Questions 15 through 20. An article in Communications of the ACM reported on a study of differentalgorithms for estimating software development costs. Three algorithms were applied to 15 softwaredevelopment projects and the development costs (hours) were observed. The data are given as below.Algorithm 1 4.7| 4.9 5.8 4.8 3.7Algorithm 2 6.7 5.8 7.7 6 8.7Algorithm 3 8.6 9.6 9.5 10 10.8Consider an ANOVA situation with a significance level a = 0.01.15. Choose the correct quantity to describe the total variability between treatment means.A 60.7413 B672.739171.4373300.7403 E 10.69616. Find the test statistic values.A 36.073 B 38.072917. Find the rejection region.A [3.8, +∞] B [-∞, 6.93]28.0734 D 34.0733 E 32.0732[8.51, +∞] D [-∞, 3.8] E [6.93, +∞]Page 218. Find the least significant difference (LSD) for the Fisher's multiple comparision.(A) 1.8242 0.8843 2.5643 (D) 3.2843 E2.0393

Null hypothesis: There is no difference in the mean development cost from the three…

Answered: Questions 15 through 20. An article in…

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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Consider the following. A A 0 B 4.1 0 C 3.5 5.7 0 Is it possible to fit the data of the table above with a weighted tree of the following shape such that the two edges labeled "x" have the same weight? B Yes, it is possible. O No, it is not possible. с X X Exhibit such an assignment, or show that it is impossible. (Upload your file below. Submit a file with a maximum size of 1 MB.) Browse...
1. The incidence of cancer among phosphate mine workers and their exposure to radiation was investigated. Cancer incidence was recorded among 60 phosphate mine workers who had 0-29 working level months (WLM) of exposure, 60 phosphate mine workers who had 30-89 WLM of exposure, and 60 phosphate mine workers who had 90-120 WLM of exposure. The number of cancer incidences for each group are presented in Table 1. Table 1: Two-way Table of Counts Cancer Incidence Exposure Level Yes No Total 0-29 WLM 20 40 60 30-89 WLM 33 27 60 90-120 WLM 43 17 60 Total 96 84 180 Perform a x? test, at the 5% level of significance, whether cancer incidence rates differ between the three levels of radiation among phosphate mine workers.
The following data are for the throughput, as measured by the number of wafer lots produced per day by different operators (A, B, C, and D) on different machines (each operator used each machine on two different days): Eighty-four working days were needed to collect the data. The numbers in parentheses refer to the days on which the results were obtained. For example, on the first day, operator A produced 17 lots using machine 2, and on the 84th day, operator A produced 18 lots using machine 5. On some days (such as the third day), more than one item of data was collected, and on other days (such as day 40), no data was collected. Analyze the data, stating all assumptions and conclusions.
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Table 1:Age specific population and number of deaths of country A, Country B and Country C Age Country A Country B Population (in Number Population (in of Death Thousand) Number of Death Country C Population (in Thousand) Number of Death group Thousand) 0-9 1050 8287 2684 209598 1857 8179 10-19 2565 6525 4267 9793 3372 4800 20-39 3248 6356 3561 7457 3123 12702 40-59 2884 18295 2981 10451 3724 15221 60+ 1124 39878 2820 24321 1576 26034
Q. 22
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1. 8. 9. actice Problems Jensen Tire & Auto is in the process of deciding whether to purchase a maintenance contract for its new computer wheel alignment and balancing machine. Managers feel that maintenance expense should be related to usage, and they collected the following information on weekly usage (hours) and annual maintenance expense (in hundreds of dollars). Annual Weekly Usage (hours) Maintenance Expense O 18 18 15 23 25 31 33 38 O 37 48 22 32 29 34 36 40 45 53 43 41 a. Develop the estimated regression equation that relates annual maintenance expense (in hundreds of dollars) to weekly usage hours (to 3 decimals). Expense = + Weekly Usage b. Test the significance of the relationship in part (a) at a 0.05 level of significance. Compute the value of the F test statistic (to 2 decimals). The p value is less than 0.01 What is your conclusion? S Conclude that there is a significant relationship between expense and weekly usage c. Jensen expects the new machine to be used 30 hours…
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EXAMPLE 3.20 Suppose a study of speeding violations and drivers who use cell phones produced the following fictional data: Uses cell phone while driving Does not use cell phone while driving Total Table 3.2 Speeding violation in the last year 25 45 70 No speeding violation in the last year 280 405 685 Total Problem a. Find P(Driver is a cell phone user). b. Find P(Driver had no violation in the last year). c. Find P(Driver had no violation in the last year was a cell phone user). d. Find P(Driver is a cell phone user U driver had no violation in the last year). e. Find P(Driver is a cell phone user driver had a violation in the last year). 1. Find P(Driver had no violation last year driver was not a cell phone user) 305 450 *** 755 The total number of people in the sample is 755. The row totals are 305 and 450. The column totals are 70 and 685. Notice that 305 + 450 = 755 and 70 +685 755. Calculate the following probabilities using the table.
1. The incidence of cancer among phosphate mine workers and their exposure to radiation was investigated. Cancer incidence was recorded among 60 phosphate mine workers who had 0-29 working level months (WLM) of exposure, 60 phosphate mine workers who had 30-89 WLM of exposure, and 60 phosphate mine workers who had 90-120 WLM of exposure. The number of cancer incidences for each group are presented in Table 1. Table 1: Two-way Table of Counts Cancer Incidence Exposure Level Yes No Total 0-29 WLM 20 40 60 30-89 WLM 33 27 60 90-120 WLM 43 17 60 Total 96 84 180 Perform a x? test, at the 5% level of significance, whether cancer incidence rates differ between the three levels of radiation among phosphate mine workers.

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