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    experiment is to obtain the grading curve for both fine and coarse aggregate. APPARATUS 1. Balance - balance or scale used in testing fine and coarse aggregates shall have readability and accuracy as follows: For fine aggregate‚ readable to 0.1 g and accurate to 0.1 g or 0.1 % of the test load. For coarse aggregate‚ or mixtures of fine and coarse aggregate‚ readable and accurate to 0.5 g or 0.1 % of the test load. 2. Sieves – the sizes and apertures appropriate to the specification of the material

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    Part 1 Literature Review Researchers have studied personality test for a long history. At one time‚ personality tests were not perceived as a valid selection method. However‚ personality tests are widely used and get generally positive conclusions today. (1) Reliability and validity In recent years‚ there are many researches focusing on the illumination of the value of personality tests as predictors of performance. In 2007‚ Morgeson‚ Campion‚ Dipboye‚ Hollenbeck‚ Murphy‚ and Schmitt cautioned

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    2015 Version 1.0.5 Date 2014-12-27 Title Extremely Randomized Trees (ExtraTrees) Method for Classification and Regression Author Jaak Simm‚ Ildefons Magrans de Abril Maintainer Jaak Simm <jaak.simm@gmail.com> Description Classification and regression based on an ensemble of decision trees. The package also provides extensions of ExtraTrees to multi-task learning and quantile regression. Uses Java implementation of the method. Depends R (>= 2.7.0)‚ rJava (>= 0.5-0) Suggests testthat‚ Matrix SystemRequirements

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    3b. Chi squared analysis A chi-square test is also referred to X². It is a statistical test that is used to find a significant difference between the observed data to the expected data in one or more groups. To calculate a chi square you have to carry out the equation‚ X^2= ∑▒(O-E)"²" ÷E. Hₒ = this means that statistically there is no change between the observed and the expected frequencies of the results. Hₐ = this means that there is a significant change between the observed and the expected

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    1. The first step in evaluating a regression model is to determine whether the sign of the estimated slope term makes sense. The second step is to test whether or not the slope term is significantly different from zero. The appropriate statistical test to determine this is a t-test since the true regression error variance is generally unknown. The third check of regression is to evaluate what percent of the variation in the dependent variable is explained by variation in the independent variable

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    PERSONALITY TEST INTRODUCTION:- Personality tests are used to determine your type of personality‚ your values‚ interests and your skills. Mostly people conduct personality tests to determine their aptitude towards a certain type of career. A personality test aims to describe aspects of a person’s character that remain stable throughout that person’s lifetime‚ the individual’s character pattern of behavior‚ thoughts‚ and feelings. Similarly The BIG FIVE PERSONALITY TEST is also one

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    Cost Benefit Analysis of Tempisque Bridge In 1992 ‚ Costa Rica ’s Minister of Public Works and Transport (MOPT benefit-cost analysis suggested it was worthwhile to construct a bridge over Tempisque River to connect the province of Guanacaste to San ‚ Jose Costa Rica ’s capital . Environmentalists and tourism representatives opposed the construction of the bridge 1 .1 Reasons for Building the Bridge Population of Guanacaste province is declining ever since the World Bank urged the removal of tariffs

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    REGRESSION ANALYSIS OF LAND AREA‚ MACHINERY AND VALUE ADDED TAX ON FOOD PRODUCTION INDEX Table of Contents I. Introduction A. Background of the Study B. Statement of the Problem C. Objective of the Study D. Significance of the Study E. Scope and Limitations II. Review of Related Literature III. Operational Framework A. Description of Variables Used B. A-priori Expectation C. Introduction to the Hypothesized Econometric Model IV. Methodology A. Data B. Summary of Variables C. Empirical

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    Package ‘randomForest’ February 20‚ 2015 Title Breiman and Cutler ’s random forests for classification and regression Version 4.6-10 Date 2014-07-17 Depends R (>= 2.5.0)‚ stats Suggests RColorBrewer‚ MASS Author Fortran original by Leo Breiman and Adele Cutler‚ R port by Andy Liaw and Matthew Wiener. Description Classification and regression based on a forest of trees using random inputs. Maintainer Andy Liaw <andy_liaw@merck.com> License GPL (>= 2) URL http://stat-www.berkeley.edu/users/breiman/RandomForests

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    Cost-Benefit Analysis and Project Budget We are creating a Smartphone application for use as a travel aid for the public and the profit will be donated to the partnership for children charity. The total budget allocated for this project is £20‚000. We have £10‚000 from our own funds and we will be using this fund for the promotion of the app with £10‚000. The council has also provided us with £10‚000 subsidy. We have used our funds on Feasibility‚ User Requirement and Analysis‚ Design‚ Coding

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