University of Missouri Kansas City Khimji Ramdas Company in Oman Research Paper
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Information graphics often serve two purposes: helping researchers better understand the data they are analyzing and communicating analytic results to others. In Assignment 1.5, you were asked to create histograms and frequency tables. Discuss how these graphics helped you assess skew and kurtosis. If you were presenting these data as frequency tables, what impact would changing the size of the bins have in communicating the results to a non-technical audience?
150 words please and I need you to respond to two of my classmates answers. Respond as in not just I agree or disagree but explaining as well what you agree/disagree on. I will attach the rubric. Please use APA format
Below, I will paste several classmates answers for you to respond. I need two responses along with at least 150 words of my own answer.
student 1 – Definitely for anyone who does not have any knowledge or clear concepts about statistics, to talk in terms of kurtosis or skew could be confusing, even more the manipulation of a large amount of values could be chaotic at the beginning. Graphics as Histogram and Bar graph are visually strong and appealing, making them easily to understand for the audience. Additionally, takes a lot of effort to go though numerical data, using the diagrams and graphs give us a panorama and better idea how is the behavior of the research. Frequency tables help to summarize an unorganized data, however, as a researcher we need to be careful playing with the size of the bins, otherwise the results could be also not comprehended or some information could be misunderstanding.
student 2 – As for the Frequency and relative Frequency in the Frequency table, you can generally see if the whole data is normally distributed. When the data in the middle from the frequency or relative frequency is relatively large, you can judge the data is normally distributed. The same is true of histogram, but histogram provides more intuitive graphics. However, neither histogram nor frequency table can directly prove whether the data are normally distributed from the data. They can only give us a rough “feeling”. To some extent, the size of the bin determines how the histogram gives viewers feelings. If you use too few bins, the histogram will not describe the data well, while if you use too many bins, the histogram will not provide enough sense of distribution.
student 3 -First things first, I had to enter the data manually into StatCrunch because it hates me… However, it was much easier to navigate with an actual purpose as compared to my undergraduate class. I was glad it offered me the option of binning the data because if it had not, the table would have been huge. When presenting that to an audience it would have bored them, and my point would have been lost on them very quickly. The fact is most people do not have the attention span for too many details. In the military there is a pharse (of which I hate) BLUF. Bottom Line Up Front. It is a polite way of saying “Get to the point” and thankfully StatCrunch allows me to do that. This was also extremely helpful to point out to me the skew and kurtosis.
