Evaluating Ideas By Diane Wright HUM/114 December 14‚2014 Barbara Laughton My Opinion : I believe that women are still discriminated against in the workplace because women gets paid less than men. While doing the same jobs. Source #1: Do Men Really Earn More Than Women? I chose this article because it explained why men typically get paid more than women. This source say that “ men wages grow a longer period of time and achieve higher levels than
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Question 1: To compute the standard deviation‚ it is used the EXCEL STDEV ( ) Function and the expected return is equal to the sum of return rates in 24 months divided by 24. Stock | Vanguard 500 | California REIT | Brown Group | Standard Deviation | 4.61% | 9.23% | 8.17% | Expected Return | 1.10% | -2.27% | -0.67% | Question 2: To compute the standard deviation in a portfolio‚ it follows the formula SD= ( ) 1/2
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Probabilistic Inventory Models 1. CONTINUOUS REVIEW MODELS 1.1 "Probabilitized" EOQ Model Some practitioners have sought to adapt the deterministic EOQ model to reflect the probabilistic nature of demand by using an approximation that superimposes a constant buffer stock on the inventory level throughout the entire planning horizon. The size of the buffer is determined such that the probability of running out of stock during lead time (the period between placing and receiving an order) does
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Kater’s Pendulum Thomas Markovich and Kapil Chhabria Departments of Physics University of Houston Houston‚ TX 77204-5006 (Dated: December 9‚ 2010) We experimentally determined the local gravitational constant using Kater’s Pendulum to provide the authors with experience in data analysis. In this manuscript‚ we rigorously derive the relevant equations from first principles with the appropriate expressions for the experimental uncertainty. We found that by assuming the periods were equal we were
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Week 5 problems Name: Show your work to receive partial credit. PLEASE DO NOT USE ANY RED FONTS #1 Find the standard error of the mean for each sampling situation (assuming a normal population). What happens to the standard error each time you quadruple the sample size? a. σ = 36‚ n = 9 36 √9=12 b. σ = 36‚ n = 36 36 √36=6 c. σ = 36‚ n = 144 =3 formula SE= σ √n #2. A sample was taken of 36 people attending
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Joan Holtz CASE 5-3 JOAN HOLTZ (A)* (1) Electric utility bills. An electric utility company can estimate with reasonable certainty the expected revenue in a given period by taking into consideration some of the following: customer habits‚ average historical trends‚ demand and supply forecasts‚ and environmental changes. The electric utility industry effectively uses an insurance industry concept—the law of large numbers‚ to determine with certainty‚ expected revenue. The law of large numbers
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To estimate impedance function‚ distance as a proxy of travel cost between pairs of origins and destinations is calculated by ARC GIS 10.2 which considers the length of the shortest available route. To calibrate the best impedance function‚ the frequency distribution of walking trips is plotted against distance. By fitting different types of functions (i.e.‚ exponential‚ multiplicative exponential‚ linear‚ logarithmic‚ polynomial‚ power) and comparing standard error of the estimates’ values‚ the
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If the expectancy of the attributes or criteria is larger the better; = (2) If the expectancy of the attributes or criteria is smaller the better; = (3) where; and are the maximum and minimum value of each alternative respectively. Normalized decision matrix is as follows; = (4) (4) Calculate preference variation value for all criteria as per following equations; = ] (5) where; = (6) (5) Calculate deviation in preference value for all criteria
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#include "stdafx.h" #include "windows.h" #include "glut.h" #include "gl/GL.h" #include "gl/Glu.h" GLfloat spe_x = 1.0f; GLfloat spe_y = 1.0f; GLfloat spe_z = 1.0f; GLfloat spe_a = 1.0f; GLfloat wall_1 = 1.0f; GLfloat translate_x = 0.6f; GLfloat translate_y = 0.38f; GLfloat translate_z = 0.5f; float jack_radius = 0.1; bool isTrue = false; bool isTrue_r = false; GLfloat rot = 90.0; // Wall void wall(double thickness) { // draw thin wall with top xz-plane‚ corner at origin glPushMatrix();
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Markov’s Trilemma First we try to find the optimal portfolio for our original set up. Weighting Asset GM -0.8% MRK 34.8% GE 66.0% 100.0% Risk-free rate 7% Expected Return 41.3% Expected standard deviation 21.4% Sharpe Ratio 1.60 1. Then we try the following actions and try to understand their consequences: a. Suppose that GM has decided to become a diversified conglomerate‚ much like GE‚ so that its correlation with GE will be 0.80 instead of 0.26. Weighting
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