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FEATURES OF CLASSIFICATION
1. Data is classified into various groups.
2. Classification is done on the basis of some
similarity
3. Classification may be on actual or some
notional basis
4. Classification is done in such a manner that
unity in diversity is presented.
OBJECTS OF CLASSIFICATION
1. TO END DIFFICULTY AND COMPLEXITY
2. TO POINT OUT SIMILARITIES &
DISSIMILARITIES
3. SAVING OF LABOUR & TIME
4. PROVIDING COMPARATIVE STUDY
5. LOGICAL ARRANGEMENT
6. BASIS OF TABULATION
CHARACTERISTICS OF GOOD
CLASSIFICATION
1. CLEAR & SPECIFIC
2. COMPLETE OR EXHAUSTIVE
3. STABILITY
4. FLEXIBILITY
5. HOMOGENEOUS
6. FAVOURABLE
METHODS OF
CLASSIFICATION
ACCORDING TO
ATTRIBUTES/
QUALITIES
ACCORDING TO
CLASS- INTERVALS
ACCORDING
TO
ATTRIBUTES/
QUALITIES
DICHOTOMY MANIFOLD
When the collected data is classified
according to the qualities then it is known
as classification according to attributes/
qualities.
Ex. According to gender, eyes, honesty, etc.
1. CLASSIFICATION ACCORDING TO
ATTRIBUTES/ QUALITIES
It can be of two types:
I. DICHOTOMY CLASSIFICATION
II. MANIFOLD CLASSIFICATION
1. DICHOTOMY CLASSIFICATION
When classified on the basis of one quality.
Ex. Literate-illiterate, male- female, etc.
2. MANIFOLD CLASSIFICATION
When classified on the basis of two or more
than two qualities. Ex. Population classified
on the basis of sex & religion.
 It is also known as classification according
to variables or quantitative classification.
 The data is classified on the basis of
quantity.
2. CLASSIFICATION ACCORDING TO
CLASS INTERVALS
 In the words of Prof. Connor, “if two
variable quantities can be arranged side
by side so that measurable difference is
that one corresponds with measurable
difference in the other, the result is said
to form a statistical series.”
MEANING OF STATISTICAL
SERIES
ON THE BASIS OF QUALITY
1. TIME SERIES
2. SPATIAL SERIES
3. CONDITION SERIES
ON THE BASIS OF CONSTRUCTION
1. INDIVIDUAL SERIES
2. DISCRETE SERIES
3. CONTINUOUS SERIES
KINDS OF STATISTICAL SERIES

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Classification of Data

  • 1.
  • 2. FEATURES OF CLASSIFICATION 1. Data is classified into various groups. 2. Classification is done on the basis of some similarity 3. Classification may be on actual or some notional basis 4. Classification is done in such a manner that unity in diversity is presented.
  • 3. OBJECTS OF CLASSIFICATION 1. TO END DIFFICULTY AND COMPLEXITY 2. TO POINT OUT SIMILARITIES & DISSIMILARITIES 3. SAVING OF LABOUR & TIME 4. PROVIDING COMPARATIVE STUDY 5. LOGICAL ARRANGEMENT 6. BASIS OF TABULATION
  • 4. CHARACTERISTICS OF GOOD CLASSIFICATION 1. CLEAR & SPECIFIC 2. COMPLETE OR EXHAUSTIVE 3. STABILITY 4. FLEXIBILITY 5. HOMOGENEOUS 6. FAVOURABLE
  • 7. When the collected data is classified according to the qualities then it is known as classification according to attributes/ qualities. Ex. According to gender, eyes, honesty, etc. 1. CLASSIFICATION ACCORDING TO ATTRIBUTES/ QUALITIES
  • 8. It can be of two types: I. DICHOTOMY CLASSIFICATION II. MANIFOLD CLASSIFICATION
  • 9. 1. DICHOTOMY CLASSIFICATION When classified on the basis of one quality. Ex. Literate-illiterate, male- female, etc. 2. MANIFOLD CLASSIFICATION When classified on the basis of two or more than two qualities. Ex. Population classified on the basis of sex & religion.
  • 10.  It is also known as classification according to variables or quantitative classification.  The data is classified on the basis of quantity. 2. CLASSIFICATION ACCORDING TO CLASS INTERVALS
  • 11.  In the words of Prof. Connor, “if two variable quantities can be arranged side by side so that measurable difference is that one corresponds with measurable difference in the other, the result is said to form a statistical series.” MEANING OF STATISTICAL SERIES
  • 12. ON THE BASIS OF QUALITY 1. TIME SERIES 2. SPATIAL SERIES 3. CONDITION SERIES ON THE BASIS OF CONSTRUCTION 1. INDIVIDUAL SERIES 2. DISCRETE SERIES 3. CONTINUOUS SERIES KINDS OF STATISTICAL SERIES