###
**Non-Probability sampling**

The process of selecting a sample from a population
without using statistical probability theory.

Example

Lets say that the university has roughly 10000
students. These 10000 students are our population (N). Each of the 10000
students is known as a unit, but its hardly possible to get known and select
every student randomly.

Here we can use Non-Random selection of sample to
produce a result is it called sampling.

Non-probability sampling-statistical aid |

###

**Applications of non-probability sampling**

· This
type of sampling can be used when demonstrating that a particular trait exist
in the population.

· It
can also be useful when the researcher has limited budget, time and workforce.

###
**Advantage**** of non-probability sampling**

·
Select
samples purposively

·
Enable
researchers to reach difficult to identify members of the population.

·
Lower
cost

·
Limited
time.

###
**Disadvantage ****of non-probability sampling**

Difficult to make valid inference about the entire
population because the sample selected is not representative.

We cannot calculate confidence interval.

Selection bias exit which is the huge demerits of non-probability sampling comparing to probability samplig.

###
**Types of non
probability sampling**

- Convenience sampling
- Accidental sampling
- Purposive sampling
- Snowball sampling/Network Sampling

How to analyze data using SPSS (for beginners)-part 1

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