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    Nios Syllabus

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    MATHEMATICS CURRICULUM FOR SECONDARY COURSE RATIONALE Mathematics is an important discipline of learning at the secondary stage. It helps the learners in acquiring decision- making ability through its applications to real life both in familiar and unfamiliar situations. It predominately contributes to the development of precision‚ rational and analytical thinking‚ reasoning and scientific temper. One of the basic aims of teaching Mathematics at the Secondary stage is to inculcate the skill

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    five years on a large sample of households from the 27th round (October 1972 – September 1973). For this project Data from the 63rd Round of the National Sample Survey was used as a sample for analysis. The regression analysis was carried out using Linear‚ Working-Lesser and Double Log Models. The income elasticity was calculated in each case which confirmed the fact that food is a necessity good. Qualitative factors such as seasonality‚ occupation and social group were also incorporated into the

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    reservoir simulation

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    one-dimensional‚ one-phase flow equations As an introduction to reservoir simulation‚ we will review the simplest one-dimensional flow equations for horizontal flow of one fluid‚ and look at analytical and numerical solutions of pressure as function of position and time. These equations are derived using the continuity equation‚ Darcy’s equation‚ and compressibility definitions for rock and fluid‚ assuming constant permeability and viscosity. They are the simplest equations we can have‚ which involve

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    btec

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    B.Tech. (Computer Science and Engineering) S E M E S T E R C O U R S E FIRST CHM101 PHY101 PHY102 MTH101 HSS-I-1/ ENG112N ESC101 PE101 SECOND TA101 PHY103 MTH102 ESC102 CS100 PE102 THIRD MTH203 CHM201 CS220 ESO-1 ESO211 FOURTH HSS-I-2 TA201 CS201 CS355 OE-1 FIFTH CS330 CS340 ONE OUT OF CS350‚ CS425‚ CS455 SIXTH CS335 CS345 ONE OUT OF CS315‚ CS365‚ CS422 SEVENTH CS498 EIGHTH CS499 In addition to above‚ the student must complete

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    Correlation

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    CORRELATION & LINEAR REGRESSION Prof. Jemabel Gonzaga-Sidayen Spearman rank order correlation coefficient rho (rs) • Spearman rho is really a linear correlation coefficient applied to data that meet the requirements of ordinal scaling • Formula: rs = 1 - 6 Σ D i 2 N3 - N – Di = difference between the ith pair of ranks – R(Xi) = rank of the ith X score – R(Yi) = rank of the ith Y score – N = number of pairs of ranks Try this Subject Proportion of Similar Attitudes (X) Attraction (Y) Rank of

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    Forecasting Forecast can help managers by reducing some of the uncertainty‚ thereby enabling them to develop more meaningful plans than they might otherwise. A forecast is a statement about the future. Features common to all forecasts 1. The same underlying causal system that existed in the past will continue to exist in the future. 2. Forecasts are rarely perfect; actual results usually differ from predicted values. 3. Forecasts for groups of items tend to be more accurate than forecasts

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    Dummy Variables

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    Use of Dummy Variables in Testing for Equality Between Sets of Coefficients in Linear Regressions: A Generalization Author(s): Damodar Gujarati Source: The American Statistician‚ Vol. 24‚ No. 5 (Dec.‚ 1970)‚ pp. 18-22 Published by: American Statistical Association Stable URL: http://www.jstor.org/stable/2682446 . Accessed: 09/07/2013 18:34 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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    reactant or the rate of increase of the concentration of a product. The rate law is an equation that expresses the rate of a reaction as a function of the concentration of all the species present in the overall chemical reaction at some time. The rate law is often found to be proportional to the concentration of the reactants raised to a power. For the depolymerization of diacetone alcohol the empirical rate equation is -∂x∂t=kxn[OH-]m (1) X= concentration of diacetone alcohol ‚ t=time ‚ k=rate

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    voltage that is typically hundreds of thousands of times larger than the voltage difference between its input terminals.[2] Operational amplifiers had their origins in analog computers where they were used to do mathematical operations in many linear‚ non-linear and frequencydependent circuits. Characteristics of a circuit using an op-amp are set by external components with little dependence on temperature changes or manufacturing variations in the op-amp itself‚ which makes op-amps popular building

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    forecasting

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    FORECASTING FORECASTING The Role of the Manager Planning Organizing Staffing Leading Controlling Future ? Data Information • Short-range • Medium-range • Long-range Features Common to All Forecasts Forecasting techniques generally assume that same underlying causal system that existed in the past will continue to exist in the future. Forecasts are rarely perfect. Forecasts for groups of items tend to be more accurate than forecasts for individual items. Forecast

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