
IB Math AI SL 4.2 – Presentation of Data
This lesson develops students’ ability to represent, interpret, and analyze data visually through frequency tables, histograms, cumulative frequency graphs, and box-and-whisker plots. Students learn how to organize raw data into grouped frequency distributions and understand the relationship between class intervals and cumulative totals.
The lesson emphasizes how to interpret shapes and features of different graphs to find key statistical measures such as the median, quartiles, percentiles, range, and interquartile range. Through visual examples like student age distributions, learners explore how cumulative frequency graphs display data progression and how box plots reveal data spread and skewness.
Practical exercises guide students in drawing histograms with equal class widths, constructing cumulative frequency diagrams with smooth “S”-shaped curves, and using these tools to determine measures of central tendency and variability.
By the end of the lesson, students can accurately construct and interpret multiple forms of data presentation, identify distribution characteristics, and compare datasets effectively. This slide deck aligns with IB Math AI SL Topic 4.2 – Presentation of Data, providing a visual, hands-on foundation for more advanced statistical analysis.
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