The graph illustrates a normal distribution for the prices paid for a particular model of HD television. Themean price paid is $1600 and the standard deviation is $130.1210134014701600173018601990Distribution of PricesWhat is the approximate percentage of buyers who paid between $1600 and $1730?What is the approximate percentage of buyers who paid between $1600 and $1860?What is the approximate percentage of buyers who paid between $1210 and $1600?What is the approximate percentage of buyers who paid less than $1340?What is the approximate percentage of buyers who paid less than $1210?What is the approximate percentage of buyers who paid between $1470 and $1730?

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Answered: The graph illustrates a normal…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The problem below looks at forecasting methodologies to determine which forecasting model results in the most accurate forecasts. Accuracy is determined by the lowest mean absolute deviation. Emergency calls to the 911 system of York County for the past 24 weeks are shown below. Accurate forecasts are needed to determine the number of operators needed to staff the station. Week # of Calls 1 50 2 35 3 25 4 40 5 45 6 35 7 20 8 30 9 35 10 20 11 15 12 40 13 55 14 35 15 25 16 55 17 55 18 40 19 35 20 60 21 75 22 50 23 40 24 65 SIMPLE LINEAR REGRESSION Use all of the data, weeks 1 - 24, to calculate the regression equation for this data. Use the weeks (1-24) as the independent variable (x) and number of calls as the dependent variable (y). Once you have the equation, forecast weeks 4 through 24 (enter 4, 5, 6, etc. as the x…

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