Description
Give your students a complete set of assessment‑ready, practice‑rich tools for Unit 4.2. This bundle spans quick checks, full quizzes, hands‑on projects, and scaffolded practice so you can teach, rehearse, and assess the full “Presentation of Data” sequence—including cumulative frequency graphs—with zero guesswork and clear answer keys (included).
Why teachers love this set
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Truly ready to use: Each project and quiz comes with step‑by‑step teacher directions, built‑in workflows (groups of 3, timed work, peer‑grading with answer keys, reflection), and clearly stated student deliverables.
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Flexible formats: Mix-and-match projects, quizzes, and practice to fit warm‑ups, stations, full‑period assessments, or IA skill‑building days.
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Fast grading: Every item is designed for clear marking; cumulative‑frequency and interpolation tasks are structured for consistent scoring—and answer keys are included for all resources. (Keys are part of the product even if not shown here.)
How this helps students with the IB exam and IA
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Exam alignment: Students practice the exact moves they’ll need on Papers 1 & 2—choosing the right graph, constructing/reading ogives, estimating median, quartiles, IQR, and percentiles, and interpreting context.
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IA‑friendly skills: Projects require real‑data grouping, table creation, comparative reasoning, and written interpretation—precisely the habits that transfer to the Internal Assessment.
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Concept + method together: Students justify graph choice (bar vs. histogram), distinguish discrete vs. continuous data, compute outlier bounds, and explain sampling bias—all core to IB statistical rigor.
What’s included (print‑ready + keys)
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Quiz #1: Data Collection & Presentation (4.1–4.2.1)
Sampling methods, discrete vs. continuous, graph selection, box‑and‑whisker with IQR and outlier bounds, plus scenario‑based frequency tables and histogram prompts. -
Practice Set: 4.1 & 4.2
Definitions (population, sample, bias), method ID, discrete/continuous, center & spread (incl. SD), bar vs. histogram reasoning, grouped‑data histograms, box plots, and a mixed application comparing two classes’ statistics. -
Project 1 (4.1 & 4.2.1)
Five real‑world scenarios (homework minutes, apps, sleep, social media time, texts). Students identify sampling method/bias, complete grouped tables, draw bar/hist & box plots, and reflect; includes peer‑grading flow with keys. -
Classroom Project (4.1–4.2.3)
New contexts (heart rates after sprint, commute times, free‑throw accuracy). Students build frequency + cumulative frequency tables and ogives, then compare IQR from box plot vs. ogive and answer percentile/median questions. -
Cumulative Frequency Graphs – Quiz (4.2.3)
Multi‑part ogive interpretation: total count, modal class, median/IQR from graph, and connecting CF graphs to histograms (including bar height reasoning). -
Cumulative Frequency Practice (4.2.3)
Build a CF table/ogive from heights data, then answer “taller than…,” “between…,” percentile, and median via linear interpolation; worked answers show method transparently. -
Grouped Data & Cumulative Frequency Project (4.2)
Five additional scenarios (ride times, shoe sizes, reaction times, screen time, bottle volumes): choose class intervals, produce frequency + cumulative frequency tables, draw ogives, and estimate median/IQR from the graph.
Answer Keys: Complete keys are included for every resource in this bundle (even if not shown here due to upload limits).
What’s covered (Unit 4.2 expectations)
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4.2.1 Presentation of data:
Bar graphs vs. histograms; categorical vs. continuous; when to choose each; clean labeling and scale choice. -
4.2.2 Grouped data (bridge from 4.2.1):
Build grouped frequency tables from raw data; prepare for histogram/ogive work (used throughout the projects and practice). -
4.2.3 Cumulative frequency (ogives):
Create cumulative tables and graphs; estimate median, Q1, Q3, IQR, and percentiles by interpolation; relate ogives to histograms and modal class.
How to use
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Launch with the Practice Set to check fundamentals and language. 2) Use Quiz #1 for a quick, targeted assessment. 3) Run one of the Projects for deeper data‑handling and IA‑style interpretation (group workflow and peer‑grading included). 4) Finish with the Cumulative Frequency quiz & practice for exam‑style ogive mastery.





















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