Peace Weguma
Explain the following: • Probability Sampling and Non-Probability Sampling • Systematic sampling and Cluster Sampling • Advantages of Probability Sampling over Non-probability Sampling • Census vs. sample • Primary and Secondary Data
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1.Probability sampling is a sampling technique in which the researcher chooses samples from a larger population using a random selection while Non-Probability Sampling is when a sample is created through a non-random process. This could include a researcher sending a survey link to their friends or stopping people on the street.
2.Systematic sampling selects a random starting point from the population, and then a sample is taken from regular fixed intervals of the population depending on its size. Cluster sampling divides the population into clusters and then takes a simple random sample from each cluster.
3. The Advantages of Probability Sampling over Non-probability include
creating a sample that is truly representative of the population and been effective in sampling a diverse population.
4.A census is an attempt to gather information about every individual in a population. A sample is a part of the population that is actually examined in order to represent the whole.
5.Primary data refers to the first hand data gathered by the researcher himself. Secondary data means data collected by someone else earlier.