactions • Examination “on a test basis” • Key: Sample is intended to be representative of the population. APIPA 2009 2 SAMPLING RISK • Possibility that the sample is NOT representative of the population • As a result‚ auditor will reach WRONG conclusion • Decision errors – Type
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Introduction The old adage ‘what gets measured improves’ is reflected in the dramatic increase in the range and scope of data being collected today. We are barraged with statistics on sports results‚ economic indicators and politics: people are becoming familiar with scoring averages‚ inflation rates and voter satisfaction surveys. The advent of low-cost personal computers combined with the widespread availability of powerful computing software‚ such as Excel‚ means that many people have both
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I am the Statistical Analyst for Slivers’ Gold Gym (SGG). I was assigned a project to examine the relation of 252 male gym members weight and body fat by conducting a hypothesis test. This report reflects the measures that I examined and how I conducted my hypothesis test to conclude if the male members have an average body fat of 20% as claimed by my boss. Part I I analyzed the compiled sample data set that was provided to me for the hypothesis test of the body fat and weight of 252 male members
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Statistical Arbitrage in the U.S. Equities Market Marco Avellaneda∗† and Jeong-Hyun Lee∗ First draft: July 11‚ 2008 This version: June 15‚ 2009 Abstract We study model-driven statistical arbitrage in U.S. equities. The trading signals are generated in two ways: using Principal Component Analysis and using sector ETFs. In both cases‚ we consider the residuals‚ or idiosyncratic components of stock returns‚ and model them as mean-reverting processes. This leads naturally to “contrarian” trading
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The current issue and full text archive of this journal is available at www.emeraldinsight.com/1463-5771.htm BIJ 19‚4/5 Evolving benchmarking practices: a review for research perspectives 444 Paul Hong Department of Information Operations and Technology Management‚ University of Toledo‚ Toledo‚ Ohio‚ USA Soon W. Hong Department of Industrial Engineering and Management‚ Youngdong University‚ Chungbuk‚ South Korea James Jungbae Roh Rohrer College of Business‚ Rowan University
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According to the theory of exploratory data analysis which published by John Tukey‚ for analysing unstructured data‚ statistical analysis should focus on exploring phenomena behind models (Tukey‚ 1992). Thus‚ apart from testing the model by software‚ factors will be analysed and discussed by the contrastive or cross-over analysis approaches to weight the importance of them. Subjective Norm As a theoretical foundation of TAM2‚ Subjective
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