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The mathematical purpose of this activity is to gain familiarity with entering data into a spreadsheet and to prepare students for finding statistics using technology.
Arrange students in groups of 2. If students are using the digital version of the materials, show them how to open the GeoGebra spreadsheet app in the math tools. If students are using the print version of the materials, they can access the GeoGebra spreadsheet app at www.geogebra.org/spreadsheet. If students will be using statistical technology other than GeoGebra for this activity, prepare alternate instructions.
Make sure students input the data in one column, even though the data are represented in two columns in the task statement.
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 |
The goal is to make sure that students know how to type data into a spreadsheet and to locate values in the spreadsheet by row and column. The locations will be referred to with spreadsheet functions in upcoming activities. Here are some questions for discussion.
The mathematical purpose of this activity is to calculate statistics, create data displays, and to investigate how those change when values are added or removed from the data set. Monitor for students discussing the relationship between outliers and the measure of center.
Keep students in the same groups. They will continue working using the spreadsheet they started in the previous activity.
Tell students that statistics are values that are calculated from data, such as the mean, median, or interquartile range.
Tell students that after they change the value in A1 to change the mean in the first set of questions, they should continue to use the changed values for the second set of questions rather than reset them to the values from the warm-up.
Note that GeoGebra is like any other computer program. It needs directions written in a specific way for it to execute a command. For example, if students forget to type the “=” symbol or don’t capitalize “Sum,” the formula won’t work. Ask students to pause after typing the formulas and to ensure that cells D1, D2, and D3 display numbers for each statistic. If not, ask students to delete the contents of the cell and retype the formula, ensuring that they start with an “=” symbol and capitalize “Sum,” “Mean,” and “Median.” If students will be using statistical technology other than GeoGebra for this activity, prepare alternate instructions.
The mathematical purpose of this activity is for students to create data displays and calculate statistics using technology. Students plot the survey data that they collected from a statistical question in a previous lesson.
If students are using GeoGebra or the Spreadsheet tool in Math Tools to create a histogram, there is an issue when the maximum value is on the boundary of the greatest interval. In this case, GeoGebra includes the maximum value with the previous interval rather than following the convention of creating a new bar for the next interval. Address this issue during the Launch.
The goal of this lesson is for students to display and investigate data using technology. Here are some questions for discussion.
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.
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