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Mathematics, (Chapter β 14) (Statistics), (Class β X), , Exercise 14.1, Question 1:, A survey was conducted by a group of students as a part of their environment awareness, programme, in which they collected the following data regarding the number of plants, in 20 houses in a locality. Find the mean number of plants per house., Number of plants, 0β2 2β4 4β6 6β8 8β, 10 β, 12 β, 10, 12, 14, Number of houses, 1, 2, 1, 5, 6, 2, 3, Which method did you use for finding the mean, and why?, , Answer 1:, To find the class mark (xi) for each interval, the following relation is used., Class mark, , ππ =, , πΌππππ πππππ+π³ππππ πππππ, π, , xi and fixi can be calculated as follows., Number of plants, Number of houses, , xi, , fixi, , (fi), 0β2, , 1, , 1, , 1Γ1=1, , 2β4, , 2, , 3, , 2Γ3=6, , 4β6, , 1, , 5, , 1Γ5=5, , 6β8, , 5, , 7, , 5 Γ 7 = 35, , 8 β 10, , 6, , 9, , 6 Γ 9 = 54, , 10 β 12, , 2, , 11, , 2 Γ11 = 22, , 12 β 14, , 3, , 13, , 3 Γ 13 = 39, , Total, , 20, , 1, , 162
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From the table, it can be observed that, , Mean,, , Therefore, mean number of plants per house is 8.1., , Here, direct method has been used as the values of class marks (xi) and fi are small., , Question 2:, Consider the following distribution of daily wages of 50 worker of a factory., Daily wages (in, 100 β, 120 β, 140 β1, 160 β, Rs), Number of workers, , 120, 12, , 140, 14, , 60, 8, , 180, 6, , 180 β, 200, 10, , Find the mean daily wages of the workers of the factory by using an appropriate method., Answer 2:, To find the class mark for each interval, the following relation is used., πΌππππ πππππ + π³ππππ πππππ, ππ =, π, Class size (h) of this data = 20, Taking 150 as assured mean (a), di, ui, and fiui can be calculated as follows., , 2
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Daily wages, , Number of workers (fi), , xi, , di = xi β 150, , 100 β120, , 12, , 110, , β 40, , β2, , β 24, , 120 β 140, , 14, , 130, , β 20, , β1, , β 14, , 140 β 160, , 8, , 150, , 0, , 0, , 0, , 160 β180, , 6, , 170, , 20, , 1, , 6, , 180 β 200, , 10, , 190, , 40, , 2, , 20, , Total, , 50, , (in Rs), , ππ =, , π
π, ππ, , fiui, , β 12, , From the table, it can be observed that, , Therefore, the mean daily wage of the workers of the factory is Rs 145.20., , 3
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Question 3:, The following distribution shows the daily pocket allowance of children of a locality., The mean pocket allowance is Rs.18. Find the missing frequency f., Daily pocket allowance, , 11 β, , 13 β, , 13, , 15, , 7, , 6, , (in Rs), Number of workers, , 15, β17, , 17 β, , 19 β, , 21 β, , 23 β, , 19, , 21, , 23, , 25, , 9, , 13, , f, , 5, , 4, , Answer 3:, To find the class mark (xi) for each interval, the following relation is used., πΌππππ πππππ + π³ππππ πππππ, π, Given that, mean pocket allowance,, ππ =, , Taking 18 as assured mean (a), di and fidi are calculated as follows., Daily pocket, Number of, Class mark, di = xi β, , fidi, , xi, , 18, , 7, , 12, , β6, , β 42, , 13 β 15, , 6, , 14, , β4, , β 24, , 15 β 17, , 9, , 16, , β2, , β 18, , 17 β19, , 13, , 18, , 0, , 0, , 19 β 21, , f, , 20, , 2, , 2f, , 21 β 23, , 5, , 22, , 4, , 20, , 23 β 25, , 4, , 24, , 6, , 24, , allowance, , children, , (in Rs), , fi, , 11 β13, , Total, , 2f β, 40, , From the table, we obtain, , 4
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Hence, the missing frequency, f, is 20., , Question 4:, Thirty women were examined in a hospital by a doctor and the number of heart beats, per minute were recorded and summarized as follows. Fine the mean heart beats per, minute for these women, choosing a suitable method., Number of heart beats per, 65 β, 68 β, 71, 74 β, 77 β, 80 β, 83 β, minute, β74, 68, 71, 77, 80, 83, 86, Number of women, , 2, , 4, , 3, , 8, , 7, , Answer 4:, To find the class mark of each interval (xi), the following relation is used., πΌππππ πππππ + π³ππππ πππππ, ππ =, π, Class size, h, of this data = 3, Taking 75.5 as assumed mean (a), di, ui, fiui are calculated as follows., , 5, , 4, , 2
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Number of heart beats per, minute, , Number of, , xi, , di = xi β, 75.5, , women, , ππ =, , π
