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MIS 660 Topic 2 DQ 1
Suppose you had daily temperature data
indicating the “high” point of each day for 2015. If you want to show how the
high differs over time, what are some of the plot types that will allow you do
this? What are some benefits to binning the data into one of 52 weeks and
plotting the average high for each week? Would it make sense to do something
similar for the four quarters in the year? Why or why not?
MIS 660 Topic 2 DQ 2
Many times, data are missing because of
various reasons. This poses some challenges when doing data analysis. For
example, suppose you wanted to do some analysis of the yearly incomes of the
faculty at GCU. When asked for their incomes, 25% of the faculty did not
participate in the survey; therefore, their incomes are missing from the
dataset. How would you summarize the income data in this case? Is it
appropriate to ignore the missing incomes and summarize the data without them?
Should you estimate the missing incomes, perhaps with the overall average, to
complete the data set?
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