DATTA MEGHE INSTITUTEOF MANAGEMENT STUDIES SDMP CAMPUS, Atrey Layout, Nagpur -22 QUANTATIVE TECHNIQUES WORKSHEET SEMESTER -I D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 1 UNIT I: MEASURES OF CENTRAL TENDENCY AND DISPERSION CLASS WORK PROBLEMS 1. Calculate mean from the following data: R No. 1 2 3 4 5 6 7 8 9 10 Marks 40 50 55 78 58 60 73 35 43 48 (soln - = 54 marks) 2. Calculate mean from the following data: Value 1 2 3 4 5 6 7 8 9 10 Frequency 21 30 28 40 26 34 40 9 15 57 (soln - = 5.72) 3. From the following find out the mean profits: Profits per shop Rs. Number of Shops 100 – 200 10 200 – 300 18 300 – 400 20 400 – 500 26 500 – 600 30 600 – 700 28 700 – 800 18 (soln - = 486 ) 4. The following are the marks scored by 7 students, find out the median marks: Roll Number Marks 1 45 2 32 3 18 4 37 5 65 6 38 7 46 (soln - M = 45) 5. Find out the median from the following: 57 58 61 42 38 65 72 66 (soln - M = 59.5) 6. Locate median from the following: Size of Shoes Frequency 5 10 5.5 16 6 28 6.5 15 7 30 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 2 7.5 8 40 34 (soln - M = 7) 7. Calculate the median from the following table: Marks Frequency 10 – 25 6 25 – 40 20 40 – 55 44 55 – 70 26 70 – 85 3 85 – 100 1 (soln - M = 48.18 marks) 8. The following table shows age distribution of persons in a particular region: Age (years) No. of Persons Age (years) No. of Persons (‘000) (‘000) Below 10 2 Below 50 14 Below 20 5 Below 60 15 Below 30 9 Below 70 15.5 Below 40 12 70 and above 15.6 Find the median age. (soln - M = 27 years) 9. Calculate the mode from the following: Size Frequency 10 10 11 12 12 15 13 19 14 20 15 8 16 4 17 3 18 2 (soln - Z = 13) 10. Calculate the mode from the following: Size of Item Frequency 0–5 20 5 – 10 24 10 – 15 32 15 – 20 28 20 – 25 20 25 – 30 16 30 – 35 34 35 – 35 10 40 – 45 8 (soln - Z = 13.33) D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 3 11. Calculate the semi inter-quartile range and quartile coefficient from the following: Age in Years No. of members 20 3 30 61 40 132 50 153 60 140 70 51 80 3 (soln – Q.D =10 years, Co-eff. Q.D =0.2) 12. Calculate the range and semi-inter quartile range of wages: Wages (Rs.) Labours 30 – 32 12 32 – 34 18 34 – 36 16 36 – 38 14 38 – 40 12 40 – 42 8 42 – 44 6 Also calculate the quartile coefficient of dispersion. (soln – Q.D =2.85, Co-eff. Q.D =0.08) 13. Calculate mean deviation from mean and median for the following data. 100 150 200 250 360 490 500 600 671 Also calculate coefficient of mean deviation. (soln – M.D =174.44, Co-eff. M.D =0.48) 14. Calculate mean deviation from the following data: x 2 4 6 8 10 f 1 4 6 4 1 (soln – M.D =24, Co-eff. M.D =1.5) 15. Calculate the mean deviation from mean for the following data: Class interval 2-4 4-6 6-8 80-10 Frequency 3 4 2 1 (soln – M.D =5.2, Co-eff. M.D =1.48) 16. Calculate the standard deviation from the following data: 14 22 9 15 20 17 12 11 (soln – σ = 4.18) D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 4 17. Find the missing frequency from the following data, given mean is 16.82. Marks Frequency 0–5 10 5 – 10 12 10 – 15 16 15 – 20 ? 20 – 25 14 25 – 30 10 30 – 35 8 (soln – missing frequency is 18.235 or 18) 18. Calculate standard deviation from the following: Marks No. of Students 10 8 20 12 30 20 40 10 50 7 60 3 (soln – σ = 13.45) 19. Compute the standard deviation and mean deviation from the following: Class (x) 0-10 10-20 20-30 30-40 40-50 50-60 Frequency (f) 8 12 17 14 9 7 (soln – σ = 16.67) 60-70 4 20. The daily temperature recorded in a city in Russia in a year is given below: Temperature ‘C’ No. of Days -40 to -30 10 -30 to -20 28 -20 to -10 30 -10 to 0 42 0 to 10 65 10 to 20 180 20 to 30 10 Calculate the mean and standard deviation. (soln – σ = 14.73ºC) 21. The index numbers of prices of cotton and coal shares in 2007 were as under: Month Index number of prices of Index number of prices of cotton shares coal shares January 188 131 February 178 130 March 173 130 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 5 April 164 129 May 172 129 June 183 120 July 184 127 August 185 127 September 211 130 October 217 137 November 232 140 December 240 142 Which of the two shares do you consider more variable in price? (soln- σ = 12.28%, 4.42%) 22. In two factories A and B, engaged in the same industrial area the average weekly wages (in rupees) and the standard deviations are as follows: Factory Average Standard Deviation No. of Workers A 34.5 3 476 B 28.5 4.5 524 a. Which factory A or B pays out a larger amount as weekly wages? b. Which factory A or B has greater variability in individual wages? (soln- 15.79%) SELF PRACTICE PROBLEMS Q.1 Calculate Mean from the following data. Years 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 Q.2 Production 12 17 19 23 19 25 28 19 27 26 28 12 14 18 19 Calculate Mean from the following data. Height in inches 60 62 63 64 65 66 No. of Persons 5 13 18 20 21 30 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 6 67 68 69 70 23 12 4 2 Q.3 Calculate Mean from the following data. Income in Rs. 0-100 100-200 200-300 300-400 400-500 500-600 600-700 700-800 No. of Persons 5 10 12 16 27 10 15 5 Q.4 Calculate Mean from the following data. Marks 10-20 20-30 30-40 40-50 50-60 60-70 70-80 80-90 90-100 100-110 No. of Students 1 3 6 11 9 11 7 6 3 1 Q.5 Calculate Mean from the following data. Income 