π, π, , fiui, , fi, , 65 β 68, , 2, , 66.5, , β9, , β3, , β, 6, , 68 β 71, , 4, , 69.5, , β6, , β2, , β, 8, , 71 β 74, , 3, , 72.5, , β3, , β1, , β, 3, , 74 β 77, , 8, , 75.5, , 0, , 0, , 0, , 77 β 80, , 7, , 78.5, , 3, , 1, , 7, , 80 β 83, , 4, , 81.5, , 6, , 2, , 8, , 83 β 86, , 2, , 84.5, , 9, , 3, , 6, , Total, , 30, , From the table, we obtain, , 6, , 4
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Therefore, mean hear beats per minute for these women are 75.9 beats per minute., , Question 5:, In a retail market, fruit vendors were selling mangoes kept in packing boxes. These, boxes contained varying number of mangoes. The following was the distribution of, mangoes according to the number of boxes., Number of mangoes, 50 β 52, 53 β 55, 56 β 58, 59 β 61, 62 β 64, Number of boxes, , 15, , 110, , 135, , 115, , 25, , Find the mean number of mangoes kept in a packing box. Which method of finding the, mean did you choose?, Answer 5:, Number of mangoes, , Number of boxes fi, , 50 β 52, , 15, , 53 β 55, , 110, , 56 β 58, , 135, , 59 β 61, , 115, , 62 β 64, , 25, , It can be observed that class intervals are not continuous. There is a gap of 1, between two class intervals. Therefore, 1/2 has to be added to the upper class limit, , 7
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and 1/2 has to be subtracted from the lower class limit of each interval., Class mark (xi) can be obtained by using the following relation., πΌππππ πππππ + π³ππππ πππππ, π, Class size (h) of this data = 3, ππ =, , Taking 57 as assumed mean (a), di, ui, fiui are calculated as follows., π
π, Class interval, fi, xi, di = xi β 57, ππ =, π, , fiui, , 49.5 β 52.5, , 15, , 51, , β6, , β2, , β 30, , 52.5 β 55.5, , 110, , 54, , β3, , β1, , β 110, , 55.5 β 58.5, , 135, , 57, , 0, , 0, , 0, , 58.5 β 61.5, , 115, , 60, , 3, , 1, , 115, , 61.5 β 64.5, , 25, , 63, , 6, , 2, , 50, , Total, , 400, , 25, , It can be observed that, , 8
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Mean number of mangoes kept in a packing box is 57.19., Step deviation method is used here as the values of fi, di are big and also, there is a, common multiple between all di., , Question 6:, The table below shows the daily expenditure on food of 25 households in a locality., Daily expenditure, 100 β, 150 β, 200 β, 250 β, 300 β, (in Rs), , Number of households, , 150, , 200, , 250, , 300, , 350, , 4, , 5, , 12, , 2, , 2, , Find the mean daily expenditure on food by a suitable method., , Answer 6:, To find the class mark (xi) for each interval, the following relation is used., , ππ =, , πΌππππ πππππ + π³ππππ πππππ, π, , Class size = 50, Taking 225 as assumed mean (a), di, ui, fiui are calculated as follows., , 9
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Daily expenditure (in Rs), , fi, , xi, , di = xi β 225, , 100 β 150, , 4, , 125, , β 100, , β2, , β8, , 150 β 200, , 5, , 175, , β 50, , β1, , β5, , 200 β 250, , 12, , 225, , 0, , 0, , 0, , 250 β 300, , 2, , 275, , 50, , 1, , 2, , 300 β 350, , 2, , 325, , 100, , 2, , 4, , Total, , 25, , ππ =, , π
π, 50, , fiui, , β7, , From the table, we obtain, , Therefore, mean daily expenditure on food is Rs 211., , Question 7:, To find out the concentration of SO2 in the air (in parts per million, i.e., ppm), the data, was collected for 30 localities in a certain city and is presented below:, , 10
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concentration of SO2 (in ppm), , Frequency, , 0.00 β 0.04, , 4, , 0.04 β 0.08, , 9, , 0.08 β 0.12, , 9, , 0.12 β 0.16, , 2, , 0.16 β 0.20, , 4, , 0.20 β 0.24, , 2, , Find the mean concentration of SO2 in the air., , Answer 7:, To find the class marks for each interval, the following relation is used., , ππ =, , πΌππππ πππππ + π³ππππ πππππ, π, , Class size of this data = 0.04, , Taking 0.14 as assumed mean (a), di, ui, fiui are calculated as follows., , 11
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Concentration of SO2 (in, ppm), , Frequency, , Class, mark, , fi, , di = xi β, , fiui, , ππ, , 0.14, , π
π, =, 0.04, , xi, 0.00 β 0.04, , 4, , 0.02, , β 0.12, , β3, , β 12, , 0.04 β 0.08, , 9, , 0.06, , β 0.08, , β2, , β 18, , 0.08 β 0.12, , 9, , 0.10, , β 0.04, , β1, , 0.12 β 0.16, , 2, , 0.14, , 0, , 0, , 0, , 0.16 β 0.20, , 4, , 0.18, , 0.04, , 1, , 4, , 0.20 β 0.24, , 2, , 0.22, , 0.08, , 2, , 4, , Total, , 30, , β9, , β31, , From the table, we obtain, , Therefore, mean concentration of SO2 in the air is 0.099 ppm., , 12
