5.) Diesel Dave has modified his massive truck to combat global cooling, and to roll coal on his neighborEnvironmentalist Ed. With each blast of diesel exhaust fumes, Diesel Dave releases sulfur dioxide in a giantblack cloud. Every morning as Diesel Dave is leaving home he rolls coal into Environmentalist Ed's yard. Notsurprisingly, Environmentalist Ed is diligently collecting data on the air quality in his yard. Suppose Diesel Davereleases sulfur dioxide in a normally distributed manner with a mean of 2800 ppm and a standard deviation of120 ppm. What is the probability that on a random morning he will release sulfur dioxide greater than 3000ppm?

Let X denotes the sulfur dioxide (in ppm) released by Diesel Dave. Given that X~N(μ=2800,σ2=(120)2).…

Answered: 5.) Diesel Dave has modified his…

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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1. Susan Sound predicts that students will learn most effectively with a constant background sound, as opposed to an unpredictable sound or no sound at all She randomly divides twenty-four students into three groups of eight. All students study a passage of text for 30 minutes. Those in group 1 study with background sound at a constant volume in the background. Those in group 2 study with noise that changes volume periodically. Those in group 3 study with no sound at all. After studying, all students take a 10 point multiple choice test over the material. Their scores follow test scoresS group 7 46 86 629 5 5 3 4 4 7 2 2 2 471 2 1 5 5 1) constant sound 2) random sound 3) no sound
Question 1. A researcher wants to study the effect of a price change on the sales of various brands of a certain product. Assume the market is made up of four brands - W, X, Y and Z- and the price change (decrease) for brand W is introduced immediately after time t0. Assume every respondent buys exactly one unit of the product in each period. Data on number of respondents buying each brand in each period, based on a panel, are as follows: Y W 175 25 100 25 25 Y 25 50 50 25 Note: Confine your attention only to the data presented Assume the world starts at to and stops after ti and the strategies of brands X, Y, and Z are unchanged between to and ti. c) Which brand(s) other than W exhibited the highest loyalty rate? Show your calculations. d) Which of the brands X Y, Z should be most worried about W's promotion? Show your calculations. to
Question No: Engro group, who recently sold its Engro foods start-up for a multi-million-rupees sum, is looking for another investment for fresh capital. It is considering an investment in coal (X) and solar (Y) power plant. For that they had a collected data on 5 different characteristics. Amanda has applied k-means clustering to this data for k = 2. Given the following data: Table 5.1 Observations X Y 1 20 18 2 8 20 3 36 26 4 22 12 5 14 4 d) Visually represent the clusters of both parts (b) and (c). Note: I have already attach "B" and "c" part with images that have been solve. Only do "D" part for solve.
QUESTION 3 Which of the following statements is correct? a.A finite distributed lag (FDL) model is chosen if a change in the independent variable(s) is(are) believed to have a lagged effect on the dependent variable. b.A FDL model of order q contains independent variable(s) lagged q time periods back. c. In a FDL model of order q, there is no further changes in the dependent variable due to the independent variable(s) after q time periods. d.All of the above.
Please disregard question 2 in the images.
Only a, b, c please!! Thank you!!!
3. Consider the following regression model: Weekly Hours = Bo + B1 × Wage + uj Weekly Hours is the average number of hours the individual worked over the course of the year and Wage is the individual's average hourly wage over the course of the year. A researcher who collects data and regresses Weekly Hours against Wage finds that B1 > 0. The OLS estimator, B, however, likely suffers from omitted variable bias because those individuals who earn high wages may be driven personalities who would work long hours no matter the wage. Because of this omitted variable bias, it is likely the case that B1_B1. A) В)
3. The table provides data associated with a study conducted at the Virginia Polytechnic Institute and State University on the development of a relationship between the roots of trees and the action of a fungus. Minerals are transferred from the fungus to the trees and sugars from the trees to the fungus. Two samples of 10 northern red oak seedlings were planted in a greenhouse, one containing seedlings treated with nitrogen and the other containing seedlings with no nitrogen. All other environmental conditions were held constant. All seedlings contained the fungus Pisolithus tinctorus. The stem weights in grams were recorded after the end of 140 days.
Problem 2: Twelve cars were equipped with radial tires and driven over a test course. Then the same 12 cars (with the same drivers) were equipped with regular belted tires and driven over the same course. After each run, the cars’ gas economy (in km/l) was measured. Is there evidence that radial tires produce better fuel economy? Car Gas eco. | 1 2 3 4 5 6 7 8 9 10 11 12 Y1 (radial) |4.2 4.7 6.6 7.0 6.7 4.5 5.7 6.0 7.4 4.9 6.1 5.2 Y2 (belted) |4.1 4.9 6.2 6.9 6.8 4.4 5.7 5.8 6.9 4.7 6.0 4.9 Using SPSS Give the following: Null hypothesis Alternative hypothesis Statistical test Computation Decision Conclusion
Seasonal decomposition. Find the seasonal indexes for Spring, Summer and Fall, based on the data in Table 1.
7
Question 4 Beachcomber Ltd in a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample of yearly data was taken with the view to testing the model: SALES=a+BAGE+YMIL+&ENG Where SÄLES= amount that a vehícle is sold for($000's), AGE = age of the vehicle, MIL= the total mileage of the vehicle at the point of sale and ENG= the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: The regression equation is ***** Coef StDev t-ratio p-value Predict or Constan 1.7586 0.2525 6.9648 0.0000 AGE 0.2124 0.3175 0.5042 ** MIL -0.7527 0.3586 -2.0991 7.7664 0.0000 *** ENG 4.8124 Analysis of Variance DF MS Source 3 413.1291 138.709 **** 0.00 Regressi 7 on 50 457.7607 2.2888 Error Total 53 a) What is dependent and independent variables? b) Fully write out the regression equation c) Fill in the missing values *', '**',…

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