1-50 51-100 101-150 151-200 201-250 251-300 301-350 351-400 401-450 No. of Persons 10 22 29 40 55 32 21 17 12 Q.6 Calculate Mean from the following data. Marks 0-9 10-19 20-29 30-39 40-49 50-59 60-69 70-79 No. of students 2 4 23 30 40 45 35 25 Q.7 Calculate Mean from the following data. D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 7 Central Value 7 12 17 22 27 32 37 Q.8 Frequency 8 18 27 21 10 28 7 Calculate Mean from the following data. Income 100-200 200-300 300-400 400-500 500-600 600-700 700-800 800-900 900-1000 Frequency 10 5 15 10 20 20 9 6 5 Q.9 The no. of run score by Kapil Dev and Gavaskar during 10 one day international matches th of 4 world cup shown below – Kapil Dev Gavaskar 5 40 20 35 90 60 76 62 102 58 90 76 6 42 108 30 20 30 16 20 a) Who is the better run getter? b) Who is more consistent (stayable)? Q.10 In 10 test matches Gavaskar and Vengasarkar scored the following runs – Gavaskar Vengasarkar 65 73 105 17 110 92 27 99 30 13 70 2 80 13 90 94 95 97 97 98 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 8 Q.11 Q.12 Q.13 Calculate the standard deviation from the following data. Income in Rs. 2542 2522 2534 2532 2545 2566 2550 Calculate the standard deviation from the following data:Marks 20 22 24 26 28 30 No. of students 9 13 19 22 24 21 34 14 36 10 No. of students 6 21 44 27 4 Find out range and it’s co-efficient Size of Item 15 20 22 25 30 32 35 Q.15 32 18 Calculate the standard deviation Marks 10-25 25-40 40-55 55-70 70-85 Q.14 2530 Frequency 2 5 7 8 3 5 6 Find out range and it’s co-efficient Marks 10-20 20-30 30-40 40-50 50-60 60-70 70-80 80-90 Frequency 2 3 7 20 25 10 8 2 HOME WORK PROBLEMS Q.1 Calculate Mean from the following data. Sr. No 1 2 3 4 5 6 7 8 9 10 Q.2 Income 12 14 16 14 14 18 16 10 16 14 Calculate Mean from the following data. Wages 2 3 4 5 6 7 No. of employment 7 13 17 20 21 19 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 9 8 9 10 11 12 Q.3 Calculate Mean from the following data. Wages in Rs. 3 10 15 20 25 30 35 40 Q.4 16 11 6 4 2 No. of works 5 5 15 10 15 10 3 2 Calculate Mean from the following data. Wages 10 15 20 25 30 35 40 45 50 55 No. of workers 5 7 9 13 17 17 13 9 7 2 Q.5 Calculate Mean from the following data. Income 300-325 325-350 350-375 375-400 400-425 425-450 450-475 475-500 Frequency 5 17 80 227 326 248 88 9 Q.6 Calculate Mean from the following data. Class 1-3 3-5 5-7 7-9 9-11 11-13 13-15 15-17 Frequency 6 53 85 56 21 16 4 4 Q.7 Calculate Median from the following data. No. of eggs No. of Hens D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 10 0-29 30-59 60-89 90-119 120-149 150-179 180-209 210-239 240-269 270-300 3 4 12 33 69 92 50 25 11 1 Q.8 Calculate Median from the following data. Marks 0-10 10-20 20-22 22-27.5 27.5-30 30-40 40-47 47-50 50-60 60-65 65-70 No. of students 10 15 5 17 3 25 8 2 10 3 2 Q.9 Calculate Median from the following data. Income 0-10 10-20 20-30 30-35 35-40 41-50 50-60 60-66 66-6+8 68-70 70-80 80-90 No. of Pensions 1 4 10 12 10 30 35 6 3 1 7 1 Q.10 Calculate Median from the following data. Size 10-15 16-17.5 17.5-20 22-30 30-35 35-40 45 and onwards Frequency 10 15 17 25 28 30 40 Q.11 Calculate Mode from the following data. Mid Value 15 25 35 45 55 Frequency 5 10 14 21 21 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 11 55 75 85 Q.12 Calculate Mode from the following data. Age 20 30 40 50 60 70 80 Q.13 No. of students 3 61 132 154 140 51 2 Calculate Mode from the following data. Marks More than 70% More than 60% More than 50% More than 40% More than 30% More than 20% Q.14 15 11 3 Students 7 18 40 40 63 65 Following are the share prices of two companies Amar & Co 318 322 325 312 324 315 308 319 Vijay & Co 2542 2522 2534 2532 2545 2530 2566 2550 Q.15 Prices of a particular commodity in five years in two cities are given belowPrice in city ‘A’ 20 22 19 23 16 Price in city ‘B’ 10 20 18 22 25 Find from the above data the city which had more stable prices? Q.16 Find out standard deviation by direct method. Income in Rs. 3000 4000 4200 4400 4600 4800 5800 Q.17 Calculate the standard deviation from the following dx -4 -3 -2 -1 0 +1 +2 +3 Q.18 Frequency 3 6 9 19 24 25 9 5 Find out range and its coefficient Age 30 Frequency 2 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 12 40 50 60 70 80 90 100 110 Q.19 3 9 10 17 12 3 3 3 Find out range and its coefficient from the following data Marks Less than 10 Less than 15 Less than 20 Less than 25 Less than 30 Less than 35 Less than 40 Student 7 12 18 24 35 49 61 UNIT II: REGRESSION ANALYSIS CLASS WORK PROBLEMS Q.1) Calculate the coefficient of correlation and obtain the lines of regression for the following: Year 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 No. of 15 18 17 20 23 25 29 33 36 40 Students Obtain an estimate of y which should correspond to the average x=6.2 (ans –y=013.14) Q.2) Find the regression equations from the following data Age of Husband 18 19 20 21 22 23 Age of wife 17 17 18 18 19 19 24 19 Q.3) Given data X 1 Y 6 3 5 5 1 3 0 2 0 1 1 1 2 7 1 25 20 26 21 27 22 a) Fit a regression line of Y on X and hence predict “X” if Y=2 b) Fit a regression line of X and Y and hence predict Y if X=5 c) Karl Pearson’s coefficient of correlation Q.4) Given ‘X’ Mean 18 Standard deviation 14 ‘Y’ 100 20 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 13 ‘r’ between X and d Y = 0.8 a) Find