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Question 8:, A class teacher has the following absentee record of 40 students of a class for the, whole term. Find the mean number of days a student was absent., 0β, 6β, 10 β, 14 β, 20 β, 28 β, 38 β, Number of days, , Number of, students, , 6, , 10, , 14, , 20, , 28, , 38, , 40, , 11, , 10, , 7, , 4, , 4, , 3, , 1, , Answer 8:, To find the class mark of each interval, the following relation is used., , ππ =, , πΌππππ πππππ + π³ππππ πππππ, π, , Taking 17 as assumed mean (a), di and fidi are calculated as follows., Number of students, Number of days, xi, di = xi β 17, , fidi, , fi, 0β6, , 11, , 3, , β 14, , β 154, , 6 β 10, , 10, , 8, , β9, , β 90, , 10 β 14, , 7, , 12, , β5, , β 35, , 14 β 20, , 4, , 17, , 0, , 0, , 20 β 28, , 4, , 24, , 7, , 28, , 28 β 38, , 3, , 33, , 16, , 48, , 38 β 40, , 1, , 39, , 22, , 22, , Total, , 40, , β 181, , From the table, we obtain, , 13
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Therefore, the mean number of days is 12.48 days for which a student was absent., Question 9:, The following table gives the literacy rate (in percentage) of 35 cities. Find the mean, literacy rate., Literacy rate (in %), 45 β 55, 55 β 65 65 β 75 75 β 85, 85 β 95, , Number of cities, , 3, , 10, , 11, , 8, , Answer 9:, To find the class marks, the following relation is used., , ππ =, , πΌππππ πππππ + π³ππππ πππππ, π, , Class size (h) for this data = 10, Taking 70 as assumed mean (a), di, ui, and fiui are calculated as follows., , 14, , 3
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Literacy rate (in %), , Number of cities, , xi, , di = xi β 70, , fi, , ππ =, , π
π, 10, , fiui, , 45 β 55, , 3, , 50, , β 20, , β2, , β6, , 55 β 65, , 10, , 60, , β 10, , β1, , β 10, , 65 β 75, , 11, , 70, , 0, , 0, , 0, , 75 β 85, , 8, , 80, , 10, , 1, , 8, , 85 β 95, , 3, , 90, , 20, , 2, , 6, , Total, , 35, , β2, , From the table, we obtain, , Therefore, mean literacy rate is 69.43%., , 15
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Mathematics, (Chapter β 14) (Statistics), (Class β X), , Exercise 14.2, Question 1:, The following table shows the ages of the patients admitted in a hospital during a year:, age (in years), 5β, 15 β, 25 β, 35 β, 45 β, 55 β, 15, 25, 35, 45, 55, 65, Number of patients, , 6, , 11, , 21, , 23, , 14, , 5, , Find the mode and the mean of the data given above. Compare and interpret the two, measures of central tendency., Answer 1:, To find the class marks (xi), the following relation is used., πΌππππ πππππ + π³ππππ πππππ, ππ =, π, Taking 30 as assumed mean (a), di and fidiare calculated as follows., Number of patients, Class mark, Age (in years), di = xi β 30, , fidi, , fi, , xi, , 5 β 15, , 6, , 10, , β 20, , β 120, , 15 β 25, , 11, , 20, , β 10, , β 110, , 25 β 35, , 21, , 30, , 0, , 0, , 35 β 45, , 23, , 40, , 10, , 230, , 45 β 55, , 14, , 50, , 20, , 280, , 55 β 65, , 5, , 60, , 30, , 150, , Total, , 80, , 430, , 1
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From the table, we obtain, , Mean of this data is 35.38. It represents that on an average, the age of a patient, admitted to hospital was 35.38 years., It can be observed that the maximum class frequency is 23 belonging to class interval, 35 β 45., Modal class = 35 β 45, Lower limit (l) of modal class = 35, Frequency (f1) of modal class = 23, Class size (h) = 10, Frequency (f0) of class preceding the modal class = 21, Frequency (f2) of class succeeding the modal class = 14, , Mode =, , 2
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Mode is 36.8. It represents that the age of maximum number of patients admitted in, hospital was 36.8 years., Question 2:, The following data gives the information on the observed lifetimes (in hours) of 225, electrical components:, 0β, 20 β, 40 β, 60 β, 80 β, 100 β, Lifetimes (in hours), , Frequency, , 20, , 40, , 60, , 80, , 100, , 120, , 10, , 35, , 52, , 61, , 38, , 29, , Determine the modal lifetimes of the components., , Answer 2:, From the data given above, it can be observed that the maximum class frequency is, 61, belonging to class interval 60 β 80., Therefore, modal class = 60 β 80, Lower class limit (l) of modal class = 60, Frequency (f1) of modal class = 61, Frequency (f0) of class preceding the modal class = 52, Frequency (f2) of class succeeding the modal class = 38, Class size (h) = 20, , 3
