A focused lesson on the binomial distribution, covering the BINS criteria, identifying parameters, and calculating probabilities using digital spreadsheet tools.

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

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.

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

Review of symmetry concepts followed by a final challenge activity and a short assessment.

Identifying symmetry in everyday objects and nature, such as butterflies, leaves, and common household items.

Exploring symmetry in geometric shapes like squares, circles, and triangles, focusing on matching halves.

Introduction to the concept of symmetry and the 'line of symmetry' using mirror images and simple shapes.

Une leçon complète sur les statistiques à une variable, couvrant la collecte de données, l'organisation en tableaux et la représentation graphique à travers divers exercices pratiques et activités d'introduction.

A comprehensive lesson covering geometric transformations (translations, reflections, rotations, and dilations) and the fundamentals of geometric proofs, including logical reasoning and triangle congruence.

A comprehensive review of exponential and logarithmic functions, focusing on graphing attributes, transformations, inverse relationships, solving equations, and data modeling based on Texas Algebra 2 standards.

A quick assessment focusing on solving quadratic equations that result in complex solutions using the Quadratic Formula and Completing the Square.

A lesson focusing on the practical application of the Distance Formula and the logical structure of SAS and ASA congruence proofs.

A comprehensive 35-minute lesson on graphing quadratic functions in standard form, covering vertex, axis of symmetry, end behavior, and zeros.

A lesson focused on the product and quotient properties of logarithms, specifically adding and subtracting logs. Designed with heavy scaffolding for a math resource setting.

This lesson introduces exponential growth and decay functions, focusing on modeling real-life situations, identifying growth and decay factors, and analyzing key attributes of exponential models. Students will transition from Algebra 1 foundations to advanced Algebra 2 applications using the standard model \(y = ab^x\).

Summative assessment covering intercepts, vertex, AOS, and solving quadratic equations using various methods.

Comprehensive review of unit targets including graphing features and all solving methods.

Synthesizing solving methods (graphing, factoring, formula) and choosing the most efficient strategy for different quadratic forms.

Using the quadratic formula to solve equations and the discriminant to determine the nature of the roots.

Solving quadratic equations by factoring and identifying x-intercepts using the Zero Product Property.

Finding the vertex, axis of symmetry, and intercepts of quadratic functions from standard form equations and graphs.

A high-speed reconnaissance of basic function families, including linear, quadratic, cubic, quartic, absolute value, and radical parent functions.

A comprehensive review of percentages for HSED learners, covering conversions, visual models, and real-world applications like tipping and discounts.

A high-energy collaborative review day. Students participate in a 'Relay Race' of unit rate tasks, moving through stations that cover whole numbers, fractions, consumer math, and measurement to reinforce skills before the final assessment.

A summative assessment covering the identification of graph features and solving quadratic equations using multiple methods.

A comprehensive review of all three methods (graphing, factoring, formula) and identifying key features to prepare for the unit assessment.

Students use the quadratic formula to solve equations that are not easily factorable, with an emphasis on identifying coefficients and simplifying the result.

Students learn to solve quadratic equations by factoring trinomials and using the Zero Product Property, focusing on real roots and equations in standard form.

Students explore the quadratic parent function, identify key features of parabolas (vertex, axis of symmetry, zeros), and learn to graph by plotting points.

A comprehensive lesson on core parent functions for Algebra 2, focusing on identification, key features, and visual recognition using a blueprint theme.

The final day of the unit focuses on students presenting their career research and budget projections to the class, demonstrating their oral communication and technological skills.

Students research a career path, including educational requirements and starting salaries, to build a realistic monthly budget. This lesson includes the summative assessment covering unit concepts.

Students transition from tracking spending to creating forward-looking budget sheets. They practice comparing budgeted amounts to actual expenditures and calculating variances.

Students learn to calculate average monthly expenditures by analyzing spending patterns and categorizing costs. This lesson establishes the foundation for accurate budgeting by looking at historical data.

A project-based lesson on performing linear regression analysis using United Nations population and surface area data to test socio-economic theories.