Decomposing Error

A premium, student-facing draft and rule booklet for English Listening and Speaking (L&S) across 8 core units of pronunciation and speech skills.

A mini-lesson on transforming trigonometric sine and cosine functions. Students will learn to identify key wave parameters, sketch transformations on a grid, write equations from sinusoidal graphs, and model real-world periodic phenomena.

A rigorous STEM project combining structural engineering with advanced mathematics. Students design, budget, build, and test spaghetti bridges using ratios, proportions, cost-efficiency metrics, quadratic modeling, and catenary curves.

A focused lesson on finding the Least Common Denominator (LCD) for rational expressions involving binomials and trinomials, emphasizing factoring techniques.

A comprehensive lesson covering probability rules, counting principles, discrete random variables, and empirical distributions. Includes a condensed reference sheet and a practice review worksheet.

A comprehensive assessment covering rational expressions, functions, variation, and arithmetic/geometric sequences and series.

A focused study on applying the Fundamental Theorem of Calculus to evaluate functions defined by integrals. Students will practice finding specific values by integrating and evaluating at given boundaries.

A comprehensive final exam for Spring 2026 covering logarithms, trigonometry of triangles, and sequences and series for a Precalculus course.

A comprehensive assessment covering normal distributions, the Empirical Rule, z-scores, and sampling distributions. This lesson combines conceptual understanding with complex statistical calculations.

A summative assessment lesson focusing on visual foundations, probability calculations, and the application of the Central Limit Theorem to sampling distributions.

A comprehensive lesson covering the properties of normal distributions, the empirical rule, and z-score calculations through various real-world scenarios.

A focused lesson on the Central Limit Theorem (CLT) and its application to real-world datasets. Students practice calculating Z-scores for sample means and using Z-tables to determine probabilities.

A lesson focused on fundamental statistical concepts including sampling distributions and the visual representation of data using histograms.

A concise lesson reviewing advanced statistical concepts including population parameters, sample statistics, and the behavior of sampling distributions.