Data Classification for BA II Year Analysis
Learn about the classification of data prepared for BA II Year analysis, including types of classification, quantitative classification, frequency distribution, and class intervals. Understand the purpose of arranging data systematically and how data are classified based on similarity. Explore examples of classified data and frequency distributions to gain insights for meaningful analysis.
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CLASSIFICATION OF THE DATA PREPARED FOR BA II YEAR
PURPOSE TO PREPARE MEANINGFUL, CONCISE AND COMPREHENSIVE DATA. TO ARRANGE DATA IN SYSTEMATIC WAY. DATA ARE CLASSIFIED ON THE BASIS OF THEIR SIMILARITY. EACH CATEGORY OF CLASSIFICATION IS CALLED AS CLASSES. CLASSIFIED DATA SHOW NUMBER OF INDIVIDUALS OR THEIR SCORES ON CERTAIN VARIABLES THAT BELONG TO DIFFERENT CLASSES. SCORES ON DIFFERENT VARIABLES ARE CALLED AS FREQUENCIES. CLASSIFIED DATA ARE PRESENTED IN THE FORM OF FREQUENCY DISTRIBUTION. CLASSIFICATION OF DATA REPRESENTS FREQUENCY DISTRIBUTION.
TYPES OF CLASSIFICATION OF THE DATA ONE WAY CLASSIFICATION TWO WAY CLASSIFICATION THREE WAY CLASSIFICATION MULTI WAY CLASSIFICATION CLASS RURAL URBAN TOTAL FREQUENCY 64 36 100 SOCIAL STATUS HIGH CLASS MIDDLE CLASS LOW CLASS TOTAL LARGE FAMILY 18 (21.2%) 30 (35.3%) 37(43.5 %) 85 (100%) SMALL FAMILY 45 (39.1%) 38 (33.0%) 32 (27.8%) 115 (100%) TOTAL 63 (31.5%) 68 (34.0%) 69 (34.5%) 200 (100%)
QUANTITATIVE CLASSIFICATION OF THE DATA WHEN DATA ARE CLASSIFIED ON THE BASIS OF MAGNITUDE OR QUANTITY OF VARIABLE S PROPERTY. EXAMPLE: 60 STUDENTS SCORED FOLLOWING MARKS ON GENERAL KNOWLEDGE TEST- 88, 93, 97, 22, 30, 35, 38, 40, 42, 42, 44, 45, 53, 54, 52, 54, 54, 56, 56, 56, 57, 57, 58, 58, 47, 47, 50, 58, 59, 61, 63, 64, 64, 65, 65, 66, 66, 66, 66, 68, 68, 69, 70, 70, 71, 72, 72, 74, 76, 76, 63, 64, 64, 77, 80, 80, 82, 40, 41, 42. ASCENDING ORDER: 22, 30, 35, 38, 40, 40, 41, 42, 42, 42, 44, 45, 47, 47, 50, 52, 53, 54, 54, 54, 56, 56, 56, 57, 57, 58, 58, 58, 59, 61, 63, 63, 64, 64, 64, 64, 65, 65, 66, 66, 66, 66, 68, 68, 69, 70, 70, 71, 72, 72, 74, 76, 76, 77, 80, 80, 822, 88, 93, 97.
CONTINUED DECENDING ORDER: 97, 93, 88, 82, 80, 80, 77, 76, 76, 74, 72, 72, 71, 70, 70, 69, 68, 68, 66, 66, 66, 66, 65, 65, 64, 64, 64, 64, 63, 63, 61, 59, 58, 58, 58, 57, 57, 56, 56, 56, 54, 54, 54, 53, 52, 50, 47, 47, 45, 44, 42, 42, 42, 41, 40, 40, 38, 35, 30, 22. NUMBER OF STUDENTS SCORED BETWEEN 20 TO 29=1 NUMBER OF STUDENTS SCORED BETWEEN 30 TO 39=3 NUMBER OF STUDENTS SCORED BETWEEN 40 TO 49=10 NUMBER OF STUDENTS SCORED BETWEEN 50 TO 59=15 NUMBER OF STUDENTS SCORED BETWEEN 60 TO 69=16 NUMBER OF STUDENTS SCORED BETWEEN 70 TO 79=9 NUMBER OF STUDENTS SCORED BETWEEN 80 TO 89=4 NUMBER OF STUDENTS SCORED BETWEEN 90 TO 99=2
SCORE CLASS 20-29 30-39 40-49 50-59 60-69 70-79 80-89 90-99 TOTAL FREQUENCY 1 3 10 15 16 9 4 2 60 SCORE CLASS 90-99 80-89 70-79 60-69 50-59 40-49 30-39 20-29 TOTAL FREQUENCY 2 4 9 16 15 10 3 1 60 CLASSES CLASS INTERVAL LOWER LIMIT UPPER LIMIT CLASS=90-99 CLASS INTERVAL i=10 EAXCT UPPER LIMIT OF THE CLASS (U)=99.5 EXACT LOWER LIMIT OF THE CLASS (L)=89.5 MID POINT (X)=89.5+99.5/2=94.5 TOTAL OF FREQUENCY (N)= 60
PREPARATION OF FREQUENCY DISTRIBUTION 1. DETERMINING THE RANGE: RANGE=(HIGHEST SCORE-LOWEST SCORE)+1 HIGHEST SCORE=97 (97.5) LOWEST SCORE=22 (21.5) RANGE=(97-22)+1=76 2. DECIDING NUMBER AND SIZE OF CLASSES: DEPENDS ON SIZE OF DATA VALUE OF SIZE OF CLASSES VARY FROM 2, 3, 5, 10, 15, 20. EXCLUSIVE METHOD 30-40 20-30 10-20
2. INCLUSIVE METHOD: 30-39 20-29 10-19 3. REAL LIMIT METHOD: 29.5-39.5 19.5-29.5 9.5-19.5 3. DECIDING THE CLASSES: SHOULD BE IN CONTINUOUS SERIES 4. MAKING THE TALLIES EXAMPLE: FOLLOWING ARE THE ACHIEVEMENT SCORES IN MATHEMATICS OF 50 STUDENTS 41, 50, 47, 47, 43, 39, 44, 39, 52, 35, 49, 55, 53, 39, 50, 54, 36, 38, 48, 51, 45, 42, 44, 46, 42, 46, 49, 46, 48, 43, 45, 39, 36, 40, 38, 40, 37, 35, 44, 30, 41, 37, 33, 42,36, 40, 43, 38, 32, 41. HIGHEST SCORE=55 LOWEST SCORE=30 RANGE=26
CLAS S 54-56 51-53 48-50 45-47 42-44 39-41 36-38 33-35 30-32 i=3 TALLY FREQUENCY CUMULATIVE FREQUENCY(cf) II III IIII I IIII II IIII IIII IIII IIII IIII II III III 2 3 6 7 9 10 7 3 3 N=50 48+2=50 45+3=48 39+6=45 32+7=39 23+9=32 13+10=23 6+7=13 3+3=6 +3
ADVANTAGE OF CLASSIFICATION OF THE DATA PROVIDE MEANING TO THE DATA EASY FOR COMPARISON, PERCENTAGE FREQUENCY DISTRIBUTION EASY TO MAKE GRAPHICAL REPRESENTATION EASY TO CALCULATE MEAN, MEDIAN , MODE, STANDARD DEVIATION, CORRELATION.
