SAP REVIEWER

• Simple Random Sampling

  is one of the most fundamental and widely used sampling techniques in statistics. It ensures that every member of the population has an equal chance of being included in the sample. making it an unbiased method for collecting data. 
• Convenience Sampling is a non-probability sampling technique where individuals are chosen because they are easily accessible or conveniently available at the time of data collection.
• Systematic Sampling


  is a random sampling technique in which every k element of the population is selected until the desired number of elements in the sample is obtained. The value of & is calculated by dividing the number of elements in the population by the number of elements in the desired sample. The value of k is the sampling interval.
• Stratified random sampling


  is a type of probability method using which a research organization can branch off the entire population into multiple non-overlapping, homogeneous groups (strata) and randomly choose final members from the various strata for research which reduces cost and improves efficiency. This sampling method is also called 'random quota sampling." 
• Purposive Sampling


  also known as judgmental, selective, or subjective sampling, is a non-probability sampling method where the researcher selects units to be sampled based on their knowledge and professional judgment. This method is particularly useful in situations where the researcher needs to target a specific subgroup or characteristic that is crucial to the study.  
• Cluster Sampling


  is a random sampling technique in which the entire population is broken in to small groups or cluster and then, some of the clusters are randomly selected. The data from the randomly clusters are the one that analyze.