out most probable value of Y if X is 70 and most probable value of X if Y = 90 b) If regression coefficient are 0.8 and 0.6 what would be the value of coefficient of correlation. Q.5) From the following data, write down the equations to the regression lines Average S.D Marks in Mathematics 48.4 8.4 Marks in English 35.6 10.5 Correlation co-efficient = 0.8 Estimate the marks in mathematics corresponding to 70 marks in English HOME WORK PROBLEMS Q.1) From the following data of the age of husband and age of wife form two regression lines and calculate the husband’s age when the wife’s age is 16. Age of Husband 36 23 27 28 28 29 30 31 33 35 Age of wife 29 18 20 22 27 21 29 27 29 28 Q.2) Find the regression equation of X on Y and Y on X from the following data X 10 20 30 40 50 60 Y 15 5 10 25 30 40 Obtain the estimate of Y when X = 22 Q.3) The following scores were worked out from a test in Mathematics and English in an annual examination. Marks in Mathematics Marks in English Mean 39.5 47.5 Standard deviation 10.8 16.8 Coefficient of correlation = 0.42 a) Find both regression equations b) Estimate the value of Y when X=50 c) Value of X when Y = 30 Q.4) The coefficient of correlation between production and sales of a certain product was found to be 0.8 over a period of 50 weeks. Average production per week was 25 tonnes and average sales per week were Rs. 20 lakhs. Coefficient of variation was 16 and 25 respectively. By using linear regression, estimate. a) The production when sales would amount to Rs. 30 lakhs b) The sales when the production would become 25 tonnes. Q.5) Obtain the regression equation of Y on X and X on Y and the value of coefficient of correlation from the following table giving the marks in Accountancy and statistics Marks in Marks in Accountancy statistics 5-15 15-25 25-35 35-45 Total 0-10 1 1 2 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 14 10-20 20-30 30-40 40-50 Total 3 1 5 6 8 3 18 5 9 9 4 27 1 2 3 4 10 5 20 15 8 60 Q.6) Following is the distribution of students according to their height and weight Height in Weight in Lbs inches 90-100 100-110 110-120 120-130 50-55 55-60 60-65 65-70 4 6 6 3 7 10 12 8 5 7 10 6 2 4 7 3 Q.7) Calculate correlation coefficient and regression coefficient for the following data X 2 4 6 8 10 12 14 Y 4 2 5 10 4 11 12 Find the estimate of y when x = 13 Q.8) Calculate the following: a) The regression equation of X on Y and Y on X from the following data. b) Estimate X when Y = 20 X 10 12 13 17 18 Y 5 6 7 9 13 Q.9) From the following find: the two lines of regression and correlation coefficient Marks in 25 28 35 32 31 36 29 38 34 economics Marks in 43 46 49 41 36 32 31 30 33 statistic D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I 32 39 Page 15 Unit III: Correlation Analysis CLASS WORK PROBLEMS 23. Calculate the coefficient of correlation and obtain the lines of regression for the following: x 1 2 3 4 5 6 7 8 9 y 9 8 10 12 11 13 14 16 15 Obtain an estimate of y which should correspond to the average x=6.2 (Ans –y=013.14) (problem 13.7, page 481) 24. Calculate coefficient of correlation from the following data: x 12 9 8 10 11 13 7 y 14 8 6 9 11 12 3 (Ans – + 0.95) (problem 12.2, page 402) 25. Find if there is any significant correlation between the heights and weights given below: Height in inches 57 59 62 63 64 65 55 58 57 Weight in lbs 113 117 126 126 130 129 111 116 112 (Ans – + 0.98) (problem 12.3, page 402) 26. Find out the coefficient of correlation in the following case: Height of Father (in inches) 65 66 67 67 68 69 71 73 Height of Son(in inches) 67 68 64 68 72 70 69 70 (Ans – 0.472) (problem 12.5, page 405) 27. Following are the rank obtained by 10 students in two subjects. Statistics and Mathematics. To what extent the knowledge of the students in the two subjects is related? Statistics 1 2 3 4 5 6 7 8 9 10 Mathematics 2 4 1 5 3 9 7 10 6 8 (Ans – +0.76) (problem 12.13, page 417) 28. A random sample of 5 college students is selected and their grades in Mathematics and Statistics are found to be: 1 2 3 4 5 Mathematics 85 60 73 40 90 Statistics 93 75 65 50 80 (Ans – +0.8) (problem 12.14, page 418) 29. From the following data calculate the rank correlation coefficient after making adjustment for tied ranks. x 48 33 40 9 16 16 65 24 16 57 y 13 13 24 6 15 4 20 9 6 19 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 16 (ans – 0.733) (problem 12.15, page 419) 30. Calculate coefficient of correlation between the marks obtained by a batch of 100 students in Accountancy and Statistics as given below: Marks in Marks in Accountancy Statistics 20-30 30-40 40-50 50-60 60-70 Total 15-25 5 9 3 17 25-35 10 25 2 37 35-45 1 12 2 15 45-55 4 16 5 25 55-65 4 2 6 Total 5 20 44 24 7 100 (ans – 0.7953) (problem 12.10, page 411) 31. Calculate coefficient of correlation between the marks obtained by a batch of 100 students in Accountancy and Statistics as given below: Income (Rs.) Savings (Rs.) 50 100 150 200 Total 400 8 4 12 600 12 24 6 42 800 9 7 2 18 1000 10 5 15 1200 9 4 13 Total 8 25 50 17 100 Calculate the coefficient of correlation between income and savings (Ans – 0.523) (problem 12.18, page 424) 32. Compute the coefficient of correlation between dividends and price of Securities as given below: Secutiry Price Amount Dividends (in Rs.) (Rs.) 6-8 8-10 10-12 12-14 14-16 16-18 130-140 1 3 4 2 120-130 1 