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Therefore, modal lifetime of electrical components is 65.625 hours., , Question 3:, The following data gives the distribution of total monthly household expenditure of 200, families of a village. Find the modal monthly expenditure of the families. Also, find the, mean monthly expenditure., Expenditure (in Rs), Number of families, 1000 β 1500, , 24, , 1500 β 2000, , 40, , 2000 β 2500, , 33, , 2500 β 3000, , 28, , 3000 β 3500, , 30, , 3500 β 4000, , 22, , 4000 β 4500, , 16, , 4500 β 5000, , 7, , 4
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Answer 3:, It can be observed from the given data that the maximum class frequency is 40,, belonging to 1500 β 2000 intervals., Therefore, modal class = 1500 β 2000, , Lower limit (l) of modal class = 1500, , Frequency (f1) of modal class = 40, Frequency (f0) of class preceding modal class = 24, Frequency (f2) of class succeeding modal class = 33, Class size (h) = 500, , Therefore, modal monthly expenditure was Rs 1847.83., , 5
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To find the class mark, the following relation is used., , ππ =, , πΌππππ πππππ + π³ππππ πππππ, π, , Class size (h) of the given data = 500, Taking 2750 as assumed mean (a), di, ui, and fiuiare calculated as follows., π
π, Number of, di = xi β, Expenditure (in, xi, ππ =, πππ, Rs), 2750, families, , fiui, , fi, 1000 β 1500, , 24, , 1250, , β 1500, , β3, , β 72, , 1500 β 2000, , 40, , 1750, , β 1000, , β2, , β80, , 2000 β 2500, , 33, , 2250, , β 500, , β1, , β33, , 2500 β 3000, , 28, , 2750, , 0, , 0, , 0, , 3000 β 3500, , 30, , 3250, , 500, , 1, , 30, , 3500 β 4000, , 22, , 3750, , 1000, , 2, , 44, , 4000 β 4500, , 16, , 4250, , 1500, , 3, , 48, , 4500 β 5000, , 7, , 4750, , 2000, , 4, , 28, , Total, , 200, , β35, , From the table, we obtain, , 6
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Therefore, mean monthly expenditure was Rs 2662.50., , Question 4:, The following distribution gives the state-wise teacher-student ratio in higher secondary, schools of India. Find the mode and mean of this data. Interpret the two measures., Number of students per teacher, Number of states/U.T, 15 β 20, , 3, , 20 β 25, , 8, , 25 β 30, , 9, , 30 β 35, , 10, , 35 β 40, , 3, , 40 β 45, , 0, , 45 β 50, , 0, , 50 β 55, , 2, , 7
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Answer 4:, It can be observed from the given data that the maximum class frequency is 10, belonging to class interval 30 β 35., Therefore, modal class = 30 β 35, Class size (h) = 5, Lower limit (l) of modal class = 30, Frequency (f1) of modal class = 10, Frequency (f0) of class preceding modal class = 9, Frequency (f2) of class succeeding modal class = 3, , It represents that most of the states/U.T have a teacher-student ratio as 30.6., To find the class marks, the following relation is used., , ππ =, , πΌππππ πππππ + π³ππππ πππππ, π, , Taking 32.5 as assumed mean (a), di, ui, and fiui are calculated as follows., , 8
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Number of students, per teacher, , Number of, , xi, , di = xi β, 32.5, , states/U.T, , ππ =, , π
π, π, , fiui, , (fi), 15 β 20, , 3, , 17.5, , β 15, , β3, , β9, , 20 β 25, , 8, , 22.5, , β 10, , β2, , β16, , 25 β 30, , 9, , 27.5, , β5, , β1, , β9, , 30 β 35, , 10, , 32.5, , 0, , 0, , 0, , 35 β 40, , 3, , 37.5, , 5, , 1, , 3, , 40 β 45, , 0, , 42.5, , 10, , 2, , 0, , 45 β 50, , 0, , 47.5, , 15, , 3, , 0, , 50 β 55, , 2, , 52.5, , 20, , 4, , 8, , Total, , 35, , β23, , Therefore, mean of the data is 29.2., It represents that on an average, teacherβstudent ratio was 29.2., , 9
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Question 5:, The given distribution shows the number of runs scored by some top batsmen of the, world in one-day international cricket matches., Runs scored, Number of batsmen, 3000 β 4000, , 4, , 4000 β 5000, , 18, , 5000 β 6000, , 9, , 6000 β 7000, , 7, , 7000 β 8000, , 6, , 8000 β 9000, , 3, , 9000 β 10000, , 1, , 10000 β 11000, , 1, , Find the mode of the data., , Answer 5:, From the given data, it can be observed that the maximum class frequency is 18,, belonging to class interval 4000 β 5000. Therefore, modal class = 4000 β 5000, Lower limit (l) of modal class = 4000, Frequency (f1) of modal class = 18, Frequency (f0) of class preceding modal class = 4, Frequency (f2) of class succeeding modal class = 9, Class size (h) = 1000, , 10
