#### Non probability sampling methods with application, Advantages and Disadvantages

The process of selecting a sample from a population without using statistical probability theory is called non probability sampling. For example,

Lets say that a 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.

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.

**Advantages**

- Select samples purposively
- Enable researchers to reach difficult to identify members of the population.
- Lower cost
- Limited time.

**Disadvantages**

**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

How to analyze data using SPSS (part-2), how to input data in SPSS

How to analyze data using SPSS (part-3), how to import data in SPSS from excel file

__How to analyze data using SPSS (part-4), how to sort data in SPSS__

__How to analyze data using SPSS ( part-5) how to merge file in SPSS? __

How to analyze data using SPSS ( part-6), how to merge file in SPSS

How to analyze data using SPSS (part-7), Finding missing values, Replacing missing values, Coding missing values in SPSS

How to analyze data using SPSS (part-8), variable transformation, Recoding variables in spssUnivariate Analysis (data analysis using spss part-9)

Bivariate analysis| How to analyze data using spss (part-10)

Normality check| how to analyze data using spss (part-11)