Organization of Data
1. Classification of Data: The process of grouping data according to their characteristics is known as classification of data.
2. Objectives of Classification:
a] To simplify complex data
b] To facilitate understanding
c] To facilitate comparison
d] To make analysis and interpretation easy.
e] To arrange and put the data according to their common characteristics.
3. Statistical Series: Systematic arrangement of statistical data
I. Can be on the basis of individual units :
The data can be individually presented in two forms:
i] Raw data: Data collected in original form.
ii] Individual Series: The arrangement of raw data individually. It can be expressed in two ways.
a] Alphabetical arrangement : Alphabetical order
b] Array: Ascending or descending order.
II. Can be on the basis of Frequency Distribution:
Frequency distribution refers to a table in which observed values of a variable are classified according to their numerical magnitude.
1. Discrete Series: A variable is called discrete if the variable can take only some particular values.
2. Continuous Series: A variable is called continuous if it can take any value in a given range. In constructing continuous series we come across terms like:
a] Class : Each given internal is called a class e.g., 05, 510.
b] Class limit: There are two limits upper limit and lower limit.
c] Class interval: Difference between upper limit and lower limit.
d] Range: Difference between upper limit and lower limit.
e] Midpoint or Mid Value: Upper limit  Lower limit
2
f] Frequency: Number of items [observations] falling within a particular class.
i] Exclusive Series: Excluding the upper limit of these classes, all the items of the class are included in the class itself. E.g., :
Marks  010  20Oct  2030  3040 
Number of Students  2  5  2  1 
ii] Inclusive Series: Upper class limits of classes are included in the respective classes. E.g.,
Marks  09  19Oct  2029 
Number of Students  2  5  2 
Open End Classes : The lower limit of the first class and upper limit of the last class are not given. E.g.,
Marks  Below 20  2030  3040  4050  50 and above 
Number of Students  7  6  12  5  3 
iii] Cumulative Frequency Series: It is obtained by successively adding the frequencies of the values of the classes according to a certain law.
a] ‘Less than’ Cumulative Frequency Distribution :
The frequencies of each classinternal are added successively.
b] ‘More than’ Cumulative Frequency Distribution:
The more than cumulative frequency is obtained by finding the cumulative totals of frequencies starting from the highest value of the variable to the lowest value.
Marks  No. of Students 
010  2 
1020  5 
2030  10 
3040  12 
4050  17 
5060  4 
Marks  No. of Students 
Less than 10  2 
Less than 20  7 
Less than 30  17 
Less than 40  29 
Less than 50  46 
Less than 60  50 
Marks  No. of Students 
More than 0  50 
More than 10  48 
More than 20  43 
More than 30  33 
More than 40  21 
More than 50  4 
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