Hurricane occurrences, per year, are Poisson-distributed with A = 2Complete the table:YHP(at least H hurricanes in Y years)111231020(you are allowed 1% tolerance)100172(you are allowed 1% tolerance)

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Answered: Hurricane occurrences, per year, are…

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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Requesting answers for d, e and f. 1. The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in F) for that month. The past year’s usage and temperatures are in the following table: Month Temp Usage/1000 Month Temp Usage/1000 Jan 21 185.79 Jul 68 621.55 Feb 24 214.47 Aug 74 675.06 Mar 32 288.03 Sept 62 562.03 Apr 47 424.84 Oct 50 452.93 May 50 454.58 Nov 41 369.95 Jun 59 539.03 Dec 30 273.98 d. Suppose that the monthly average temperature is 47 F. Calculate the fitted value of y and the corresponding residual. e. Test for significance of regression using α=0.01 (Use ANOVA). f. Calculate the r2 of the model and also find a 99% CI for β1.
1:25 K The data to the right represent the number of customers waiting for a table at 6:00 P.M. for 40 consecutive Saturdays at Bobak's Restaurant. Complete parts (a) through (h) below. Frequency A. 1852963O Relative Frequency O A. 4 7 10 13 16 Number of Customers (Type integers or decimals. Do not round.) (d) What percentage of the Saturdays had 10 or more customers waiting for a table at 6:00 P.M.? 0.6- 0.5- 0.4- 0.3- 0.2- 0.14 0- 14 7 10 13 16 Number of Customers (Type an integer or a decimal. Do not round.) (e) What percentage of the Saturdays had 12 or fewer customers waiting for a table at 6:00 P.M.? (Type an integer or a decimal. Do not round.) (f) Construct a frequency histogram of the data. Choose the correct histogram below. Frequency ||| B. = 18 15 12 Relative Frequency O B. Tralalalhulu! 1 4 7 10 13 16 Number of Customers 0.6- 0.5- 0.4- 0.3- 0.2 0.1- 0- 4 7 10 13 16 Number of Customers Frequency 9 11 10 13 8 Relative Frequency O 1852963 Vo) 1 LTE2 C. 8 10 (g) Construct a…
Practice seasonal precipitation for a group of high water consumption counties in Minnesota over the period 1988-2011. Summary statistics are provided. The following graph shows y = water consumption for irrigation purposes vs. x = %3D Σ(x-= 155.2 | 100 E(y – y)? = 10363.9 80 60 - E(x – x)(y – ) = -917.3 40 - x = 11.4 20 y = 62.9 8 10 12 14 16 precipitation (inches) a) What is the equation of the best fitting line through the points? b) What percentage of the variability in y is explained by the linear model? c) What is the sample correlation coefficient? d) Based on the model, what is the predicted water consumption if the seasonal precipitation is 25 inches of rain? What's wrong and why did the model fail? water consumption (billions of gallons) 00 a
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#5 a, b, and c.
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Hurricane occurrences, per year, are Poisson-distributed with A = 2 Complete the table: Y H P(at least H hurricanes in Y years) 1 1 2 1 3 (you are allowed 1% tolerance) (you are allowed 1% tolerance) 10 20 100 172