Simple Random Sample Flashcards, test questions and answers
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What is Simple Random Sample?
A simple random sample (SRS) is a method of sampling that gives every member of a population an equal chance of being chosen as part of the sample. It’s important to note, however, that this does not guarantee that each member will be selected; it merely provides an equal opportunity for each to be chosen.The main advantage of using SRS is its simplicity and randomness. This makes it ideal for use in research, where it can yield representative data from a population that accurately reflects reality. By providing an unbiased view into the characteristics and opinions of the group being studied, researchers can gain useful insights into their subject matter. For instance, if researchers wanted to find out the average opinion amongst people on a particular issue, they could use SRS to get data from those who are actually interested in the issue rather than just those who happen to answer questions on surveys distributed randomly.Of course, there are some drawbacks associated with SRS too. Firstly, it can lead to sampling errors if too few people are chosen or if certain members are overrepresented due to their easier accessibility or willingness to participate. Secondly, because SRS involves randomly selecting individuals from a list or pool that must first be created before selection begins thus requiring more effort than other methods it may not be feasible for large studies where time and money are limited resources. Finally, there is always a risk that unforeseen factors may affect how members within the sample behave or answer questions posed by researchers thus potentially biasing results and making them unrepresentative of reality at large. In summary, simple random sampling is an effective tool for collecting data in research when used appropriately and responsibly; however its limitations must also be taken into account so as not to produce misleading results which could have serious consequences down the road.