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In censuses and large scale surveys, enumerators (persons who collect data are called as enumerators) are engaged to collect information from the persons concerned. They gather information in schedules or questionnaire specially prepared for the purpose in the form of answers given by the respondents to specific questions.

NANA NANI PARKS TURNING TO LOVERS PARKS.

Public family parks and gardens occupied by lovers is a issue which is highlighted every now and than by News Channels in India. In most of the urban areas in India the public parks , gardens and beaches developed for family recreation are occupied by romantic unmarried or newly married couples.

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It should be noted that the information collected through questions should be such that it is usable.

Advantages:

• It can be administered to large groups of individuals.
• It is much less time consuming and is economical.
• A much larger coverage can be made as people in distant places can be reached without much difficulty.
• It is advantageous in a situation where the persons concerned move to far away places. For example, in an enquiry relating to old students of a collage, such a method may be useful as students move out and away after leaving the institution.

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Questionnaires are usually administered on paper, in a structured or semi-structured format. Respondents often choose from among a set of forced-choice, or provided, responses. These can include yes/no or scaled responses. Questionnaires can be administered in person, by mail, over the phone, or via email/Internet.

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The indirect personal investigation is through some agencies that have intimate knowledge of the phenomenon under enquiry. For example, an investigator may collect information about cost of cultivation indirectly from village head instead of collecting the information from farmers.

Advantages:

• It is less time consuming and expensive.
• As information can be collected from more knowledgeable persons, these are expected to be more useful and reliable.
• As fewer persons need be contacted, the enquiry could be more extensive than in case of direct personal enquiry.

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Dispersion on the other hand is about, as in above case, whether majority of students have scored marks near the average or far away from the average. For example average of 1 and -1 is 0. Similarly average of 100 and -100 is also 0. In the first case data values are near the average i.e dispersion is less while in the second case data values are more scattered or spread or away from the average i.e dispersion is more. The most common measure of dispersion is the standard deviation

2.2 Methods of collection of primary data*

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CHAPTER 2
Measures of Central Tendency And Dispersion

2.1 Introduction

In this chapter we will study various types of data, methods of data collection , data representation and measures of central tendency.

First question is ‘What is data’? Data is a set of something that we want to know about the object or objects under study. For example if we want to study performance of students in an examination, set of marks obtained by students will be our data.

  • glamourglamour
  • January 5, 2008
  • 0 Comments
hi to all

Hi to all the members of eblogs and I am feeling good to be here..hope to have a good and nice time with all of you.

Hope to see all of you in flying colors and be happy always.

Life is a challenge so one must take each and every work as a challenge to compete and complete it successfully and fruitfully.

Always strive for a better tomorrow, do not leave any stone unturned to make ur life a PARADISE….

Look before u leap into any of the fields u are going to work and analyse the results so that you are not going to face any embarrasement in future.

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Association.
Two variables are associated if variation in one variable has effect on variation in other variables.

Correlation.
It is a measure of association between variables.

Scatter Diagram or Scatter Plot
It is graph obtained by plotting of values of two variables which describe single bivariate observation (e.g. height and weight of a person). One variable (independent variable) X coordinate and the other variable (dependent variable) as Y coordinate.