2. What is data analysis?
Data analysis basically the analysis of DATA to check
that whether the data is useful or suitable for the
research or not.
The analysis involve various method and techniques.
“Data analysis refers to completion of certain measure
along with searching for pattern of relationship that
exist among data group.”
3. Analysis of DATA
Process of data Methods of data
analysis analysis
Editing Coding Classification Tabulation
Measure of Measures of ANNOVA Time series Regression &
central tendency dispersion Analysis correlation
4. Process of data analysis
1. Editing:-
It is finding the errors in the data and making the
correction for the same.
The editing is of two types-
i. Field study:-
It is the initial editing done to detect the
omissions & inaccuracies in the data.
5. ii. Office study:-
In this editing the editor must keep in view these things-
• They should be familiar with the instructions given as
the editing instructing
• The entry should made in standardized form.
• The date of editing should be placed in each
completed form
6. 2. Coding:-
• It is the method of classifying answer to a question into
meaning categories.
• The symbols used to indicate these categories are
known as the CODES.
• It is basically the process of assigning symbols to the
answer so that the responses can be put into a limited
no. of classes.
7. 3. Classification:-
It takes place in following forms-
• Attributes-
These are the descriptive characteristics
which refers to qualitative events and their responses.
• Class intervals-
Data relating to the age, weight etc
comes under these categories.
8. 4. Tabulation:-
• When a mass of data has been assembled , it becomes
necessary for researchers to arrange the same in some
kind of concise and logical order.
• These procedure is referred to as tabulation .
• So that, It is the process of summarizing the raw data
and displaying the same in in the compact form of
analysis.
9. Methods of Data Analysis
• Following are the methods to analyses the statistical
data-
1. Measure of central tendency
2. Measure of dispersion.
3. Measure of skewness.
4. The ANNOVA technique.
5. Regression and correlation.
6. Parametric test.
7. Time series analysis etc.
