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Open a spreadsheet window and enter the data so that each value is in its own cell in column A.
| A | |
|---|---|
| 1 | 7 |
| 2 | 8 |
| 3 | 4 |
| 4 | 13 |
| 5 | 5 |
| 6 | 15 |
| 7 | 14 |
| 8 | 8 |
| 9 | 12 |
| 10 | 2 |
| A | |
|---|---|
| 11 | 8 |
| 12 | 13 |
| 13 | 12 |
| 14 | 13 |
| 15 | 6 |
| 16 | 1 |
| 17 | 9 |
| 18 | 4 |
| 19 | 9 |
| 20 | 15 |
Using the data from the Warm-up, we can calculate a few statistics and look at the data.
We can also use Geogebra to create data displays.
Use the data that you collected from the numerical, statistical question from a previous lesson. Use technology to create a dot plot, boxplot, and histogram for your data. Then find the mean, median, and interquartile range for the data.
Data displays (like histograms or box plots) are very useful for quickly understanding a large amount of information, but often take a long time to construct accurately using pencil and paper. Technology can help create these displays as well as calculate useful statistics much faster than doing the same tasks by hand. Especially with very large data sets (in some experiments, millions of pieces of data are collected), technology is essential for putting the information into forms that are more easily understood.
A statistic is a quantity that is calculated from sample data as a measure of a distribution. Mean and median are examples of statistics that are measures of center. Mean absolute deviation (MAD) and interquartile range (IQR) are examples of statistics that are measures of variability. Although the interpretation must still be done by people, using the tools available can improve the accuracy and speed of doing computations and creating graphs.
A statistic is a quantity that is calculated from sample data, such as mean, median, or MAD (mean absolute deviation).