Introduction Sampling Types of Sampling Techniques Simple Random Sampling

1. School of Education
to

2. SIMPLE RANDOM
Presented by
ATAUR RAHAMAN
Roll No: 190280
SCHOOL OF EDUCATION
CENTRAL UNIVERSITY OF HARYANA
SAMPLING

3. 1.Introduction
2.Sampling
3.Types of Sampling
Techniques
4.Simple Random Sampling
CONTENTS

4. INTRODUCTION
The process of selecting the representative sample units
from the population to study the characteristics of the
population is called sampling.
A population consist number of units usually very large.
In many cases, it is not practically possible to include all
units of the population for the investigation.
Therefore a few units of the population have to be
selected as a representative of the whole population.
So sampling is needed in this situation to draw the
representative sample of the population.

5. A sample is the small portion of the population
which is drawn from the population by using
sampling technique.
Sampling is a process used in statistical analysis
in which a predetermined number of
observations are taken from a larger population.
The process of selecting a number of individuals
for a study in such a way that the individuals
represent the larger group from which they
were selected.
SAMPLE

6.  A Sample is “A Smaller (but Hopefully
Representative) Collection of Units from a
Population used to determine Truths about that
Population” (Field, 2005)
CONT...
Sample:
It is a unit that is selected from population
Represents the whole population
Purpose to draw the inference

7. SAMPLING TECHNIQUES
RANDOM
SAMPLING
NON-
RANDOM
SAMPLING
Random Sampling :
A method of sampling that uses of random selection so
that all units/cases in the population have an equal
probability of being chosen.
Non-Random Sampling:
It does not involve random selection and methods are
not based on the rationale of probability theory.

8. RANDOM SAMPLING
SIMPLE
RANDOM
SYSTEMATIC
STRATIFIE
D RANDOM
CLUSTER
MULTI
STAGE

9. NON-RANDOM SAMPLING
PURPOSIVE
CONVENIENCE
SNOWBALL
QUOTA
THEORETICAL
INCIDENTAL
CRITICAL
CASE

10. SAMPLING TECHNIQUES

11. SIMPLE RANDOM SAMPLING
In SRS all members of a population have an equal and
independent chance of being selected.
It is an equal probability sampling method.
It ensures the best result.
It is best method theoretically but practically if
population is large then complete listing of population
is difficult.
Numbers are assign to all subjects and then using a
random number generator to chose random numbers.

12. SELECTION PROCESS
Identify and define the population
Determine the desired sample size
List all members of the population
Assign all members on the list a consecutive
number.
Select an arbitrary starting point from a table of
random numbers and read the appropriate number
of digits.

13. METHODS OF SELECTION
 Random Number
Tables,
 Tossing of Coins
 Blind Folded
Method,
 Lottery Method,
 Throwing of Dies,
 Sieve Method.

14. ADVANTAGES
Easy to Conduct
Easy Method to Use
Easy to analyze data
High probability of achieving a representative sample
Meets assumptions of many statistical procedures
No need of prior information of population

15. DISADVANTAGES
Identification of all members of the population
can be difficult
Does not use researchers’ expertise
 Larger risk of random error
Low frequency of use
If sampling frame large, this method impracticable.
Contacting all members of the sample can be difficult

16. CONCLUSION
Sample is the small portion of the population
which is drawn from the population.
 It is a unit that is selected from population,
Represents the whole population.
There are two types of Sampling Techniques:
Random Sampling & Non-Random Sampling
In SRS all members of a population have an
equal and independent chance of being selected.
Easy to analyze data It ensures the best result.

17.  Creswell, J., W. (2012) Educational research: Planning,
Conducting, and Evaluating Quantitative and Qualitative
Research, 4th ed.
 Koul, Lokesh (1988), Methodology of Educational Research,
Vikas, New Delhi.
 Patton, M.Q. (2002). Qualitative Research and Evaluation
Methods. Thousand Oaks, CA: Sage.
 Best, john W. and Kahn James V. (1995), Research in
Education, Prentice Hall, New Delhi.
 https://en.wikipedia.org/wiki/Sampling_(statistics)