A unique approach weaves background information about data with practical, hands-on lessons that develop fundamental research skills all students should understand. Easy-to-follow tutorials provide readers with step-by-step instructions to quickly begin analyzing data without having advanced knowledge of data analysis or statistics. Extensive illustrations throughout the book demonstrate to readers how to understand data. End-of-chapter On Your Own exercises challenge readers to develop their skills through easy-to-use data files and questions to reinforce the chapter learning objectives. Student Study Site includes data sets that readers can use to test their data literacy

Calculating Summary Statistics and Number Comparisons

Now that you know how summary statistics and number comparisons can help you find meaning inside data, it’s time to use Excel to run these calculations. We’re going to work with a file called city_crime.xlsx from the book website for our analysis in this chapter. In the next chapter, we’ll learn how to use Excel to sort, filter and group and summarize our data.

Open the file and examine it. You’ll see that we have 2011 and 2012 population, violent crime and property crime data for 31 U.S. cities with 2012 populations greater than 500,000. Chicago and Tucson are missing because their crime data were incomplete.


Source: Federal Bureau of Investigation.

Note: Uniform Crime Report ...

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