3 3 3 1 110-120 1 2 3 2 100-110 2 3 2 90-100 2 2 1 1 80-90 3 1 1 70-80 2 1 (Ans – 0.755) (problem 12.36, page 438) SELF PRACTICE PROBLEM Q.1 – Find out correlation by the help of following information. Import – 21, 29, 20,22,18,16,20,24,26 Price Index – 125,128,120,118,118,125,130,125,120 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 17 Q.2 – Find out correlation Age of Husbands – 20, 25, 30,35,40,45,50,55,60 Age of wives – 16, 20, 23,25,33,38,46,50,55 Q.3 – Calculate coefficient of correlation from the following table x/y 30-40 4050-60 60-70 Total 50 30-40 3 1 1 5 40-50 2 6 1 2 11 50-60 1 2 2 1 6 60-70 1 1 1 3 Total 6 10 5 4 25 Q.4 – Find out coefficient of correlation and probable error. Calculate coefficient of correlation from the following table Age of wives Age of 1525-35 35455565Total Husband 25 45 55 65 75 15-25 1 1 2 25-35 2 12 1 15 35-45 4 10 1 15 45-55 3 6 1 10 55-65 2 4 2 8 65-75 1 2 3 Total 3 17 14 9 6 4 53 Q.5 –Calculate correlation and probable error Salary 6070-80 80-90 90-100 100-110 70 Age 20-30 4 3 1 30-40 2 5 2 1 40-50 1 2 3 2 1 50-60 1 3 5 2 60-70 1 1 5 Total 7 11 10 9 8 Total 8 10 9 11 7 45 Q.6 Find out rank coefficient of correlation X – 80 91 99 71 61 81 70 59 Y – 123 135 154 110 105 134 121 108 Q.7 Find out correlation X – 78 90 97 69 59 79 68 67 Y – 125 37 156 112 107 136 123 108 Q.8 Find out correlation X – 75 88 95 70 60 80 71 50 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 18 Y – 120 134 150 115 110 140 142 100 HOME WORK PROBLEMS Q.1 – Find out correlation and probable error Year - 1925,1926,1927,1928,1929,1930,1931,1932,1933,1934 Av. Daily – 368,384,385,361,347,384,395,403,400,385 No. of workers (in hundred) Consumer – 32,21,24,20,22,26,29, (in lakh) 26,28,27 Q.2 - Find out correlation and probable error City – 1,2,3,4,5,6,7,8,9,10,11,12 Employment – 22,31,90,82,43,65,59,16,61,48,35,50 Annual sales – 250,200,980,850,710,280,680,180,670,920,190,960 Q.3 Find out correlation and probable error X – 8.0, 7.8, 7.5, 7.5, 6.8, 6.7, 6.0, 5.9 Y – 1.2, 1.3, 1.4, 1.4, 1.4, 1.6, 1.5, 1.7 Q.4 – Find out coefficient correlation Marks in B.O 55-65 45-55 35-45 25-35 15-25 20-30 5 30-40 8 12 Marks in statistics 40-50 50-60 24 15 29 - 60-70 6 1 - Q.5 – Find out coefficient of correlation Test “B” 140-149 150-159 160-169 170-179 180-189 110-119 27 7 9 5 1 120-129 20 28 18 9 - Q.6 – Find out coefficient correlation Total cultivable area (in area) Area of Wheat 0 500 1000 0 12 6 200 2 18 4 400 4 7 600 1 800-1000 Q.7 Find out correlation Test “A” 130-139 140-149 10 3 20 8 28 10 10 10 1 7 1500 2 3 2 1 150-159 3 5 6 160-169 5 1 2000-2500 1 1 2 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 19 X – 60 77 70 80 77 75 70 70 70 60 Y – 50 69 65 75 69 65 65 60 55 50 Q.8 Find out correlation X – 81 79 80 78 79 75 77 73 74 Y – 79 78 81 77 77 73 78 75 73 Q.9 Find out correlation X – 44 37 40 37 32 30 26 25 22 20 Y – 48 42 41 30 32 40 29 26 25 23 Q.10 Find Karl Pearson’s coefficient of correlation from the following dataWages 100 101 102 102 100 99 97 98 96 95 Cost 98 99 99 97 95 92 95 94 90 91 of living Q.10 Find coefficient of correlation in the following case Height 65 66 67 68 69 71 73 of father (in inches) Cost of 67 68 64 72 70 69 70 living Q.11 A random sample of 5 college students is selected and their grades in Mathematics and Statistics are found to be – Statistics 1 2 3 4 5 6 7 8 9 10 Mathematics 2 4 1 5 3 9 7 10 6 8 Q.12 From the following data calculate the rank correlation coefficient after making adjustment for tied ranksX 48 33 40 9 16 16 65 24 16 57 Y 13 13 24 6 15 4 20 9 6 19 Q.13 Calculate the Karl Pearson’s coefficient of correlation from the following data-(Winter 2002) X 1 2 3 4 5 6 7 Y 3 5 6 8 10 11 13 Q.14 Calculate the Karl Pearson’s coefficient of correlation between the advertising expenses and the sales given below-(Summer 2003) Advertising 39 65 62 90 82 75 25 98 36 78 exp (Rs) Sales (Rs) 47 53 58 86 62 68 60 91 51 84 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 20 Q.15 Calculate the coefficient of correlation for the following data of marks obtained by 10 students in QTM and MSD (Winter 2005) Roll 1 2 3 4 5 6 7 8 9 10 No QTM 80 38 9 5 30 74 84 91 60 66 MSD 36 06 17 14 25 10 32 00 03 20 Q.16 Find Karl Pearson’s coefficient of correlation between sales and expenses of following 10 firms. Interpret your result: (Winter 2012) Firms 1 2 3 4 5 6 7 8 9 10 Sales 50 50 55 60 65 65 65 60 60 50 Expense 11 13 14 16 16 15 15 14 13 13 Q.17 Ten competitors in a beauty contest are ranked by three judges in following order. Use spearman’s rank correlation coefficient to determine which pair of judges has nearest approach to common test in beauty (Winter 2012) Judge 1 1 6 5 10 3 2 4 9 7 8 Judge 2 3 5 8 4 7 10 2 1 6 9 Judge 3 6 4 9 8 1 2 3 10 5 7 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 21 UNIT IV: TIME SERIES ANALYSIS AND FORECASTING CLASS WORK PROBLEMS 1 Draw a trend line by the method of semi averages. Year 2002 2003 2004 2005 2006 Sales (000) 60 75 81 110 106 (problem 15.2, page 597) 2007 120 2 Draw a trend line by the method of semi averages. Year 2001 2002 2003 2004 2005 Sales (000) 110 105 115 112 120 (problem 15.3, page 598) 2006 118 3 2007 130 Calculate the coefficient of correlation and obtain the lines of regression for the following: Year 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 