Presentation on“Analysis of DATA”By: Pankaj kumar chauhan
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.”
Analysis of DATA Process of data Methods of data analysis analysis Editing Coding Classification Tabulation Measure of Measures of ANNOVA Time series Regression ¢ral tendency dispersion Analysis correlation
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.
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
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.
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.
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.
Methods of Data Analysis• Following are the methods to analyses the statistical data-1. Measure of central tendency2. Measure of dispersion.3. Measure of skewness.4. The ANNOVA technique.5. Regression and correlation.6. Parametric test.7. Time series analysis etc.