Students access and review statistical concepts and graphical representations to investigate the issues of sustainability surrounding a personal electronics item that they use every day. Students estimate and rewrite large numbers, calculate the mean of a given data set, calculate the median, upper and lower quartiles of a data set using algebraic and graphical methods, construct a box-and-whisker plot for a given data set.
Students use an online ecological footprint calculator to learn about the impact that each human has on the environment. This lesson acts as both the activator for the unit and a debriefing tool at the end of the unit.
Students explore the concept of miles per dollar. By using information about gasoline, students solve word problems involving basic arithmetic operations and to analyze, graph and interpret their results.
Students understand how to evaluate a product or process for “Greenness”. Students will be introduced to the sustainability triangle and the lifecycle diagram and use these tools to evaluate a product.
Students compute ratios with large numbers and study the effects of plastic bag consumption in countries across the world. Students will manipulate data to show bag consumption per person/year/week/month. They will then use this information to draw conclusions about their own consumption and ways to reduce plastic bag usage.
Students apply statistical modeling tools to world population data. These will then be used to predict the population of the world in 2050. Students will calculate ratios and percentages, represent data via circle graphs, use exponential equations to make calculations, model data using trend lines and the regression capabilities of the graphing calculator.
In this multi-lesson unit, students explore municipal waste and its impacts upon communities. Students will read and interpret various graphs, use estimation, use percentages and fractions, correlation coefficients and use function notation.
This unit gives students an understanding of the waste generated through consuming bottled water. Students will use statistics, linear algebra, functions and regression models to analyze data in order to make an environmental decision.