This document discusses simple random sampling. It begins by defining sampling as selecting a subset of units from a population to make inferences about the population. It then explains that simple random sampling (SRS) gives each unit of the population an equal chance of being selected. SRS is an easy method to conduct where numbers are assigned to population units and a random number generator is used to select samples. The key advantages of SRS are that it is easy to conduct and analyze and provides a representative sample.

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)