Cloud seeding, a process in which chemicals such as silver iodide and frozen carbon dioxide are introduced by aircraft into clouds topromote rainfall was widely used in the 20-th century. Recent research has questioned its effectiveness [Journal of AtmosphericResearch (2010, Vol. 97 (2), pp. 513-525)]. An experiment was performed by randomly assigning 52 clouds to be seeded or not. Theamount of rain generated was then measured in acre-feet. Here are the data for the unseeded and seeded clouds:Unseeded:81.226.1 95.0 41.1 28.6 21.7 11.5 68.5 345.5 321.21202.6 1.0 4.9 163.0 372.4 244.3 47.3 87.0 26.324.4830.1 4.9 36.6 147.8 17.3 29.0Seeded:274.7 302.8 242.5 255.0 17.5 115.3 31.4 703.4334.1430.01697.8 118.3 198.6 129.6 274.7 119.0 1656.0 7.740.6 92.4 200.7 32.7 4.1 978.0 489.1 2745.6Construct a frequence distribution for the combined cloud-seeding rain measurements. Use 6 bins.ClassFrequency-250 < x < 250250 < x < 750750 < x < 12501250 < x < 17501750 < x < 22502250 < x < 2750

combined cloud data 81.2 26.1 95 41.1 28.6 21.7 11.5 68.5 345.5 321.2 1202.6…

Answered: 21.7 11.5 68.5 345.5 321.2 244.3 47.3…

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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C is for cabbage - A researcher wants to know if the head weight of the cabbage is a good predictor for ascorbic acid (vitamin C) content. From a random sample of 60 cabbages, the researcher recorded the ascorbic acid content in milligrams and the weight of the cabbage head in pounds. Head weight is the X variable and Ascorbic acid content is the Y variable in this scenario. R output Coefficients: Estimate Std. Error t value (Intercept) 77.574 HeadWeight -7.567 Pr(>ltl) < 2e-16 *** 9.75e-09 *** 3.096 25.052 1.131 -6.689 --- Residual standard error: 7.668 on 58 degrees of freedom Multiple R-squared: 0.4355, Adjusted R-squared: 0.4257 F-statistic: 44.74 on 1 and 58 DF, p-value: 9.753e-09 The equation of the estimated regression line written as Blank #1 Blank #2 + Blank #3 X. %3D Match what goes in the Blank #1, Blank #2 and Blank #3 in the equation above. 1. 77.574 2. 3.096 3. 25.052
16 28 10 X Find the value of x.
5,239 + 2,794=
5.21/6.5
Suppose that 33% of McMaster undergraduate students are in their first year. President David Farrar likes to walk around and ask random students how they like the university. On average, how many students (could be a decimal number) will Dr. Farrar need to talk to before he finds a first year student? answer correct to 2 decimals
helppp
The accompanying table shows the results of a survey in which 250 male and 250 female workers ages 25 to 64 were asked if they contribute to a retirement savings plan at work. Complete parts (a) and (b) below. Click the icon to view the survey results. (a) Find the probability that a randomly selected worker contributes to a retirement savings plan at work, given that the worker is male. The probability that a randomly selected worker contributes to a retirement savings plan at work, given that the worker is male, is (Round to three decimal places as needed.) (b) Find the probability that a randomly selected worker is female, given that the worker contributes to a retirement savings plan at work. The probability that a randomly selected worker is female, given that the worker contributes to a retirement savings plan at work, is (Round to three decimal places as needed.)
Find the LU factorization of and use it to solve the system A = -4 16 10 -2 -2 2 -2 2 -3 6 -9 -5 -7 X2 10-0 -4 -7 -10 -22 2 6 -9 -5 -7 -4 16 1 -4 10 -7 -10 -22 A = LU 4 = -13 32 -14
The following data is the number of tickets sold and the jackpot value for the Mega Millions lottery. The jackpot value is in millions of dollars and the number of tickets sold is in millions. Jackpot value 334 127 300 227 202 180 164 145 255 Number of tickets sold 54 16 41 27 23 18 18 16 26 r= 0.947 tickets sold -10.87 +0.17 (jackpot value) Which is the independent variable and which is the dependent variable? X= independent variable = Y= dependent variable Interpret ². Interpret the slope. Predict the number of tickets sold when the jackpot value is 500 million dollars. Would you feel comfortable using the model for this value? Why or why not.

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21.7 11.5 68.5 345.5 321.2 244.3 47.3 87.0 26.3 24.4 29.0