No. of 15 18 17 20 23 25 29 33 36 40 Students Obtain an estimate of y which should correspond to the average x=6.2 (Ans –y=013.14) (problem 15.4, page 599) 4 The following figures relate to the profits of a commercial concern for 8 years Year 2000 2001 2002 2003 2004 2005 2006 2007 Profits (Rs) 15420 14470 15520 21020 26120 31950 35370 34670 Find the trend of profits by the method of moving averages. (problem 15.5, page 600) 5 The following figures relate to the profits of a commercial concern for 8 years Year 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 Production 464 515 518 467 502 540 557 571 586 612 (in million lb) (problem 15.6, page 601) 6 Calculate trend values by the method of least square from the data given below and estimate the Year 2003 2004 2005 2006 2007 Sales of Co. A (Rs. 70 74 80 86 90 Lakhs) (problem 15.7, page 603) D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 22 7 Calculate trend value from the following data using the method of least square Year 2002 2003 2004 2005 2006 2007 Production 7 9 12 15 18 23 (problem 15.8, page 604) 8 The following figures relate to the profits of a commercial concern for 8 years Year 2001- 2002- 2003- 2004- 2005- 20062002 2003 2004 2005 2006 2007 Asset 83 92 71 90 169 191 Also estimate the figures for 2011-12,(Ans Rs. 285.50 crores) (problem 15.9, page 605) SELF PRACTICE PROBLEMS Q.1 – Draw a trend line by the method of semi – averages Year 1997 1998 1999 2000 2001 2002 Sales 60 75 81 110 106 120 (‘000) Q.2 – Draw a trend line by the method of semi –averages Year 1996 1997 1998 1999 2000 2001 2002 Sales 110 105 115 112 120 118 130 (‘000) Q.3 – Calculate three yearly moving averages of the following data: 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 Year No. of 15 16 17 20 23 25 29 33 36 40 students Q.4 – Assuming a four yearly cycle calculate the trend by the method of moving averages from the following data relating to the production of tea in India 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 Year Prod. 464 515 518 467 502 540 557 571 586 612 (Quintals Q.5 – Calculate trend value by the method of least square from the data given below and estimate the sales for 2006 Year 2000 2001 2002 2003 2004 Sales (Rs. 76 74 80 86 90 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 23 Lakhs) Q.7 - Calculate trend value from the following data using the method of least square. Year 1994 1995 1996 1997 1998 1999 Prod 7 9 12 15 18 23 (Kg) Q. 8 – Calculate the trend values by the method of least squares from the data given below and estimate the sales for 1983 : (Winter 2003) Year 1976 1977 1978 1979 1980 Sales (Rs. Lakhs) 70 74 80 86 90 HOME WORK PROBLEMS Q.1 – Calculate three yearly and five yearly moving averages of the following data Year Prod (Kg) Year Prod (Kg) 1991 15 1998 56 1992 21 1999 63 1993 30 2000 70 1994 36 2001 74 1995 42 2002 82 1996 46 2003 90 1997 50 2004 95 Q.2 – Calculate five yearly moving averages of the following data; Year Students Year Students 1991 332 1998 427 1992 317 1999 428 1993 357 2000 407 1994 392 2001 438 1995 402 2002 450 1996 405 2003 470 1997 410 2004 480 Q.3 – Calculate three yearly and four yearly moving averages of the data given below to obtain trend value: (Summer 2005) Year 1 2 3 4 5 6 7 8 9 10 Figure 110 104 78 105 109 120 115 110 114 122 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 24 Year 11 12 13 14 15 16 17 18 19 20 Figure 130 127 122 118 130 140 135 130 127 135 Year 21 22 23 24 25 26 27 28 29 30 Figure 146 142 138 135 145 155 150 148 143 156 Q.4 – Below are given the figures of production (in million tones) of a sugar factory: Year 2000 2002 2003 2004 2005 2006 2009 Prod 77 88 94 85 91 98 90 (Million tones) Fit a straight line by the method of least square and tabulate the trend values. Q.5 - (Winter 2012) – Fit a trend line equation using the least square method to estimate production for the year 1973 & 1985: Year 1975 1977 1979 1981 1982 Prod 18 21 23 27 16 Q.6 – (Winter 2012) – From the following series of annual data, find the trend by method of semi-averages. Also estimate values for 2000. Year 1990 1991 1992 1993 1994 1995 1996 1997 1998 Value 170 231 261 267 278 302 299 298 340 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 25 UNIT V: PROBABILITY AND STATISTICAL DECISION THEORY CLASS WORK PROBLEMS 1 Union of sets A and B is the set of all elements which either in A or in B or both. It is denoted AυB 2 Intersection of two sets A and B denoted A∩B, is defined as a set whose elements belong to both A and B symbolically 3 Two coins are tossed simultaneously. What is the probability of getting a head and a tail? (Ans – 4/52 =1/13) (problem 18.22, page 740) 4 An urn contains 8 white and 3 red balls. If two balls are drawn at random. Find the probability that (a) both are white, (b) both are red (c) one is of each colour (Ans – 24/55) (problem 18.26, page 742) 5 Two cards are drawn from a pack of cards at random. What is the probability that it will be (a) a diamond and a heart, (b) a king and a queen (c) two kings (Ans – 24/55) (problem 18.24 & 18.26, page 740 & 743) 6 The probability that X and Y will be alive ten years hence is 0.5 and 0.8 respectively. What is the probability that both of them will be alive ten years hence? (problem 18.34, page 747) 7 A university has to select an examiner from a list of 50 persons, 