Non probability sampling methods with application, Advantages and Disadvantages

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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.

  • 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

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

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