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Therefore, mode of the given data is 4608.7 runs, Question 6:, A student noted the number of cars passing through a spot on a road for 100 periods, each of 3 minutes and summarised it in the table given below. Find the mode of the, data:, Number of, cars, , 0β, , 10 β, , 20 β, , 30 β, , 40 β, , 50 β, , 60 β, , 70 β, , 10, , 20, , 30, , 40, , 50, , 60, , 70, , 80, , Frequency, , 7, , 14, , 13, , 12, , 20, , 11, , 15, , 8, , Answer 6:, From the given data, it can be observed that the maximum class frequency is 20,, belonging to 40 β 50 class intervals. Therefore, modal class = 40 β 50, Lower limit (l) of modal class = 40, Frequency (f1) of modal class = 20, Frequency (f0) of class preceding modal class = 12, Frequency (f2) of class succeeding modal class = 11, , 11
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Class size = 10, , Therefore, mode of this data is 44.7 cars., , 12
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Mathematics, (Chapter β 14) (Statistics), (Class β X), , Exercise 14.3, Question 1:, The following frequency distribution gives the monthly consumption of electricity of 68, consumers of a locality. Find the median, mean and mode of the data and compare, them., Monthly consumption (in units), Number of consumers, 65 β 85, , 4, , 85 β 105, , 5, , 105 β 125, , 13, , 125 β 145, , 20, , 145 β 165, , 14, , 165 β 185, , 8, , 185 β 205, , 4, , Answer 1:, To find the class marks, the following relation is used., , ππ =, , πΌππππ πππππ + π³ππππ πππππ, π, , Taking 135 as assumed mean (a), di, ui, fiui are calculated according to step deviation, method as follows., , 1
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Monthly, consumption (in, units), , Number of, consumers, (f i), , xi, class, mark, , di= xiβ, , 65 β 85, , 4, , 75, , β 60, , β3, , β12, , 85 β 105, , 5, , 95, , β 40, , β2, , β 10, , 105 β 125, , 13, , 115, , β 20, , β1, , β 13, , 125 β 145, , 20, , 135, , 0, , 0, , 0, , 145 β 165, , 14, , 155, , 20, , 1, , 14, , 165 β 185, , 8, , 175, , 40, , 2, , 16, , 185 β 205, , 4, , 195, , 60, , 3, , 12, , Total, , 68, , ππ =, , 135, , π
π, ππ, , fiui, , 7, , From the table, we obtain, , 2
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From the table, it can be observed that the maximum class frequency is 20, belonging, to class interval 125 β 145., Modal class = 125 β 145, Lower limit (l) of modal class = 125, Class size (h) = 20, Frequency (f1) of modal class = 20, Frequency (f0) of class preceding modal class = 13, Frequency (f2) of class succeeding the modal class = 14, , To find the median of the given data, cumulative frequency is calculated as follows., , 3
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Monthly consumption, , Number of consumers, , Cumulative frequency, , 65 β 85, , 4, , 4, , 85 β 105, , 5, , 4+5=9, , 105 β 125, , 13, , 9 + 13 = 22, , 125 β 145, , 20, , 22 + 20 = 42, , 145 β 165, , 14, , 42 + 14 = 56, , 165 β 185, , 8, , 56 + 8 = 64, , 185 β 205, , 4, , 64 + 4 = 68, , (in units), , From the table, we obtain, n = 68, Cumulative frequency (cf) just greater than, interval 125 β 145., Therefore, median class = 125 β 145, Lower limit (l) of median class = 125, Class size (h) = 20, Frequency (f) of median class = 20, Cumulative frequency (cf) of class preceding median class = 22, , 4, , is 42, belonging to
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Therefore, median, mode, mean of the given data is 137, 135.76, and 137.05, respectively., The three measures are approximately the same in this case., Question 2:, If the median of the distribution is given below is 28.5, find the values of x and y., Class interval, Frequency, , 0 β 10, , 5, , 10 β 20, , x, , 20 β 30, , 20, , 30 β 40, , 15, , 40 β 50, , y, , 50 β 60, , 5, , Total, , 60, , 5
