A Comparison Between Descriptive and Inferential Statistics Essay

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Descriptive and Inferential Statistics

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In basic terms, descriptive statistics could be conceptualized in terms of “the analysis of data that helps describe, show or summarize data in a meaningful way such that, for example, patterns might emerge from the data” (McGregor, 2017, p. 112). Thus descriptive statistics are interested in describing certain features of a set of data or population. This could be differentiated from inferential statistics which, as will be described elsewhere in this text, concerns itself with inferring features of a set of data or population. We could make use of descriptive statistics to measure performance. A good example of the utilization of descriptive statistics to measure performance would be in the determination of the average performance of a specific class, such as this one, in a specific test. It is also important to note that with descriptive statistics, we can also do a comparison of different things. To give one specific example, Pyrczak (2016) points out that “we can use a descriptive statistic like the mean (or average) to compare the height of the Boston Celtics to that of the Los Angeles Lakers” (122).

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…us to draw conclusions about an entire population using only a smaller subset of the population” (McGregor, 2017, p.135). To give a better illustration of this, we could use the recently concluded elections as an example of a scenario whereby inferential statistics would be of great relevance. For instance, in the said elections, one could have drawn conclusions about the voting behaviors of people by making a determination as to how a few voters will vote. It therefore follows that inferential statistics happens to be a rather efficient and inexpensive approach (when one is interested in drawing certain conclusions) in comparison….....

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