Contrary to many people’s thoughts about seasons‚ summer is not due to the Earth being closer to the sun and vice versa for winter (these differences are extremely small). The Earth moves around the sun anti-clockwise in an elliptical orbit‚ with one revolution representing a year (365.256 days). To complete the orbit‚ Earth travels at an approximate speed of 67‚000 miles an hour. While we are orbiting around the Sun‚ we are also rotating around an imaginary axis of the earth‚ with one revolution
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Study Guide for Final Exam The final will be cumulative‚ although much of the test will focus somewhat more heavily on the material covered since the last midterm. There will be some questions that have been taken directly from the two earlier midterms. You’ll almost certainly recognize these questions; if you’ve reviewed the earlier exams with me in class (or in person) & know the answers to most or all of the questions‚ you’ll breeze through them. Read each question carefully‚ though‚ as
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percent error (MAPE) are shown. Correlation Bias MAD MSE MAPE Naïve -- 541.38 6865.52 69‚856‚200 .19 Moving Average (3 periods) -- 491.36 6‚138.27 59‚540‚560 .17 Weighted Moving Average (3 period; .6‚ .3‚ .1) -- 424.81 6‚501.58 61‚107‚180 .18 Exponential smoothing (alpha = 0.5) -- 794.28 5‚880.56 50‚755‚960 .16 Trend Analysis .54 0.00 4‚355.70 31‚285‚700 .12 Seasonal Additive Decomposition .97 0.00 1‚251.26 2‚386‚650 .03 It is obvious that the superior
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Historical Background Technology Forecasting is a product of the 20th century. Prior forecasting efforts were largely based upon the assumption and guidance of recognized experts in a given field and little more scientific thought was put into a forecast. Beginning in the 1930’s‚ a much more structured and formulated approach was placed upon the investigation‚ research‚ and predictability of future technologies. The United States Government played a critical role in emergence of technology forecasting
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Old Exam Packet – Acct 284 Fall 2009 Exam 1 – Fall 2008 Investing activities: a. involve day to day events like selling goods and services‚ which occur when running a business. b. involve the buying or selling of land‚ buildings‚ equipment‚ and other longer-term investments. c. only involve financial exchanges. d. All of these. Accumulated depreciation: a. is an expense account. b. is a liability account. c. is a regular asset account. d. is an asset contra-account.
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PROBLEM 4.1 A) (374 + 368 + 381) / 3 = 374.33 Pints B) Forecast: (381 x .1) = 38.1 (368 x .3) = 110.4 (374 x .6) = 224.4 38.1 + 110.4 + 224.4 = 372.9 Pints C) Week Of Pints Used Forecast with exponential smoothing applied 31st Aug 360 360.00 7th Sep 389 360.00 14th Sep 410 365.80 21st Sep 381 374.64 28th Sep 368 375.91 5th Oct 374 374.33 12th Oct 374.26 Forecast : 374.26 Pints PROBLEM 4.5 A) (3700 + 3800) / 2 = 3750 Miles
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Chapter 7 Problem Summary Problem Solutions 7.1 See file Ch7.1.xls a. Yes‚ a stationary model seems appropriate b. Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 20.16667 1.373732 14.6802 4.3E-08 17.1058 23.22753 17.1058 23.22753 Period -0.07692 0.186653 -0.41212 0.688949 -0.49281 0.338967 -0.49281 0.338967 From regression output‚ t = -.412 and p = .689. A stationary model seems appropriate since the linear term‚ Period
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Processing System Analysis Solving Differential Equations (ordinary and partial) Advantages of Laplace transformation A Laplace transformation technique reduces the solutions of an ordinary differential equation to the solution of an algebraic equation. When the Laplace transform technique is applied to a PDE‚ it reduces the number of independent variable by one. With application of Laplace transform‚ particular solution of differential equation is obtained directly without necessity of first
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The St Venant Equations Dr P A Sleigh Dr I M Goodwill School of Civil Engineering‚ University of Leeds March 2000 1 THE DERIVATION OF THE CONTINUITY EQUATION ...........................................................................................1 2 THE DERIVATION OF THE DYNAMIC OR MOMENTUM EQUATION. ...............................................................2 3 THE SOLUTION OF THE ST VENANT EQUATIONS ...................................................................
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Table of Contents Project Statement 1 Simple Layout of the Starbucks 1 Data Collection and Analysis 1 Inter Arrival Time 3 Service at the Counter 4 Service Time for Barista 1 5 Service Time for Barista 2 6 Observation Table …………………………………………………………………………………………………………………………………….7 Project Statement Starbucks is the largest coffee house company in the world. They have over 16‚000 stores in over 50 countries. We have one of their outlets in our university. We chose
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