Box Plots and Outliers
Students will construct and interpret box plots, identifying quartiles and potential outliers.
Key Questions
- Interpret the five-number summary represented in a box plot.
- Differentiate between a box plot and a histogram in terms of information conveyed.
- Justify the method for identifying outliers using the IQR.
Ontario Curriculum Expectations
Suggested Methodologies
Ready to teach this topic?
Generate a complete, classroom-ready active learning mission in seconds.
Planning templates for Mathematics
5E Model
The 5E Model structures lessons through five phases (Engage, Explore, Explain, Elaborate, and Evaluate), guiding students from curiosity to deep understanding through inquiry-based learning.
unit plannerMath Unit
Plan a multi-week math unit with conceptual coherence: from building number sense and procedural fluency to applying skills in context and developing mathematical reasoning across a connected sequence of lessons.
rubricMath Rubric
Build a math rubric that assesses problem-solving, mathematical reasoning, and communication alongside procedural accuracy, giving students feedback on how they think, not just whether they got the right answer.
More in Data, Probability, and Decision Making
Data Collection Methods
Students will explore different methods of data collection, including surveys, observations, and experiments.
2 methodologies
Sampling Techniques and Bias
Students will identify different sampling techniques and recognize potential sources of bias in data collection.
2 methodologies
Measures of Central Tendency
Students will calculate and interpret mean, median, and mode for various data sets.
2 methodologies
Measures of Spread
Students will calculate and interpret range, interquartile range (IQR), and standard deviation (introduction) to describe data variability.
2 methodologies
Frequency Distributions and Histograms
Students will construct and interpret frequency tables and histograms for numerical data.
2 methodologies