The document discusses the concept of sampling in research, highlighting the importance of selecting a representative sample from the entire population. It outlines various techniques for sampling, including probability methods like simple random and stratified sampling, as well as non-probability methods such as convenience sampling. The document emphasizes that careful consideration of sample size and demographics is crucial for conducting effective research.

1. Presented by
Shenam Ashfaq
Shah AbdulAzeem

2. Sample is the number of people that are selected form the
entire population for the purpose of research by the
researcher.
A sample is the true representative of the entire population
and the values driven out form that sample are held to true
for the entire population.

3. It is deemed essentially important that the right sample is
selected for the purpose of research.
Not everybody in the population can be selected for
research. Only a certain number of people could be selected
that actually depict the true picture for the entire
population.

4. For choosing the right sample, the researcher must first
determine:
Sample Size:
The number of people to be researched
Sample Demographics:
It includes the basic demographics of sample like
Age
Gender
Income
Occupation
Residence
Education
Religion
Believes

5. A- Probability Sampling
1- Simple Random Sampling
2- Stratified Random Sampling
3- Systematic Random Sampling
4- Cluster Random Sampling
B- Non probability Sampling:
1- Convenience Sampling

6. Probability sampling is the random sampling in
which every individual of the sample has an equal
opportunity to be selected for the research.

7. Simple random sampling involves choosing a
sample according to the requirement of the thesis
and out of that sample, choosing the people on
random. Just anyone in the sample could be
selected.

8. In stratified sampling, the population to be
researched is divided into layers or groups. From
within these different groups, people are selected
randomly. But all of the groups have to be included
in the research.

9. In this technique, the sample population or the
groups are chosen at random. Once they are
selected, the individuals in the sample are chosen
at a regular fixed interval. Like every fifth or tenth
person in the sample is selected.

10. For researching a large portion of the population,
the population is divided into separate groups or
clusters and each cluster could be treated
separately for the purpose of research.

11. Non random sampling involves selecting the
sample population on non random basis. It means
that not everyone in the population has a equal
chance of being selected.

12. Convenience sampling is the non probability
sampling technique in which the sample population
is selected at the ease and convenience of the
researcher.

13.  Sample
 Choosing the right sample
 Essentials for Choosing a Sample
 Sampling techniques
 Probability Sampling
 Simple Random Sampling
 Stratified Random Sampling
 Systematic Random Sampling
 Cluster Random Sampling
 Non probability Sampling
 Convenience Sampling

14. Thank you for listing