πŸ“Š Understanding Range, IQR, Variance & Standard Deviation for IB, A Level & AP Math

🎯 Why Study Measures of Dispersion?

Averages tell only half the story.

Two data sets may have the same mean but wildly different spread. That’s why understanding dispersion β€” how data varies β€” is essential for interpreting data accurately.

Whether you’re taking IB Math, A Level Statistics, or AP Stats, these tools will help you analyze data more meaningfully.


🧠 Learning Objectives

By the end of this post, you’ll:

  • Understand and calculate the range, interquartile range (IQR), variance, and standard deviation
  • Know which measure is most appropriate in different contexts
  • Learn how examiners expect you to apply these concepts
  • See how dispersion links to boxplots, histograms, and normal distributions

πŸ“¦ 1. What Are Measures of Dispersion?

These are statistical tools used to describe the spread or variability in a dataset.

MeasureDescription
RangeDifference between highest and lowest values
IQRRange of the middle 50% of the data
VarianceAverage of squared differences from the mean
Standard DeviationSquare root of the variance

πŸ”Ή 2. Range β€” The Simplest Measure

Formula: Range=Maximumβˆ’Minimum\text{Range} = \text{Maximum} – \text{Minimum}Range=Maximumβˆ’Minimum

πŸ“Œ Example:

Data: 12, 15, 18, 22, 25
Range = 25 βˆ’ 12 = 13

βœ… Quick and easy
❌ Very sensitive to outliers


πŸ”Ή 3. Interquartile Range (IQR)

The IQR shows the range of the middle 50% of values β€” it’s not affected by extreme values, which makes it more robust than the range.

Formula: IQR=Q3βˆ’Q1\text{IQR} = Q_3 – Q_1IQR=Q3β€‹βˆ’Q1​

Where:

  • Q1Q_1Q1​ = 25th percentile
  • Q3Q_3Q3​ = 75th percentile

πŸ“Œ Example:

Data: 10, 12, 15, 18, 20, 25, 30
Q1 = 12, Q3 = 25 β†’ IQR = 25 βˆ’ 12 = 13

βœ… Best for skewed data or box plots
βœ… Used heavily in IB, AP, and A Level visual analysis


πŸ”Ή 4. Variance β€” Squared Spread

Variance is the mean of the squared deviations from the mean.

Formula (for sample): s2=1nβˆ’1βˆ‘(xiβˆ’xΛ‰)2s^2 = \frac{1}{n-1} \sum (x_i – \bar{x})^2s2=nβˆ’11β€‹βˆ‘(xiβ€‹βˆ’xΛ‰)2

Where:

  • xix_ixi​ = each data point
  • xΛ‰\bar{x}xΛ‰ = mean
  • nnn = number of data points

This gives a sense of how β€œspread out” the values are from the mean β€” in squared units.


πŸ”Ή 5. Standard Deviation β€” The Star Player

Standard deviation (SD or sss) is the square root of the variance, and the most commonly used measure of spread.

Formula: s=1nβˆ’1βˆ‘(xiβˆ’xΛ‰)2s = \sqrt{ \frac{1}{n – 1} \sum (x_i – \bar{x})^2 }s=nβˆ’11β€‹βˆ‘(xiβ€‹βˆ’xΛ‰)2​

πŸ“Œ Example:

Data: 2, 4, 6, 8
Mean = 5
Squared deviations: (9, 1, 1, 9) β†’ variance = 20/3
SD = √(20/3) β‰ˆ 2.58

βœ… Widely used in statistics, probability, and data science
βœ… Interpreted in real units, unlike variance


πŸ“Š Visual Comparison

(Insert a visual showing two data sets with same mean, different spreads β€” normal curves or dot plots)


🧩 6. Which Measure Should You Use?

ScenarioBest Measure
Rough estimateRange
Boxplots or skewed dataIQR
In-depth analysisSD or variance
Normal distributionSD (essential)

πŸ’‘ Real-Life Example

Two classes both scored a mean of 70 on a test.

  • Class A: All students scored between 68–72 β†’ low SD
  • Class B: Scores ranged from 40 to 100 β†’ high SD

Even with the same mean, Class B’s performance is more inconsistent β€” that’s what SD tells us.


πŸ“š Exam Relevance

  • IB Math AA/AI HL: Box plots, comparing dispersion, calculating SD with GDC, interpreting variability
  • A Level S1: Full manual calculation of variance & SD from raw/grouped data, comparison of spread
  • AP Stats: Using technology to compute SD, comparing distributions, discussing variability

πŸ“ Practice Problem

Question:
Data: 10, 15, 15, 20, 25, 30
Find:

  • Range
  • IQR
  • Mean
  • Standard Deviation (using calculator)

βœ… Try this yourself or book a session for detailed walkthroughs.

πŸ”” Ready to Master Statistics with Confidence?

πŸ’‘ Struggling with topics like standard deviation, boxplots, or deeper statistical reasoning?

πŸŽ“ Book a personalized 1-on-1 session with me β€” Rishabh Kumar,
Elite Private International Tutor and Founder of Mathematics Elevate Academy.

I specialize in helping IB, A Level, IGCSE, AP, and global students build deep conceptual clarity, boost exam scores, and approach mathematics with confidence β€” one topic at a time.

πŸ“ Visit: www.mathematicselevateacademy.com
πŸ“© Or DM me directly on LinkedIn: linkedin.com/in/rishabh-kumar-iitg-isi


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Preparing for MAT, STEP, TMUA, AEA, or any advanced university entrance exam?

Join Math by Rishabh for personalized, high-quality math lessons with:

  • Structured study plans
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  • Exam-focused practice and study materials

πŸͺͺ Math by Rishabh
πŸŽ“ Elite Private International Tutor
🌍 Founder, Mathematics Elevate Academy
πŸ“š Specializing in IB | IGCSE | A Level | AP | SAT | JEE Advanced | Olympiads | University Entrance Exams

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