20 of them women and 30 men, 10 of them knowing Hindi and 40 not, 15 of them being teachers and the remaining 35 not. What is the probability of the University selecting a Hand knowing woman teacher? (problem 18.36, page 747) 8 A ball is drawn at random from a box containing 6 red balls, 4 white balls and 5 blue balls. Determine the probability that it is: i) Red, ii) White, iii) Blue, iv) Not Red and v) Red or White D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 26 9 You note that your officer is happy on 60% of your calls, so you assign a probability of his being happy on your visit as 0.6 or 6/10. You have noticed also that if he is happy, he accedes to your request with a probability of 0.4 or 4/10, whereas if he is not happy he accedes to the request with a probability of 0.1 or 1/10. You call one day and he accedes to your request. What is the probability of his being happy? (Ans – 0.857) (Problem18.39, page 750) 10 Box I contains three defective and seven non-defective balls and Box. If contains one defective and non-defective balls. We select a box as random and then draw one ball at random from the box. a. What is the probability of drawing a nen-defective ball? b. What is the probability of drawing a defective ball? c. What is the probability that box 1 was chosen, given a defective ballis drawn? (Problem 18.40, page 750) SELF PRACTICE PROBLEMS 1. Find out the number of ways 6 books in a library can be arranged taking all books at a time. Soln:- [720] 2. A Company received 9 applications for 3 posts. Find out, in how many ways 3 people can be selected for the nine applications. Soln:- [504] 3. A coin is tossed 7 times. Find the probability of obtaining (i) 6 Heads (ii) 7 heads and (iii) 5 or more Heads. Soln:- [P (6) =0.055, P (7) =0.0078, Probability of getting more than 5 heads=0.227] 4. Find out the probability of getting (a) Three Heads (b) at least Two Heads and (c) at least 1 Head, when 5 coins are tossed simultaneously. Soln:- [P (3) = 0.313, P (2) = 0.813, P(1) = 0.969] 5. The average percentage of pass in a test paper is 70. Find out the probability that out of a group of 8 students at least 5 passed in the examination. Soln:- [P (5) = 0.846] 6. The probability of success in an examination of a village is 0.3. What is the probability that out of 7 students (i) none (ii) one (iii) two and (iv) at least one will be succeed in the examination? Soln:- [Probability of none success =0.082, Probability of one success =0.245,Probability of two success =.0315,Probability of at least on success = 0.918] D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 27 7. 15 coins are tossed at a time. Find out the probability in a single tossing for the following outcomes. i) Less than 5 heads ii) 12 or more heads iii) at least 10 heads iv) no heads 8. An Urn contains 5 white, 3 red and 7 black balls. Find out the probability of getting a white or red ball in a single draw. 9. A card is drawn from a well shuffled pack of 52 cards. What is the probability of the card being either red or a jack? Soln:- [7/13] 10. A box contains 15 balls numbering from 1 to 15. Find the probability that a ball selected at random is a ball with number that is a multiple of 3 or 5. Soln:- [7/15] 11. The probability that a contractor will get a building contract is ¼ and the probability of not getting a road contract is 2/3. If the probability of getting at least one contract is 2/5, find out the probability that he will get either of the two contracts. Soln:- [11/60] 12. Two students A and B are independently solving a problem. The probability of A solving the problem is 45 and probability of B solving it is 1/3. What is the probability that both of them will solve the problem? Soln:- [4/15] HOME WORK PROBLEMS 1 A box contains 5 red, 4 black and 3 white balls. What is the probability of getting a white, a black and a red ball? Soln:- [5/144] 2 A bag contains 6 white and 4 red balls. The balls are drawn simultaneously without replacement of the first ball. What is the probability that both balls are of white colour? Soln:- [1/3] 3 From a well shuffled pack of 52 cards, 2 cards are drawn at random. What is the probability that both of them are Queen Cards? Assume that there is no replacement of the card after the first draw. Soln:- [3/663] 4 Two persons are competing for a manager post in a company. The probabilities that the first and second will win are 0.7 and 0.3 respectively. If the first person wins, the probability of opening a new branch is 0.8 and the corresponding probabilities is 0.4 if the second person wins. What is the probability that the new branch is opened? Soln:- [0.68] D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 28 5 An urn contains 8 red and 3 blue marbles. If 2 marbles are drawn at random, find the probability that (i) both are red and (ii) one of them is red and the other is blue? Soln:- [Probability of getting 2 red marbles=28/55, Probability of getting one red marble and one blue marble 24/55] 6 A bag contains 7 white and 2 black balls. Two balls are drawn in succession at random. What is the probability that one of them is white and the other is black? Soln:- [14/81] 7 Explain the theorem of total probability he probability that a job applicant for the post of an accountant with a post graduate degree is 0.3, that he has both is 