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Answer 2:, The cumulative frequency for the given data is calculated as follows., Class interval, Frequency, Cumulative frequency, 0 β 10, , 5, , 5, , 10 β 20, , x, , 5+ x, , 20 β 30, , 20, , 25 + x, , 30 β 40, , 15, , 40 + x, , 40 β 50, , y, , 40+ x + y, , 50 β 60, , 5, , 45 + x + y, , Total (n), , 60, , From the table, it can be observed that n = 60, , 45 + x + y = 60, , or, , x + y = 15 β¦β¦β¦β¦β¦β¦β¦β¦β¦.(1), , Median of the data is given as 28.5 which lies in interval 20 β 30., , Therefore, median class = 20 β 30, , Lower limit (l) of median class = 20, , Cumulative frequency (cf) of class preceding the median class = 5 + x, , Frequency (f) of median class = 20, , Class size (h) = 10, , 6
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From equation (1),, 8 + y = 15 y = 7, Hence, the values of x and y are 8 and 7 respectively, Question 3:, A life insurance agent found the following data for distribution of ages of 100 policy, holders. Calculate the median age, if policies are given only to persons having age 18, years onwards but less than 60 year., Age (in years), Number of policy holders, Below 20, , 2, , Below 25, , 6, , Below 30, , 24, , Below 35, , 45, , Below 40, , 78, , Below 45, , 89, , Below 50, , 92, , Below 55, , 98, , Below 60, , 100, , 7
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Answer 3:, Here, class width is not the same. There is no requirement of adjusting the frequencies, according to class intervals. The given frequency table is of less than type represented, with upper class limits. The policies were given only to persons with age 18 years, onwards but less than 60 years. Therefore, class intervals with their respective, cumulative frequency can be defined as below., Age (in years) Number of policy holders (fi), Cumulative frequency (cf), 18 β 20, , 2, , 2, , 20 β 25, , 6β2=4, , 6, , 25 β 30, , 24 β 6 = 18, , 24, , 30 β 35, , 45 β 24 = 21, , 45, , 35 β 40, , 78 β 45 = 33, , 78, , 40 β 45, , 89 β 78 = 11, , 89, , 45 β 50, , 92 β 89 = 3, , 92, , 50 β 55, , 98 β 92 = 6, , 98, , 55 β 60, , 100 β 98 = 2, , 100, , Total (n), From the table, it can be observed that n = 100., Cumulative frequency (cf) just greater than, interval 35 β 40., Therefore, median class = 35 β 40, Lower limit (l) of median class = 35, Class size (h) = 5, , 8, , is 78, belonging to
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Frequency (f) of median class = 33, Cumulative frequency (cf) of class preceding median class = 45, , Therefore, median age is 35.76 years., Question 4:, The lengths of 40 leaves of a plant are measured correct to the nearest millimeter, and, the data obtained is represented in the following table:, Length (in mm), Number or leaves fi, 118 β 126, , 3, , 127 β 135, , 5, , 136 β 144, , 9, , 145 β 153, , 12, , 154 β 162, , 5, , 163 β 171, , 4, , 172 β 180, , 2, , Find the median length of the leaves., , 9
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(Hint: The data needs to be converted to continuous classes for finding the median,, since the formula assumes continuous classes. The classes then change to 117.5 β, 126.5, 126.5 β 135.5β¦ 171.5 β 180.5), Answer 4:, The given data does not have continuous class intervals. It can be observed that the, difference between two class intervals is 1. Therefore, 1/2 = 0.5has to be added and, subtracted to upper class limits and lower class limits respectively., Continuous class intervals with respective cumulative frequencies can be represented, as follows., Length (in mm), Number or leaves fi, Cumulative frequency, 117.5 β 126.5, , 3, , 3, , 126.5 β 135.5, , 5, , 3+5=8, , 135.5 β 144.5, , 9, , 8 + 9 = 17, , 144.5 β 153.5, , 12, , 17 + 12 = 29, , 153.5 β 162.5, , 5, , 29 + 5 = 34, , 162.5 β 171.5, , 4, , 34 + 4 = 38, , 171.5 β 180.5, , 2, , 38 + 2 = 40, , From the table, it can be observed that the cumulative frequency just greater than, , is 29, belonging to class interval 144.5 β 153.5., Median class = 144.5 β 153.5, Lower limit (l) of median class = 144.5, Class size (h) = 9, , 10
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Frequency (f) of median class = 12, Cumulative frequency (cf) of class preceding median class = 17, , Median, , Therefore, median length of leaves is 146.75 mm., , Question 5:, Find the following table gives the distribution of the life time of 400 neon lamps:, Life time (in hours), Number of lamps, 1500 β 2000, , 14, , 2000 β 2500, , 56, , 2500 β 3000, , 60, , 3000 β 3500, , 86, , 3500 β 4000, , 74, , 4000 β 4500, , 62, , 4500 β 5000, , 48, , 11
