by Neetu Goyal

1. STATISTICS
CHAPTER 4
ORGANISATION OF DATA

2. ORGANISATION OF DATA
Organization of data refers to the systematic arrangement of collected
figures (raw data), so that the data becomes easy to understand and
more convenient for further statistical treatment .
CLASSIFICATION OF DATA
Classification is the process of arranging data into sequences and
groups according to their common characteristics of separating them in
to different but related parts.

3. Characteristics of classification:
1. Homogeneity
2.Suitability
3. Clarity
4. Flexibility
5. Diversification

4. OBJECTIVES OF CLASSIFICATION:
• To present data in simple form.
• To bring out similarities and dissimilarities of data.
• To facilitate data comparable.
• Makes data scientific arranged which increases their reliability.
• Classified data may be presented in tables which make data more
effective and attractive.
• Finding out cause-effect relationship in the data.

5. • Variate: A single item out of all the observations in a group may be
called a variate or variable.
• Attributes: The characteristics which are not capable of being
measured quantitatively, are called attributes. For example:
intelligence, beauty, wisdom aptitude for art and music, etc.
• Raw Data: The collected data in an unorganized form is called Raw
Data.
• Statistical Series: The classified information arranged in a logical and
systematical order in a particular sequence is called Seriation or
Statistical Series.
• Tabulation: The classified information presented in precise and
systematic tables is called tabulation.

7. GEOGRAPHICAL CLASSIFICATION
The data are classified with reference to geographical location/place such as countries,
states , cities, districts, block etc.
STATE BIRTH RATE
PER 1000 (2015)
ANDHRA PRADESH 16.8
BIHAR 26.3
GUJARAT 20.4
HARYANA 20.9
KERALA 14.8
UTTAR PRADESH 26.7

8. CHRONOLOGICALICAL CLASSIFICATION
In such a classification data are classified either in ascending or in descending order with reference to
time such as years, quarters, months weeks etc.

9. QUANTITATIVE CLASSIFICATION
• This kind of classification is based on figures or in other words, which
is based on such characteristics which are capable of quantitative
measurement like height, weight, income, marks obtained, etc.
• As the grouping is based on numbers, such data are called Numerical
or Quantitative Data.
• Data published in newspapers, advertisements, etc. related to the
temperatures of cities, cricket averages, incomes, expenditures, etc.

10. Weight (in Ibs) No. of Students
70-80 40
80-90 50
90-100 150
100-110 250
10-120 200
120-130 100
130-140 50

11. QUALITATIVE CLASSIFICATION
• As it is clear by its name that qualitative data are classified according
to the characteristics or attributes such as gender, religion, education,
etc. which we cannot measure and only find out the presence or
absence of an attribute in an individual.
MANAGEMENT WISE NUMBER OF SCHOOLS
S.NO. MANAGEMENT NO. OF SCHOOLS
1. GOVERNEMENT 4
2. LOCAL BODY 8
3. PRIVATE AIDED 10
4. PRIVATE UNAIDED 2
TOTAL 24