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Conducting a reflective analysis is a critical step in effectively mastering the material because it allows you to summarize the information available and identifies weaknesses that still need to be worked on. For this reason, a reflection on this course on the use of statistical tools in business is imperative. The insights gained in this course are expected to prove incredibly important for future independent research. An in-depth understanding of the reciprocal relationship between various economic variables — as well as the use of techniques to examine them reliably and critically — is of high practical value for one’s career as well. In particular, it will give greater confidence in mastering the numbers and allow you to operate statistical tools to form correct interpretations of the business laws being studied, including the correlation between the two variables.
In particular, one of the assignments of the last course was to study the degree of satisfaction with the quality of food among university graduates. This is essential data that allows us to manage current student concerns and make appropriate adjustments promptly. However, in order to eliminate any errors of bias and inaccuracy, it is essential to think carefully about the sampling strategy. Asking alumni from only one group can bias the actual vector of satisfaction due to the close communication between individuals (Delaney, 2021). Therefore, the best choice for selection would be to use simple random sampling in which each student on the list is given an identification number (Mishra, 2021). The numbers are subsequently randomly selected (e.g., using a number generator), and the selected participants are interviewed in a semi-structured telephone interview. Such a solution would eliminate all problems of bias and completely depersonalize the selection of participants. In addition, it is quite cheap and does not require special technical skills and knowledge.
References
Delaney, J. (2021). The 5 most harmful survey response biases (and how to avoid them). Paperform. Web.
Mishra, P. (2021). 8 types of sampling techniques. TDS. Web.
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