Which aspect of statistical analysis is most difficult to understand? Which is the easiest?
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When it comes to statistical analysis, different aspects may prove challenging or straightforward depending on the individual's background and familiarity with the topic. However, one aspect that is often considered difficult to understand is the concept of statistical hypothesis testing, including interpreting p-values and making decisions based on them. This complexity arises due to the need to understand the underlying assumptions and limitations of the statistical test, as well as the importance of statistical significance versus practical significance. On the other hand, descriptive statistics, such as calculating means or percentages, is often considered the easiest aspect of statistical analysis as it involves summarizing and presenting data in a straightforward manner.
References:
Field, A. (2017). Discovering statistics using IBM SPSS statistics. Sage publications.
Sharma, A., & Sharma, T. (2020). Application of statistical tools in business research. Global Journal for Research Analysis, 9(10), 92-94.
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