Students learn to plot bivariate data, identify trends, and spot outliers using a real-world scenario of sleep and mood.

A comprehensive guide to analyzing and graphing rational functions, covering all key features from asymptotes to holes.

An advanced look at slope as a rate of change, including calculation from coordinates and understanding special cases like zero and undefined slopes.

A comprehensive assessment lesson focusing on mastering one-step equations involving multiplication, division, and basic addition/subtraction.

A hands-on math project where students design carnival games to explore theoretical versus experimental probability through data collection and analysis.

A highly scaffolded lesson on angle relationships (vertical, complementary, and supplementary) featuring an architectural blueprint theme. Includes guided notes with exemplars and step-by-step practice materials.

Advanced applications of central tendency and spread, including algebraic problem-solving, weighted means, and the mathematical impact of outliers for high school students.

A comprehensive assessment covering Level 1, Level 2, and Level 3 data analysis, designed to evaluate mastery of mean, median, mode, and range in both numerical and narrative contexts.

Students interpret and solve word problems involving mean, median, mode, and range, focusing on extracting data from narrative contexts and real-world scenarios.

A foundational lesson designed for SIFE students to understand fractions greater than one using visual models and fraction strips. Focuses on bridging concrete models to number lines with minimal text reliance.

A collection of extra practice cases for mean, median, mode, and range, ranging from single-digit warmups to double-digit challenges, themed as unsolved detective files.

Students apply their knowledge of mean, median, mode, and range to data sets featuring two-digit numbers, focusing on multi-digit addition and division.

A lesson focused on identifying and interpreting outliers in box plot data visualizations, using a forensic detective theme to engage students in data analysis.

Students learn to calculate mean, median, mode, and range using single-digit data sets through structured, step-by-step guided practice and visual aids.