A.1.9.1 It Begins With Data
The purpose of this assignemnt is help you get familiar with entering data into a spreadsheet and then get ready to find statistics using technology.
Enter the data values into the spreadsheet below
![](data:image/png;base64,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)
How many values are in the spreadsheet? (values are the data, not the row numbers)
Notice the labels on the top (letters) and the left (numbers) side of the screen. The data value 7 is in cell A1 and the data value 5 is in cell A5 List all of the cells that contain the data value 13.