0.2. Out of 3000 applicants what number would have either a post has some previous experiences is 0.7 and the mobility that he has both graduate degree and previous experience. Soln:- [2,400] 8 A bag contains 7 white and 9 black balls. Two balls are drawn in succession at random. What is the probability that one of them is white and the other is black ? Soln:- [21/40] 9 Two cards are drawn randomly from the well shuffled pack of cards. Find the probability that (i) Both are diamond cards (ii) One is an Ace and the other is a King and (iii) both are not club cards. Soln:- [1/17,4/663,16/17] 10 A bag contains 4 red, 3 white and 2 black balls. Two balls are drawn at a time. What is the probability that both are either red or white balls? Soln:- [1/4] 11 The following probabilities are to be computed from a well-shuffled pack cards. (i) The probability of drawing an Ace and Club cards. (ii) The probability of drawing an Ace and Club cards. (ii) The probability of drawing a Heart card and a Picture card. (iii) The probability of drawing a TEN given that a Spade card is drawn. (iv) The probability of drawing either a King or a Queen or a Diamond card. (v) The probability of drawing a Picture and an Ace. Soln:- [1/51, 13/204, 1/52, 0.42, 1/51] 12 In a bag there are 4 white and 10 yellow balls. Two balls are drawn at random. What is the probability that of these two balls one is white and the other is yellow? Soln:- [40/91] 13 From a set of 20 discs numbered 1 to 20, one disc is chosen randomly. Find the probability that the number on it is divisible by (i) 3 and (ii) 5 or 7. D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 29 UNIT VI: LINEAR PROGRAMMING AND PROBLEM FORMULATION CLASS WORK PROBLEMS 1 A manufacturer of furniture makes two products chairs & tables. Processing of these products is done on two machines A & B. A chair requires 2 hrs on Machine A & 6 hrs on Machine B. A table requires 5 hrs on machine A and no time on machine B.There are 16 hrs of time per day available on machine A & 23 hrs on machine B. Profit gained by the manufacturer from a chair & table is Rs 2 & Rs 10 respectively. What should be daily production of each of the two products. 2 An animal feed company must produce 200 kg of mixture of consisting of ingredients X1 & X2 . X1 cost Rs 3 per kg & X2 cost Rs 8 per kg. No more than 80 kg of X1 can be used and atleast 60 kg of X2 must be used. Formulate LPP. 3 An electric Co. produces products P1 & P2 . Products are produced & sold on a weekly basis. The weekly production cannot exceed 25 for products P1 & 35 for prodct P2 because of limited available facilities. The company employs total of 60 workers. Product P1 requires 2 man weeks of labour, while P2 requires one man week of labour. Profit margin on P1 is Rs 60 & on P2 is Rs 40. Form LPP. 4 A company is making two products A & B. The cost of producing one unit of product A and B is Rs 60 & 80 respectively. As per the agreement, the company has to supply at least 200 units of product B to its regular customers. One unit of product A requires one machine hours whereas product B has machine hrs available abundantly within the company. Total machine hours available for product A are 400 hrs. One unit of each product A & B requires one labour hr each & total of 500 labour hrs are available. The company wants to minimize the cost of production by satisfying the given requirements. Formulate the problem as LPP. GRAPHICAL SOLUTIONS 1 Solve LPP Maximize Z= 5x1 + 3x2 Subject to 3x1 + 5x2 ≤ 15 5x1 + 2x2 ≤ 10 x1,x2 ≥ 0 2 Maximise Z = 6x1 + 7x2 Subject to 2x1 + 3x2 ≤ 12 2x1 + x2 ≤ 8 x1, x2 ≥ 0 3 Maximise Z = 80 x1 + 100 x2 Subject to X1 + 2x2 ≤ 720 5x1 + 4x2 ≤ 1800 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 30 x1, x2 ≥ 0 4 5 3x1 + x2 ≤ 900 Min Z = 40x1 + 24 x2 Subject to, 20x1 + 50x2 ≥ 4800 80x1 + 50x2 ≥ 7200 x1,x2 ≥ 0 Maximise Z = 40x1 + 80 x2 Subject to 2x1 + 32 x2 ≤ 48 x1 ≤ 15 x2 ≤ 10 x1,x2 ≥ 0 5 Min Z = -x1 + 2x2 Subject to, X1 + x2 ≤ 6 X1- x2 ≤ 2 X1, x2 ≥ 0 6 Max Z = 3x1 + 2x2 Subject to, where, x1, x2 ≥ 0 -2x1 + x2 ≤ 1 x1 ≤ 2 x1 + x2 ≤ 2 7 The owner of Metro sports wishes to determine how many advertisements to place in the selected three monthly magazinesA, B & C. His objective is to advertise in such a way that total exposure to principal buyers of extensive sports goods is maximized. Percentage of readers for each magazines are known. Exposure in any particular magazine is the number of advertisement placed multipled by number of principal buyers. The following data is given: Requirements Magazines A B C Readers 1 lakh 0.60 lakh 0.40 lakhs Principal buyers 15% 15% 7% Cost per advt. 5000 4500 4250 The budgeted amount is at the most Rs 1 lakh for advertisements. The owner has already decided that magazine A should have no more than 6 advertisements and B & C each have at least two advertisements. Formulate LPP. 8 A caterers knows that he will need 80 napkins on a given day and 140 napkins the day after. He can purchase napkins @ Rs 8 each and after they are purchased, he D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 31 can have dirty napkins laundered @ Rs 2 for the use the next day. In order to minimize his cost how many dirty napkins should he have laundered. 