2.5 Consider seven alternatives for high-efficiency light bulbs. The cost and expected lifeof each design are presented below. The target life is 19000 h.DesignExpected life (in 1000 h)Cost per units, S2 35 6 722481215182021129.891215Generate seven tricriteria alternatives (expected life, total cost, and probability offailure before target life). Identify efficient and inefficient alternatives. (Assume anexponential distribution function.)

The data on the cost and expected life of each design is given as Design Expected Life (1000h)…

Answered: -5 Consider seven alternatives for…

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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Solve all problems using a chi square analysis. You must use statistics to support your answers. 1. Azookeeper hypothesizes that changing the intensity of the light in the primate exhibits will reduce the amount of aggression between the baboons. In exhibit A, with a lower light intensity, he observes 36 incidences of aggression over a one-month period. In exhibit B, with normal lights, he observes 42 incidences of aggression. Should he support or reject his hypothesis? Observed Expected (o-e)/e (6-42)^2/e I X=? Degrees of freedom = 1 Critical value ?
Country China China China China China China China Scale us/billion us/billion us/billion us/billion us/billion tonnes % Items GDP GFCF EX IM FDI CO2C TO 1985 309488028132.65 94181047057.82 25801403273.95 38302403273.95 1659000000.00 1.87 20.71 1986 300758100107.25 93113390307.25 26202580690.47 33592580690.47 1875000000.00 1.94 19.88 1987 272972974764.57 83416274479.82 34072853910.00 33781853910.00 2314000000.00 2.04 24.86 1988 312353631207.82 96994617160.49 44923701330.00 48984701330.00 3194000000.00 2.15 30.06 1989 347768051311.74 89049722510.12 41190793490.00 46118793490.00 3393000000.00 2.15 25.11 1990 360857912565.97 86565315650.10 49129758920.00 38461758920.00 3487000000.00 1.91 24.27 1991 383373318083.62 98541506533.10 55542659163.76 43941659163.76 4366000000.00 2.00 25.95 1992 426915712715.86 129557475949.77 66847400125.59 61849400125.59 11156000000.00 2.08 30.15 1993 444731282435.52 164960763454.80 74280328749.70 86072328749.70 27515000000.00 2.24 36.06…
4. A psychologist noted that people have more difficulty sleeping in a bright room than in a dark room. She measured whether the intensity of the light could predict the time it took a sample of four participants to fall asleep. The data for this hypothetical study are listed in the following table. Intensity of Light (X) Time it Took to sleep (Y) 5. 10 10 18 20 30 40 25 M = 18.75 M = 20.75 S= 15.48 S = 8.69 r= .68 Create a scatter plot of the data b. Calculater and r2 c. Report results in APA style. d. What do results mean? a.
llustration 19.18.. A sample study of the population of two districts gives that in district A the percentage of male population is 52% while this is the figure for the female percentage in the B district. If the size of the sample selected was in district A and B as 400 and 625 respectively, can both of these samples be taken to come from a population where the percentage of males and females is equal?
As a sales analyst for the shoe retailer Foot Locker, one of your responsibilities is measuring store productivity and then reporting your conclusion back to management. Foot Locker uses sales per square foot as a measure of store productivity. While preparing your report for the second quarter results (Q2), you are able to determine that annual sales for last year ran at a rate of $406 per square foot. Therefore, $406 per square foot will be your sales estimate for the population of all Foot Locker stores during Q2. For your Q2 Sales Report, you decide to take a random sample of 64 stores. Using annual data from last year, you are able to determine that the standard deviation for sales per square foot for all 3,400 stores was $80. Therefore $80 per square foot will be your population standard deviation when compiling your Q2 report. Management has asked for the probability that your sample mean based on 64 stores is 1) within $15 and 2) within $5 of the population mean…
A cellphone provider has the business objective of wanting to determine the proportion of subscribers who would upgrade to a new cellphone with improved features if it were made available at a substantially reduced cost. Data are collected from a random sample of 600 subscribers. The results indicate that 131 of the subscribers would upgrade to a new cellphone at a reduced cost. Reducing the price will be profitable if at least 20% of the subscribers would upgrade. Complete parts (a) and (b) below. Question content area bottom Part 1 a. At the 0.01 level of significance, is there evidence that more than 20% of the customers would upgrade to a new cellphone at a reduced cost? Determine the null hypothesis, H0, and the alternative hypothesis, H1. A. H0: π=0.20 H1: π≠0.20 B. H0: π≥0.20 H1: π<0.20 C. H0: π≤0.20 H1: π>0.20 D. H0: π≠0.20 H1: π=
9. Is a Linear Model Appropriate? The number, in thousands, of bacteria in a petri dish is given by the following table. Time is measured in hours. 27This is taken from the Statistical Abstract of the United States and in
Table 1. The manager of Carpet City outlet store needs to be able to forecast accurately demand for Soft Shang carpet. Demand for the past 20 weeks appears in table 1 below. week Demand Forecast Error ABS. Dev Squared Error APE 1 20 2 28 3 22 4 18 5 22 6 22 7 22 8 26 9 23 10 23 11 23 12 27 13 25 14 22 15 23 16 14 17 14 18 15 19 11 20 16 21 22 23 24…
10:38. (a) Construct the cost of living index number from the table given below. Index for 1998 550 Expenditure Group 1. Food Clothing 3. Fuel & Lighting 46% 10% 2. 215 7% 220 12% 4. House Rent 150 25% 5. Miscellaneous 275 (b) How is the overall index number altered: (i) if all the group index numbers are changed in the same ratio ; (ii) if all the weights and group indices are changed in the same ratio ; (iii) if all the tion. group index numbers are increased by 10 and all the weights doubled ? re
The head of company A wants to know the value of sales. Then the sales sample is taken (in thousands) as shown in the following table. 1. Determine whether it can be concluded that the average sales of 2. Company A is Rp. 280,000 per day? 2. Significant level 5% (α = 0.05)

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