Learning Goals
Students will be able to collect and organize packaged food weight data from real sealed products and represent the distribution with dot plots, histograms, and box plots.
Students will be able to calculate and compare mean, median, and interquartile range for two or more packaged food data sets to judge differences in center and spread.
Students will be able to interpret shape, center, spread, and outliers in food weight distributions to determine whether the labeled weight gives a fair picture of what is inside.
Students will be able to justify a fairness claim about packaged food labels using multiple pieces of statistical evidence and acknowledge limitations in the data collection method.
Students will be able to collaborate to revise a shared consumer recommendation after peer critique and feedback from the ice cream scientist.
Products
Packaged Food Weight Investigation Notebook
A research notebook that documents each student's question, measurement plan, raw weight data, graphs, statistical calculations, and individual fairness analysis. It must show how the student chose methods, identified anomalies, and revised thinking from initial prediction to evidence-based conclusion.
Fair or Not Fair Package Weight Investigation Report and Data Walk Presentation
A team report and presentation synthesizing all members' evidence into one defended claim about whether the package label is fair. It includes combined visualizations, summary statistics, discussion of anomalies and limitations, and a consumer recommendation supported by each member's individual findings.
No rubric has been generated yet.