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The great thing about the booklet is that it is not just set up for data collection using any method you choose. It is a generic template that you can use with ANY DATA SET.
This free download can be used in conjunction with the booklet as a method for collecting data. The document includes an Lesson Plan/Activity for using paper airplanes to collect data, the booklet serves as a tool for organizing and analyzing the data. The lesson has pictures to guide your understanding of the activity, incorporates technology through the use of a Google docs form, and also has worksheets for statistical analysis. The premise of the paper airplane activity is to have the students construct a paper airplane, and launch it. They would then measure their distance, the unit of measure is optional depending on the data you want. Then they can use the worksheets to document the information, calculate measures of central tendency, and create different graphical representations OR you also have the option of making a booklet for them to put the info.
(12) Measurement and data. The student applies mathematical process standards to use numerical or graphical representations to analyze problems. The student is expected to: (A) represent numeric data graphically, including dot plots, stem-and-leaf plots, histograms, and box plots; (B) use the graphical representation of numeric data to describe the center, spread, and shape of the data distribution; (C) summarize numeric data with numerical summaries, including the mean and median (measures of center) and the range and interquartile range (IQR) (measures of spread), and use these summaries to describe the center, spread, and shape of the data distribution; and (D) summarize categorical data with numerical and graphical summaries, including the mode, the percent of values in each category (relative frequency table), and the percent bar graph, and use these summaries to describe the data distribution. (13) Measurement and data. The student applies mathematical process standards to use numerical or graphical representations to solve problems. The student is expected to: (A) interpret numeric data summarized in dot plots, stem-and-leaf plots, histograms, and box plots; and (B) distinguish between situations that yield data with and without variability.