The previous article was written with the title: “ How to Activate and Load the Data Analysis Toolpak in Excel“. One way that can be used is to use the sampling menu on the data analysis toolpak in Excel. There are several ways that researchers can use to select a random sample. How to Select a Random Sample Using Excel In fact, the observed population generally has a large sample size. It is intended to make understanding the random sample selection technique easier. Here, Kanda Data only give an example of a population of 20 vegetarian consumers. What is the technique for selecting a sample of 10 vegetarian consumers from the total population observed? Detailed data on population names and names of vegetarian consumers can be seen in the table below:īased on the table above, the researcher will take a sample of 50%, so the number of samples taken is 10 vegetarian consumers. In this study, the researcher will take a random sample of 50% of the total observed population of vegetarian consumers. It is known that the researcher has collected data on a population of 20 vegetarian consumers. An example of a case study a researcher will observe vegetarian consumers in a community. The sampling technique using simple random sampling is done by giving each member of the observed population an equal opportunity to be selected as a sample. Example of Sampling Technique Using Simple Random Sampling On this occasion, Kanda Data will write a tutorial on how to randomly select samples from the observed population using the simple random sampling technique. The sampling technique using simple random sampling can quickly be done using Excel. There are several ways that researchers can use to select samples from the population being studied randomly.Įxamples of sampling techniques that can be used are random tables or other techniques that ensure that each member of the population has the same opportunity to be selected as the sample. In the sampling technique using simple random sampling, researchers need to understand well how to take random samples. Researchers can use several alternative sampling techniques according to the characteristics of the population being observed. The researcher should not use simple random sampling if these two assumptions are not met. If these two assumptions have been met, the researcher can choose a simple random sampling technique to select a number of samples from the observed population. The two assumptions are that there is a sample frame and homogeneous population members. To be able to use the simple random sampling technique, researchers need to ensure that there are at least two assumptions that must be met. This sampling technique randomly selects the sample from the existing population. The sampling technique of simple random sampling is a sampling method that provides equal opportunities for each member of the population to be selected as a sample.
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