Random Variable and Its Probability distribution “A random variable is a variable hat assumes numerical values associated with the random outcome of an experiment‚ where one (and only one) numerical value is assigned to each sample point”. “A random variable is a numerical measure of the outcome from a probability experiment‚ so its value is determined by chance. Random variables are denoted using letters such as X‚Y‚Z”. X = number of heads when the experiment is flipping a coin 20 times. There
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Materials & Design Materials and Design 28 (2007) 2295–2302 www.elsevier.com/locate/matdes Minimisation of the residual stress in the heat affected zone by means of numerical methods A.G. Olabi b a‚* ‚ G. Casalino b‚ K.Y. Benyounis c‚ A. Rotondo b a School of Mechanical and Manufacturing Engineering‚ Dublin City University‚ Dublin 9‚ Ireland Politecnico di Bari‚ Dipartimento di Ingegneria Meccanica e Gestionale‚ Viale Japigia 182‚ 70126‚ Italy c Industrial Engineering Department
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import numpy as np import scipy as sp import matplotlib.pyplot as plt import scipy.linalg as la import scipy.io as sio D = sio.loadmat("baseball_data.mat") # X represents the total number of wins per team X = D["X"].ravel() # Y represents the total payroll per team Y = D["Y"].ravel() # The number of rows of matrix A m=X.size #by sorting the value of X‚ I realized that the minimum value in X is 672 and the maximum is 956‚ so I made the plotting range for x-axis from 650 to 1000
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ation in matlabThe MathWorks - Support - Differential Equations in MATLAB file:///C:/aainfors/Tech/work/Phys321/The%20MathWorks%20-%20... home Worldwide st ore cont act us si te hel p Ri chard Sonnenf el d | My a ccount | Log out Products & Services Industries Academia Support User Community Company Product Support 1510 - Differential Equations in MATLAB Differential Problems in MATLAB 1. What Equations Can MATLAB Handle? 2. Where Can I Find Tutorials or Additional
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0 RESULTS 4 5.0 DISCUSSIONS 9 6.0 CONCLUSIONS 10 7.0 APPENDIX 11 ABSTRACT Motion of the rocket is simulated using two numerical analysis methods. From the simulation different parameters such as altitude‚ velocity‚ acceleration and range for initial fuel flows were calculated. Two numerical methods‚ Euler’s integration and 4th order Runge-Kutta integration are used for calculating different parameters for the vertically launched rocket. The efficiency
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The Impact of Information Technology Infrastructure Flexibility on Strategic Alignment and Applications Implementation Sock H. Chung Department of Computer Information Systems College of Business Eastern Michigan University Ypsilanti‚ MI 48197 sock.chung@banyan.emich.edu R. Kelly Rainer‚ Jr. ** Department of Management College of Business Auburn University Auburn‚ Alabama 36849 (334) 844-6527 rainer@business.auburn.edu Bruce R. Lewis Calloway School of Business Wake Forest
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structures to withstand these loads within the required performance limits. This paper presents discussions on dynamic approach of design and analysis of a structure in petrochemical facilities‚ with numerical simulation study aiming to characterize the various structural effects of vapor cloud explosion. Numerical time integration method is used for caring out the analysis‚ where in an program has been written in MS EXCEL to carry out the incremental solution by solving the dynamic equilibrium equation
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State the title and source (including date) of the article: Accounting for Flexibility and Efficiency: A Field Study of Management Control Systems in a Restaurant Chain - By Thomas Ahrens (London School of Economics)‚ and Christopher Chapman (University of Oxford)‚ from The Contemporary Accounting Research Vol. 21 No. 2 (Summer 2004) pp. 271–301. State the major points made in the article: Introduction to Adler and Bory’s (1996) conceptual framework of the enabling approach to management control
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Examples for Runge-Kutta methods We will solve the initial value problem‚ du = − 2 u x 4 ‚ u(0) = 1 ‚ dx to obtain u(0.2) using x = 0.2 (i.e.‚ we will march forward by just one x). (i) 3rd order Runge-Kutta method For a general ODE‚ du = f x ‚ u x dx ‚ the formula reads u(x+x) = u(x) + (1/6) (K1 + 4 K2 + K3) x ‚ K1 = f(x‚ u(x)) ‚ K2 = f(x+x/2‚ u(x)+K1x/2) ‚ K3 = f(x+x‚ u(x)K1x+2 K2x) . In our case‚ f(x‚ u) = 2u + x + 4. At x = 0 (the initial state)‚ and
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PERSONALITY‚ STRATEGIC FLEXIBILITY‚ AND FIRM PERFORMANCE: THE CASE OF THE INDIAN BUSINESS PROCESS OUTSOURCING INDUSTRY SUCHETA NADKARNI Drexel University POL HERRMANN Iowa State University We examine the relationships between CEO personality‚ strategic flexibility (ability to adapt quickly to environmental changes)‚ and firm performance‚ using a sample of 195 small and medium-sized firms from the Indian business process outsourcing industry. We hypothesize that strategic flexibility mediates the relationships
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