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.
A targeted intervention sequence for 6th-grade students to master the construction and interpretation of dot plots, histograms, and box plots through hands-on data collection and analysis.
A comprehensive math intervention sequence for 6th-grade students, focusing on four key domains: Numbers & Operations, Algebraic Thinking, Measurement & Data, and Geometry. This sequence uses high-leverage strategies from the All Learners Network (ALN) and aligns with i-Ready prerequisite modules to bridge conceptual gaps.
Students act as data analysts for a tech company to decide between two suppliers. They learn that averages don't tell the whole story, using Mean Absolute Deviation (MAD) and Interquartile Range (IQR) to assess risk and consistency in real-world decision making.
A project-based unit where students act as lead researchers, designing and executing a statistical study from question formulation to final validity reporting. Students learn to navigate population definitions, sampling methods, and question bias to ensure their data accurately reflects reality.
A 5-lesson sequence for 6th-grade students focused on using measures of variability (Range, IQR, MAD) to compare populations and make evidence-based arguments. Students transition from calculation to analysis using real-world case studies in sports, meteorology, and consumer products.
A project-based unit where 6th-grade students act as researchers, conducting a full statistical investigation from question formulation to final presentation. Students identify a topic, collect peer data, and analyze variability to answer their own statistical questions.
A comprehensive unit for 6th-grade students on statistical variability, focusing on quartiles, Interquartile Range (IQR), and the construction and interpretation of box plots. Students move from basic median splitting to complex data visualization and comparison.
This inquiry-based sequence introduces 6th grade students to statistical variability, starting with distinguishing question types and progressing to visualizing data on dot plots and quantifying spread using range.
An inquiry-based exploration of statistical variability, focusing on how data spread reveals truths about inequality, climate instability, and diversity that averages often hide. Students transition from visual distribution analysis to quantifying disparity using IQR and MAD, culminating in an independent investigation.
A comprehensive sequence on statistical variability focusing on quartiles, IQR, and box plots. Students move from raw data partitioning to visual representation and advanced outlier detection, culminating in the interpretation of distribution shapes and skewness.
This sequence explores statistical variability through the lens of robust measures like IQR and box plots. Students move from basic understanding of spread to complex comparative analysis, focusing on how variability impacts the reliability of data-driven conclusions.
A comprehensive sequence on statistical variability focusing on Mean Absolute Deviation (MAD). Students progress from conceptual understanding of spread to algorithmic calculation and comparative analysis of data distributions.
This sequence guides 6th-grade students through the conceptual and procedural steps of calculating and interpreting Mean Absolute Deviation (MAD). Students move from understanding mean as a balance point to visualizing deviation as distance, eventually mastering the multi-step calculation and applying it to evaluate data consistency in real-world contexts.