9 A company produces two types of products say type A & B. Product B is of superior quality & product A is a lower quality. Profits on the two types of products are Rs 30 & Rs 40 respectively. The data about resources required & availability of resources are given below. Requirement ProductA Product B capacity available Per month Raw material (kgs) 60 120 12000 Machine Hrs(per piece) 8 5 630 Assembly 3 4 500 10 11 How should the company manufacture the two types of products in order to get at maximum overall profits. A firm manufactures two products A and B on which the profits earned per unit are Rs. 3 and Rs. 4 respectively. Each product is processed on two machines M1 and M2. Product A require one minute of processing time on M1 and two minutes on M2 while B require one minute on M1 and one minute on M2. Machine M1 is available for not more than 7 hours 30 minutes while machine M2 is available for 10 hours during any working day. Find the number of units of product A and B to be manufactured to get maximum profit (use graphical method) Solve graphically the following linear programming problem. Objective function Minimise cost Z = 6x + 8y Subject to the constraints 3x + 6y ≥ 48 y≥5 x≥0 y≥0 12 Maximize Z = 40x1 + 80x2 Subject to 2x1 + 32x2 ≤ 48 x1 ≤ 15 x2 ≤ 10 x1,x2 ≥ 0 13 Min Z = 2x1 + x2 Subject to 5x1 + 10x2 ≤ 50 x1 + x2 ≥ 1 x1 ≤ 4 x1, x2 ≥ 0 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 32 14 Min Z = 4x1- 2x2 Subject to X1 + x2 ≤14 3x1 + 2x2 ≥ 36 2x1 + x2 ≤ 24 x1,x2 ≥ 0 15 An animal feed company must produce 200 kg of mixture of consisting of ingredients X1 & X2 . X1 cost Rs 3 per kg & X2 cost Rs 8 per kg. No more than 80 kg of X1 can be used and atleast 60 kg of X2 must be used. Formulate LPP. 16 An electric Co. produces products P1 & P2 . Products are produced & sold on a weekly basis. The weekly production cannot exceed 25 for products P1 & 35 for prodct P2 because of limited available facilities. The company employs total of 60 workers. Product P1 requires 2 man weeks of labour, while P2 requires one man week of labour. Profit margin on P1 is Rs 60 & on P2 is Rs 40. Form LPP. 17A caterers knows that he will need 80 napkins on a given day and 140 napkins the day after. He can purchase napkins @ Rs 8 each and after they are purchased, he can have dirty napkins laundered @ Rs 2 for the use the next day. In order to minimize his cost how many dirty napkins should he have laundered. 18 company manufactures two products X & Y using four major departments Q,R,S & T. The capacity limit of those departments are given in the table below: Department Capacity for the production of X Y Q 4000 NIL R 5000 5000 S 7000 4000 T 8000 3000 Solve graphically for the optimal production level if both the products sell at Rs 40 per unit & the average costs of two products X & Y are Rs14 & Rs 20 respectively. 19 A company produces two types of products say type A & B. Product B is of superior quality & product A is a lower quality. Profit on the two types of products are Rs 30 & Rs 40 respectively. The data about resources required and availability of resources are given below. Requirement Product A Product B capacity available Per month Raw material (kgs) 60 120 12000 Machine hrs (per piece) 8 5 630 Assembly 3 4 500 How should the company manufacture the two types of products in order to get at maximum overall profits. D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 33 HOMEWORK PROBLEMS 1. A firm manufactures two products A and B by using two machines M1 and M2. One unit of A require 1 hour at machine M1 and 3 hours at machine M2, one unit of B requires 2 hours at each of the two machines. If the profit contribution from each unit of A and B are Rs. 60 and Rs. 50 respectively and the number of hours available per week on machines M1 and M2 are 40 and 60 respectively. Find the number of units of product A and B to be manufactured to get maximum profit and solve it graphically. 2. A manufacture of leather belts makes two types of belts A and B which are processed on two machinesM1 and M2. Belt A require 2 hours on machine M1 and 3 hours on machine M2. There are 15 hours of time per day available on machine M1 and 18 hours of time per day available on machine M2. Profit gained from belt A is Rs. 3 per unit from belt B is Rs. 5 per unit. What should be the daily production of each type of belts so that the profit is maximum (use graphical method) 3. Solve graphically the following linear programming problem. Mark the feasible region represented by constraints equation and find out the optimal product mix. Objective function – Maximize profit Z = 3x + 4 y Subject to the constraints 8x + 3y ≤ 46 X≤0 Y≤0 4. Solve graphically the following linear programming problem. Mark the feasible region represented by constraints equation and find out the optimal product mix. Objective function – Maximize profit Z = 4x + 3 y Subject to the constraints 3x + 7y ≤ 42 X≤4 X≥0 Y≥0 5. Solve graphically the following linear programming problem. Maximize Z = 9x + 10 y Subject to the constraints 11x + 9y ≤ 9900 7x + 12y ≤ 8400 6x + 16y ≤ 9600 Where x ≥ 0; y ≥ 0 6. Solve graphically the following linear programming problem. Objective function Minimize cost Z = 2x + 3y Subject to the constraints 3x + 7y ≥ 42 x≥4 x≥0 y≥0 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 34 D.M.I.M.S-----Quantative Techniques Worksheet---Semester-I Page 35
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