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Find the median life time of a lamp., , Answer 5:, The cumulative frequencies with their respective class intervals are as follows., Life time, Number of lamps (fi), Cumulative frequency, , 1500 β 2000, , 14, , 14, , 2000 β 2500, , 56, , 14 + 56 = 70, , 2500 β 3000, , 60, , 70 + 60 = 130, , 3000 β 3500, , 86, , 130 + 86 = 216, , 3500 β 4000, , 74, , 216 + 74 = 290, , 4000 β 4500, , 62, , 290 + 62 = 352, , 4500 β 5000, , 48, , 352 + 48 = 400, , Total (n), , 400, , It can be observed that the cumulative frequency just greater than, is 216, belonging to class interval 3000 β 3500., Median class = 3000 β 3500, Lower limit (l) of median class = 3000, Frequency (f) of median class = 86, , 12
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Cumulative frequency (cf) of class preceding median class = 130, Class size (h) = 500, , Median, , = 3406.976, Therefore, median life time of lamps is 3406.98 hours., , Question 6:, 100 surnames were randomly picked up from a local telephone directory and the, frequency distribution of the number of letters in the English alphabets in the surnames, was obtained as follows:, Number of letters, 1 β 4 4 β 7 7 β 10 10 β 13 13 β 16 16 β 19, , Number of surnames, , 6, , 30, , 40, , 6, , 4, , 4, , Determine the median number of letters in the surnames. Find the mean number of, letters in the surnames? Also, find the modal size of the surnames., , Answer 6:, The cumulative frequencies with their respective class intervals are as follows., , 13
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Number of letters, , Frequency (fi), , Cumulative frequency, , 1β4, , 6, , 6, , 4β7, , 30, , 30 + 6 = 36, , 7 β 10, , 40, , 36 + 40 = 76, , 10 β 13, , 16, , 76 + 16 = 92, , 13 β 16, , 4, , 92 + 4 = 96, , 16 β 19, , 4, , 96 + 4 = 100, , Total (n), , 100, , It can be observed that the cumulative frequency just greater than, is 76, belonging to class interval 7 β 10., Median class = 7 β 10, Lower limit (l) of median class = 7, Cumulative frequency (cf) of class preceding median class = 36, Frequency (f) of median class = 40, Class size (h) = 3, , Median, , 14
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= 8.05, To find the class marks of the given class intervals, the following relation is used., πΌππππ πππππ + π³ππππ πππππ, ππ =, π, Taking 11.5 as assumed mean (a), di, ui, and fiui are calculated according to step, deviation method as follows., π
π, Number of surnames, Number of, xi, di = xiβ, fiui, ππ =, letters, π, 11.5, fi, 1β4, , 6, , 2.5, , β9, , β3, , β 18, , 4β7, , 30, , 5.5, , β6, , β2, , β 60, , 7 β 10, , 40, , 8.5, , β3, , β1, , β 40, , 10 β 13, , 16, , 11.5, , 0, , 0, , 0, , 13 β 16, , 4, , 14.5, , 3, , 1, , 4, , 16 β 19, , 4, , 17.5, , 6, , 2, , 8, , Total, , 100, , β106, , From the table, we obtain, βfiui = β106, βfi = 100, Mean,, , = 11.5 β 3.18 = 8.32, The data in the given table can be written as, , 15
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Number of letters, , Frequency (fi), , 1β4, , 6, , 4β7, , 30, , 7 β 10, , 40, , 10 β 13, , 16, , 13 β 16, , 4, , 16 β 19, , 4, , Total (n), , 100, , From the table, it can be observed that the maximum class frequency is 40, belonging to class interval 7 β 10. Modal class = 7 β 10, Lower limit (l) of modal class = 7, Class size (h) = 3, Frequency (f1) of modal class = 40, Frequency (f0) of class preceding the modal class = 30, Frequency (f2) of class succeeding the modal class = 16, , 16
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Therefore, median number and mean number of letters in surnames is 8.05 and 8.32, respectively while modal size of surnames is 7.88., , Question 7:, The distribution below gives the weights of 30 students of a class. Find the median weight, of the students., 40 β 45, 45 β50, 50 - 55, 55 β60, 60β65, 65 β70, 70β75, Weight (in, kg), Number of, students, , 2, , 3, , 8, , 6, , 6, , 3, , Answer 7:, The cumulative frequencies with their respective class intervals are as follows., Weight (in kg), Frequency (fi), Cumulative frequency, 40 β 45, , 2, , 2, , 45 β 50, , 3, , 2+3=5, , 50 β 55, , 8, , 5 + 8 = 13, , 55 β 60, , 6, , 13 + 6 = 19, , 60 β 65, , 6, , 19 + 6 = 25, , 65 β 70, , 3, , 25 + 3 = 28, , 70 β 75, , 2, , 28 + 2 = 30, , Total (n), , 30, , 17, , 2
