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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QUESTION 6 As the Operation manager at Giant Wholesale, you want to improve the inventory for the finished goods. The company is always having a shortage problem in product A. To analyse this product A inventory, you have collected the data as below: i)Average demand per day = 80 units ii)Working days per year = 300 days iii)Ordering cost = RM40 per order iv)Annual carrying (holding) cost rate = 10% of item cost v)Cost of product A per unit = RM150 vi)Lead time = 5 days vii) Standard deviation of daily demand= 5 units viii) Customer service level = 95% Based on the data given above, answer the following questions: a) Compute EOQ. b) Compute the annual total inventory cost. c) Based on a continuous review system (Q System), determine the optimal order quantity Q, and reorder point (R). d) Based on the periodic review system (P System), determine the period review interval (P) and target inventory level (T).
Problem 2. (Exercise 6, Section 9.5.7) According to the Department of Motor Vehicles (DMV), the entity in charge of providing driving licenses in the United States, it is illegal to drive with a blood alcohol content of 0.08% or more if you are 21 or older. In the DMV's guidelines to determine when a person is driving under the influence, which can be found at https://www.dmv.ca.gov/portal/dmv/detail/pubs/hdbk/actions_drink, it is indicated that fewer than five percent of the population weighing 100 pounds will exceed the 0.33 alcohol level. Assume this is accurate. If the Highway Patrol stops in a random day 200 unrelated cars where the individual weighs one hundred pounds, on a Friday night, what is the probability that six percent of more individuals stopped exceeds that 0 33 alcohol level?
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
How would I solve this assuming the population variances are equal?
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.
Example 3.6 Assuming that the life of a given subsystem, in the wear-out phase, is normally distributed with u an operating time of 500 hours given that (a) the age of the component is 9,000 hours, (b) the age of the component is 11,000 hours. 10,000 hours and o = 1,000 hours, determine the reliability for CS Scanned with CamScanner
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.
Seasonal decomposition. Find the seasonal indexes for Spring, Summer and Fall, based on the data in Table 1.
3. A researcher designs an experiment using two drugs, she prepares 15 independent flasks of yeast growth medium and yeast cells. She adds tunicamycin (T) or caffeine (C) to 5 flasks each. Remaining 5 flasks get no drugs (ND). Doubling time of the yeast cells are measured in each flask, data is provided below: Flask T Flask Flask ND 8.2 6 5.2 11 2 6.8 7 6.1 12 5.1 3 8 8 6.2 13 5.6 4 7.6 9 5.7 14 5.2 5 7.9 10 6.3 15 6.1 Test using a non-parametric method.
QUESTION 14 CardioGood Fitness Treadmill Products Data The market research team at CardioGood Fitness retail store wants to investigate whether there are differences across the product lines of treadmills sold; TM195 (low-end model), TM498 (medium grade model) and TM798 (high-end model) with respect to customer characteristics. The team decides to collect data on individuals who purchased a treadmill at a CardioGood Fitness retail store during the past three months. One question the team is interested in is if there is a difference in the miles of intended use of the treadmill between males and Females. t-Test: Two-Sample Assuming Unequal Variances MaleMiles Female Miles Mean 112.81 89.99 Variance 2991.43 2006.76 Observations 104 76 Hypothesized Mean Difference df 176 t Stat 3.0732 P(T<=t) one-tail 0.0012 t Critical one-tail 1.6536 P(T<=t) two-tail 0.0025 t Critical two-tail 1.9735 In the essay box, clearly answer questions 1-5 below: 1. Is this conducting a one-sided test or a…

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