Descriptive statistics are used to display quantitative portrayals in a convenient way. Descriptive statistics are precious because if we merely exhibited our raw data, it would be challenging to envision what the data signified, mainly if there were many. We may have several steps in a research report ( Conner & Brian, 2017) . Descriptive statistics are useful in allowing significant simplifications in vast quantities of data. Each explanatory figure reduces multiple data to a more concise description.
Therefore, I agree with this assertion by the students that using Excel can help discover descriptive statistics. Murder cases on the FBI website are part of the evidence and are suitable for research using descriptive statistics. This will allow the community to anticipate how claims would be spread and how their issues will help hunt for solutions and techniques to avoid such cases.
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One of the key benefits of using excel is that it makes data entry smooth and straightforward. MS Excel provides functions such as the Ribbon interface, a series of commands used to execute certain operations compared to some other data entry and analysis tools ( Andrews et al, 2020) . Also, Excel helps you to construct a graphic illustration of information and data. The information can be viewed physically in the form of column charts, bar charts, and graphs. Automatically revises the maps and tables until the data is updated. Tables help to identify various individuals according to their attributes and characteristics. Excel also executes all mathematical and logical operations such as addition, subtraction, multiplication, division, average, number, mod, product, etc. Excel offers a variety of formulas that help you solve both basic and complicated equations.
Advanced sorting and filtering strategies help you sort out a vast volume of data and make it easy for you to find the details you need. Using this approach, the descriptive statistical differences over the different years are easily seen, making it an appropriate method.
References
Andrews, I., Gentzkow, M., & Shapiro, J. M. (2020). On the informativeness of descriptive statistics for structural estimates. Econometrica , 88 (6), 2231-2258.
Conner, B. (2017). Descriptive statistics. American Nurse Today , 12 (11), 52-55.
