Data representation, distributions, and statistical variability using sampling and inference techniques. Integrates probability models, compound events, bivariate patterns, and linear models to guide data-driven decision making.
Week 7 analyzes bivariate data through scatter plots, interpreting lines of best fit, and using linear models to make predictions.
Week 6 focuses on rigid transformations (translations, reflections, rotations) and similarity transformations (dilations).
Week 5 reviews the Pythagorean Theorem and volume formulas for cylinders, cones, and spheres.
Week 4 explores integer exponent rules, perfect squares and cubes, and distinguishing between rational and irrational numbers.
Week 3 defines, evaluates, and compares functions represented in different ways (tables, graphs, equations).
Week 2 covers proportional relationships, unit rates, and the slope-intercept form of linear equations.
Week 1 focuses on solving multi-step equations, including those with variables on both sides, rational coefficients, and checking solutions.
A comprehensive 90-minute lesson where students become 'Data Detectives' to investigate how outliers influence measures of center and variability, culminating in a collaborative poster session.
A comprehensive 90-minute lesson where students investigate data spread by calculating Mean Absolute Deviation (MAD) and Interquartile Range (IQR) through a "Stat Squad" forensic lens.
A specialized toolkit for navigating mathematical skills in the 211-220 RIT range, with a focus on foundational decimals, fractions, and place value relationships.
A comprehensive guide for parents and students to navigate the mathematical skills expected in the 221-230 NWEA MAP RIT range, featuring actionable checklists and home-based practice ideas.
Students learn to plot bivariate data, identify trends, and spot outliers using a real-world scenario of sleep and mood.
A comprehensive lesson on measures of center (mean, median, mode) where students learn to summarize numerical data and find missing values using time, temperature, and group size data.
A comprehensive lesson on calculating and interpreting mean, median, mode, and range using real-world shopping and pricing data. Students will analyze price lists for various items to master basic statistics.
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 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 comprehensive lesson on identifying and analyzing outliers within scatter plots using a 'Data Detective' theme. Students will learn to spot anomalous data points and understand their impact on trends.
