40pempute the Coefficient of Concurrent Deviations from theemployed persons in steel industry, in thousands for 12 months.SubjectOutput ofsteel in 000'sRelativeUnemployed insteel industryMonths.tons000's8.59.29.38.57.25.95.16.67.97.66065616492157130106JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember588050458.29.3

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Answered: 40 Cempute the Coefficient of…

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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Studies are often done by pharmaceutical companies determine the effect of this of a treatment program supposed that a new aids antibiotic drug is currently under study it is given. To patients once the aids symptoms have revealed themselves of interest. Is the average incorporation mean length of time in month patient? Lay. Off? Once starting the treatment 2 researchers each followed a different set of 40 aids patient from the start of the treatment under their death to follow data and months are collected. Researcher A 3, 4, 11, 15, 16, 17, 22, 44, 37, 16, 14, 24, 25, 15, 26, 27, 33, 29, 35, 44, 13, 21, 22, 10, 12, 8, 40, 32, 26, 27, 31, 34, 29, 17, 8, 24, 18, 47, 33, 34 Researcher b 3, 14, 11, 5, 16, 17, 28, 41, 31, 18, 14, 14, 26, 25, 21, 22, 31, 2, 35, 44, 23, 21, 21, 16, 12, 18, 41, 22, 16, 25, 33, 34, 29, 13, 18, 24, 23, 42, 33, 29
All companies are rightly concerned about the income disparity between Males and Females and FringeTech is no different. Is there any evidence in the data that Males are earning more than Females on average? Gender Income ($000) F 94.1 F 69.4 F 81.7 F 72.1 F 90.1 F 84.4 F 77.5 F 124 F 71.2 F 72.1 F 75.7 F 79.8 F 76.7 F 65.1 F 83.8 F 85.8 F 70.6 F 93.3 F 80.1 F 80.8 F 85.5 F 62.1 F 88.5 F 88.2 F 110.3 F 124.6 F 97.6 F 82.4 F 58.2 F 75.5 F 75.1 F 70.5 F 83.9 F 95.5 F 150.2 F 84.4 F 88.7 F 135.4 F 72.3 F 65.5 F 80.3 F 136.8 F 75.8 F 47.5 F 86.6 F 64.4 F 99.3 F 40 F 69.1 F 107.7 F 74.7 F 90.3 F 82.2 F 97 F 125.3 F 111.1 F 60.4 F 102.7 F 89 F 69.4 F 61.6 F 93.1 F 87.2 F 67.7 F 130.6 F 83.2 F 50.4 F 132.7 F 69.1 F 103.6 F 80.2 F 73.9 F 56.3 F 130.2 F 80.7 M 83.1 M 95.4 M 128.2 M 127.3 M 96.8 M 94 M 125.5 M 107.2 M 92.4 M…
Question (c) Compute cumulative frequencies and cumulative relative frequencies.(d) What is the percentage of days when more than 6 books were stolen?
industrial workers during the years 1980-87. The consumer price indices for these years with 1980 as base we 10-35. The table given below shows the average wages in rupees per week of a group of are also shown: : 1980 Year Average Wage of Workers (Rs.) . Consumer Price Index () Determine the Real Wage of workers during the years 1980-87 as compared with their wages in 1981 1982 1983 1984 1985 1986 1987 119 133 144 157 175 184 189 194 100 107-6 106-6 107-6 116-2 118-9 119-8 120-2 1980. (ii) Determine the purchasing power of Rupee for the year 1987 as compared te the year 1980. What is the significance of this result ? res
4
1.16 Income and education in US counties: The scatterplot below shows the relationship between per capita income (in thousands of dollars) and percent of population with a bachelor's degree in 3,143 counties in the US in 2010. Per capita income (in $1,000) 60- 40 20 10 30 Percent with Bachelor's degree a) What is the explanatory variable? Percent with a Bachelor's Degree Per Capita Income (in $1000s) b) What is the response variable? Per Capita Income (in $1000s) Percent with a Bachelor's Degree 50 c) Describe the relationship between the variables. no relationship weak negative strong negative weak positive strong positive 70
A federal regulatory agency is investigating an advertised claim that a certain device can increase the gasoline mileage of cars (mpg). Ten such devices are purchased and installed in cars belonging to the agency. Gasoline mileage for each of the cars is recorded both before and after installation. The data are recorded here. Car 1 2 3 4 5 6 7 8 9 10 n x s Before (mpg) 19.1 29.9 17.6 20.2 23.5 26.8 21.7 25.7 19.5 28.2 10 23.22 4.25 After (mpg) 25.8 23.7 28.7 25.4 32.8 19.2 29.6 22.3 25.7 20.1 10 25.33 4.25 Change (mpg) 6.7 −6.2 11.1 5.2 9.3 −7.6 7.9 −3.4 6.2 −8.1 10 2.11 7.54 (a) The cars in the study appear to have grossly different mileages before the devices were installed. Use the change data to test whether there has been a significant gain in mileage after the devices were installed. Use ? = .05. H0: ?after ?before Ha: ?after ?before t = p-value
00 00 00 00 0 ies/snapshot.aspx es with the most l consumption. affect between ts each year. of which over a aber of college eath, or health health prob- ou find n(A)? in the is listed in ell. 2014 5 358,079 198,770 173,096 117,298 104,633 98,854 97,246 92,162 87,604 62,409 bularity popu- 97. Identity theft is now one of the most costly crimes in the United States, and younger adults are often affected. Of 251,000 identity theft complaints made to the FTC in 2015, over 30% of the victims were under the age of 30. The following charts show types of identity theft fraud reported in 2015 and the percentage of victims by age. Types of Identity Theft Fraud Reported in 2015 Employment fraud 3.3% Source: ftc.gov 35 30 Loan fraud 3.5% Bank fraud 5.9% 25 20 15 10 5 0 Utilities/ phone fraud 9.9% 5 Other 19.2% 14 Credit card fraud 15.8% Percentage of Victims by Age bad 109 16 20 24 Government documents/benefits 49.2% 21 Under 20 20-29 30-39 40-49 50-59 60 & over (a) List the set of the two types…
3.4 and 3.4 only
(6) Fill the following table that comes from the expenditure per week of you and your sibling (brother or sister) on food: Expenditure You (in Rs.) 30-60 Your sibling 60-90 90-120 120-150 150-180 180-210 210-240 Which one is more consistent in expenditure on food and which spends more on food? Also explain the descriptive statistics used in this questions. Answer: Q. No.3
А B Overtime earnings 1 (OMR) 13 No. of employees (f) 2 0s 10 3 10 s 20 11 4 20 s 30 5 30 s 40 25 18 6 40 < 50 7 50 s 60 2 8 8 60 s 70 9 70 < 80 10 80s 100 8 100 11 sum From the table above B. Construct a less than cumulative frequency curve for the data above. c. Use the cumulative frequency graph to estimate the median.
17 first drop down- more than 5% points apart or within 5% points of eachother second drop down- less than, about the same, more than

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