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Cumulative frequency just greater than, , is 19, belonging to class, , interval 55 β 60., Median class = 55 β 60, , Lower limit (l) of median class = 55, , Frequency (f) of median class = 6, , Cumulative frequency (cf) of median class = 13, Class size (h) = 5, , Median, , = 56.67, Therefore, median weight is 56.67 kg., , 18
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Mathematics, (Chapter β 14) (Statistics), (Class β X), , Exercise 14.4, Question 1:, The following distribution gives the daily income of 50 workers of a factory., Daily income, 100β120 120β140 140β160 160β180, , 180β200, , (in Rs), Number of workers, , 12, , 14, , 8, , 6, , 10, , Convert the distribution above to a less than type cumulative frequency distribution, and, draw its ogive., , Answer 1:, The frequency distribution table of less than type is as follows., Daily income (in Rs), Cumulative frequency, (upper class limits), Less than 120, , 12, , Less than 140, , 12 + 14 = 26, , Less than 160, , 26 + 8 = 34, , Less than 180, , 34 + 6 = 40, , Less than 200, , 40 + 10 = 50, , Taking upper class limits of class intervals on x-axis and their respective frequencies on, y-axis, its ogive can be drawn as follows., , 1
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Question 2:, During the medical check-up of 35 students of a class, their weights were recorded as, follows:, Weight (in kg), Number of students, Less than 38, , 0, , Less than 40, , 3, , Less than 42, , 5, , Less than 44, , 9, , Less than 46, , 14, , Less than 48, , 28, , Less than 50, , 32, , Less than 52, , 35, , Draw a less than type ogive for the given data. Hence obtain the median weight from, the graph verify the result by using the formula., , 2
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Answer 2:, The given cumulative frequency distributions of less than type are, Weight (in kg) upper class, Number of students (cumulative, limits, frequency), Less than 38, , 0, , Less than 40, , 3, , Less than 42, , 5, , Less than 44, , 9, , Less than 46, , 14, , Less than 48, , 28, , Less than 50, , 32, , Less than 52, , 35, , Taking upper class limits on x-axis and their respective cumulative frequencies on y axis, its ogive can be drawn as follows., , 3
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Here, n = 35, , So, n/2 = 17.5, Mark the point A whose ordinate is 17.5 and its x-coordinate is 46.5. Therefore,, median of this data is 46.5., , It can be observed that the difference between two consecutive upper class limits is, , 2. The class marks with their respective frequencies are obtained as below., , 4
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Weight (in kg), , Frequency (f), , Cumulative frequency, , Less than 38, , 0, , 0, , 38 β 40, , 3β0=3, , 3, , 40 β 42, , 5β3=2, , 5, , 42 β 44, , 9β5=4, , 9, , 44 β 46, , 14 β 9 = 5, , 14, , 46 β 48, , 28 β 14 = 14, , 28, , 48 β 50, , 32 β 28 = 4, , 32, , 50 β 52, , 35 β 32 = 3, , 35, , Total (n), , 35, , The cumulative frequency just greater than, , is 28, belonging to, , class interval 46 β 48., Median class = 46 β 48, Lower class limit (l) of median class = 46, Frequency (f) of median class = 14, Cumulative frequency (cf) of class preceding median class = 14, Class size (h) = 2, , Therefore, median of this data is 46.5., Hence, the value of median is verified., , 5
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Question 3:, The following table gives production yield per hectare of wheat of 100 farms of a village., 50 β 55, 55 β60, 60β65 65β70 70β75 75β80, Production yield (in, kg/ha), Number of farms, , 2, , 8, , 12, , 24, , 38, , 16, , Change the distribution to a more than type distribution and draw ogive., , Answer 3:, The cumulative frequency distribution of more than type can be obtained as follows., Production yield (lower class limits), Cumulative frequency, more than or equal to 50, , 100, , more than or equal to 55, , 100 β 2 = 98, , more than or equal to 60, , 98 β 8 = 90, , more than or equal to 65, , 90 β 12 = 78, , more than or equal to 70, , 78 β 24 = 54, , more than or equal to 75, , 54 β 38 = 16, , Taking the lower class limits on x-axis and their respective cumulative frequencies on, y-axis, its ogive can be obtained as follows., , 6
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