Question Description
1. Suppose you had daily temperature data indicating the "high" point of eachday for 2015. If you want to show how the high differs over time, what are someof the plot types that will allow you do this? What are some benefits to binningthe data into one of 52 weeks and plotting the average high for each week? Wouldit make sense to do something similar for the four quarters in the year? Why orwhy not?
2. Many times, data are missing because of various reasons. This poses somechallenges when doing data analysis. For example, suppose you wanted to do someanalysis of the yearly incomes of the faculty at GCU. When asked for theirincomes, 25% of the faculty did not participate in the survey; therefore, theirincomes are missing from the dataset. How would you summarize the income data inthis case? Is it appropriate to ignore the missing incomes and summarize thedata without them? Should you estimate the missing incomes, perhaps with theoverall average, to complete the data set?
***Nothing major…..Usually my professor looks for a couple detailed paragraphs explaining all parts of the question. Thank you!
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