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Table 1.4 : Score of 60 Students in Geography Paper 47 02 39 64 22 46 28 02 09 10 89 96 74 06 26 15 92 84 84 90 32 22 53 62 73 57 37 44 67 50 18 51 36 58 28 65 63 59 75 70 56 58 43 74 64 12 35 42 68 80 64 37 17 31 41 71 56 83 59 90 Grouping of Data The grouping of the raw data requires determining of the number of classes in which the raw data are to be grouped and what will be the class intervals. The selection of the class interval and the number of classes, however, depends upon the range of raw data. The raw data given in Table 1.4 ranges from 02 to 96. We can, therefore, conveniently choose to group the data into ten classes with an interval of ten units in each group, e.g. 0–10, 10–20, 20–30, etc. (Table 1.5). Table 1.5 : Making Tally Marks to Obtain Frequency Group Numerical of Raw Data Tally Marks Number of Individual 0-10 02,02,09,06 4 10-20 10,15,18,12,17 5 20-30 22,28,26,22,28 5 30-40 39,32,37,36,35,37,31 7 40-50 47,46,44,43,42,41 6 50-60 53,57,50,51,58, 10 8 59,56,58,56,59 60-70 64,62,67,65, 8 63,64,68,64 t a 70-80 74,73,75,70,74,71 6 P 80-90 89,84,84,80,83 5 y p 90-100 96,92,90,90 4 r e ∑ f = N = 60 G n i o Process of Classification W Once the number of groups and the class interval of each group are determined, l i the raw data are classified as shown in Table1.5. It is done by a method popularly c known as Four and Cross Method or tally marks. r First of all, one tally mark is assigned to each individual in the group in which P it is falling. For example, the first numerical in the raw data is 47. Since, it falls in the group of 40–50, one tally mark is recorded in the column 3 of Table 1.5. Frequency Distribution In Table 1.5 we have classified the raw data of a quantitative variable and have grouped them class-wise. The number of individuals (places in the fourth column of Table 1.5) is known as frequency and the column represents the frequency Reprint 2026-27