Calculate Co-efficient of Range from the following data:weekly Wages ($)50-6060-7070-8080-9090-100100-110 110-120No.of labourers50454540353030

Formula for Co-efficient of range Co-efficient of range=(L-S)/(L+S) L=largest observations…

Answered: Calculate Co-efficient of Range from…

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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5.a) Find the number of men getting wages between Rs. 5 and Rs. 35 from the following table: Wages (in Rs.): 0-10 10 – 20 20 – 30 30 – 40 No. of men: 9. 30 35 42
10. From the following data of the daily wage of 500 workers of a factory find the number of workers : (a) whose wages are more than Rs. 370 but not more than Rs. 400. (b) whose wages are less than Rs. 370 but not less than Rs. 350. 0412 Wages not exceeding Rs. 300 = 150 workers Wages not exceeding Rs. 350 = 180 workers Wages not exceeding Rs. 400 = 240 workers Wages not exceeding Rs. 450 = 400 workers Wages not exceeding Rs. 500 = 500 workersdo orw atnebute
Given the following data : Year: 1992 1993 1994 1995 1996 1997 1998 Weekly take home Pay (Rs.): 105 110 115 125 135 140 145 Consumer Price index : 113 118 127 138 144 150 160 (i) What was the real average of weekly pay for each (ii) In which year did the employee have the greatest buying power ? (iii) What percentage increase in the weekly pay for the year 1998 is require (if any) to compensate him with the purchasing power in the yearda his highest real pay ? year
7. Make a bar graph presentation of the monthly rainfall over a period of one year, when given: MONTH RAINFALL (mm/mo) MONTH RAINFALL (mm/mo) JAN 5.8 JULY 395.2 FEB 2.3 AUG 517.5 MAR 4.3 SEPT 395.6 APR 13.3 ОСТ 152.2 MAY 186.9 NOV 35.0 JUNE 281.3 DEC 3.3 Discuss and describe the result.
20. Represent the following data by means of histogram. Weekly wages No. of workers Weekly wage No. of workers 7 30 40 40 -60 60 80 10-15 19 12 15-20 12 27 20-25 8 15 25-30
Provide an appropriate chart for the following data
The following table shows the time spent by 200 students in watching television programs during in months: Time (in hours) Number of Students less than 10 8 10-20 16 20–30 26 30-40 20 40-50 30 50–60 40 60–70 20 70-80 18 80–90 16 more than 90 6 Calculate: (i) the number of students spending up to 25 hours. (ii) the number of students spending at least 55 hours.
Example 31. Plot Less than Ogive and More than Ogive for the following data: Cost of production 4 - 6 6 - 8 8 – 10 10 – 12 12 – 14 14 – 16 | No. of farms 13 111 182 105 19
In agricultural economics, a “supply response function” describes how supply of a commodity responds to changes in the price of that commodity. Year Seeded Area (hectares) Harvested Area (hectares) Average Yield (kg per ha) Production (tonnes) Price per Tonne ($/tonne) 1966 1,317,000 1,317,000 1,630 2,150,000 65 1967 1,424,000 1,424,000 1,720 2,449,000 60 1968 1,376,000 1,376,000 1,800 2,477,000 48 1969 1,012,000 1,012,000 1,720 1,742,000 46 1970 567,000 567,000 1,465 830,000 52 1971 1,019,000 1,019,000 1,975 2,014,000 50 1972 1,052,000 1,052,000 1,785 1,878,000 68 1973 1,214,000 1,214,000 1,725 2,095,000 158 1974 1,133,000 1,133,000 1,415 1,605,000 147 1975 1,255,000 1,255,000 1,690 2,123,000 130 1976 1,538,000 1,538,000 1,820 2,803,000 103 1977 1,295,000 1,295,000 2,125 2,749,000 98 1978 1,376,000 1,376,000 2,055 2,831,000 133 1979 1,214,000 1,214,000 1,680 2,041,000 170 1980 1,336,000 1,336,000 1,425 1,905,000 203 1981 1,577,900 1,577,900…
Which of the following belongs to lagging indicators A. Manufacturers' new orders B. Stock prices, 500 common stocks C. Average duration of unemployment D. Industrial production
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
Please use excel.

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Calculate Co-efficient of Range from the following data: weekly Wages ($) 50-60 60-70 70-80 80-90 90-100 100-110 110-120 No.of labourers 50 45 45 40 35 30 30