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Data Analysis and Probability

Which Pocket?

6-8
In this lesson, students continue their investigation by discovering a rule to predict the pocket in which the ball will land. As an extension, students can also consider the number of squares that a ball crosses while traversing its path.
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Data Analysis and Probability

Graphical Representations for the Number of Hits

6-8
Finding a rule for the number of hits is only the first step in exploring the Paper Pool game. Students can gain a deeper understanding of the patterns by considering graphical representations of the results.
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Data Analysis and Probability

Barbie Bungee

6-8, 9-12
The consideration of cord length is very important in a bungee jump—too short, and the jumper doesn’t get much of a thrill; too long, and ouch! In this lesson, students model a bungee jump using a Barbie® doll and rubber bands. The distance to which the doll will fall is directly proportional to the number of rubber bands, so this context is used to examine linear functions.
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Data Analysis and Probability

The Next Billion

6-8
In 1999 the world population passed the 6 billion mark. In this lesson, students predict when it will reach 7 billion. Students discuss the reliability of their predictions, compare them to past trends, and discuss social factors that can affect population growth.
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Data Analysis and Probability

Using NBA Statistics for Box and Whisker Plots

6-8
In this lesson, students use information from NBA statistics to make and compare box and whisker plots. The data provided in the lesson come from the NBA, but you could apply the lesson to data from the WNBA or any other sports teams or leagues for which player statistics are available.
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Data Analysis and Probability

Building Height

6-8
Students will use a clinometer (a measuring device built from a protractor) and isosceles right triangles to find the height of a building. The class will compare measurements, talk about the variation in their results, and select the best measure of central tendency to report the most accurate height.
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Data Analysis and Probability

Why Is California So Important?

6-8
In this lesson, students learn about the mechanics of the Electoral College and use data on population and electoral votes for each state. Students calculate the percentage of the Electoral College vote allocated to each state, and use mathematics to reflect on the differences. Several questions are provided to strengthen understanding of measures of central tendency and fluency with decimals and percents.
Data Analysis and Probability

How Tall?

6-8, 9-12
We often hear that there are measurements in the body that can be used to predict a person’s height. By graphing different body measurements versus height and comparing their correlation coefficient, students decide which body measurement is the best predictor.
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Data Analysis and Probability

Summer Daze

6-8
Students begin by breaking down a typical summer day into a variety of activities and the amount of time they spend on each.  They then translate their activity times into a simplified fraction, a decimal, and a percent.  Students create a pie chart for this information that is unique to them.  Students who struggle with the calculations will have the opportunity to practice these conversions by playing a game that can easily be differentiated for various levels of learners.
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Data Analysis and Probability

What Are My Chances?

6-8
Students will conduct five experiments through stations to compare theoretical and experimental probability. The class data will be combined to compare with previously established theoretical probability.