π― Why Study Measures of Dispersion?
Averages tell only half the story.
Two data sets may have the same mean but wildly different spread. Thatβs why understanding dispersion β how data varies β is essential for interpreting data accurately.
Whether youβre taking IB Math, A Level Statistics, or AP Stats, these tools will help you analyze data more meaningfully.
π§ Learning Objectives
By the end of this post, youβll:
- 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
π¦ 1. What Are Measures of Dispersion?
These are statistical tools used to describe the spread or variability in a dataset.
Measure | Description |
---|---|
Range | Difference between highest and lowest values |
IQR | Range of the middle 50% of the data |
Variance | Average of squared differences from the mean |
Standard Deviation | Square root of the variance |
πΉ 2. Range β The Simplest Measure
Formula: Range=MaximumβMinimum\text{Range} = \text{Maximum} – \text{Minimum}Range=MaximumβMinimum
π Example:
Data: 12, 15, 18, 22, 25
Range = 25 β 12 = 13
β
Quick and easy
β Very sensitive to outliers
πΉ 3. Interquartile Range (IQR)
The IQR shows the range of the middle 50% of values β itβs not affected by extreme values, which makes it more robust than the range.
Formula: IQR=Q3βQ1\text{IQR} = Q_3 – Q_1IQR=Q3ββQ1β
Where:
- Q1Q_1Q1β = 25th percentile
- Q3Q_3Q3β = 75th percentile
π Example:
Data: 10, 12, 15, 18, 20, 25, 30
Q1 = 12, Q3 = 25 β IQR = 25 β 12 = 13
β
Best for skewed data or box plots
β
Used heavily in IB, AP, and A Level visual analysis
πΉ 4. Variance β Squared Spread
Variance is the mean of the squared deviations from the mean.
Formula (for sample): s2=1nβ1β(xiβxΛ)2s^2 = \frac{1}{n-1} \sum (x_i – \bar{x})^2s2=nβ11ββ(xiββxΛ)2
Where:
- xix_ixiβ = each data point
- xΛ\bar{x}xΛ = mean
- nnn = number of data points
This gives a sense of how βspread outβ the values are from the mean β in squared units.
πΉ 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=1nβ1β(xiβxΛ)2s = \sqrt{ \frac{1}{n – 1} \sum (x_i – \bar{x})^2 }s=nβ11ββ(xiββxΛ)2β
π Example:
Data: 2, 4, 6, 8
Mean = 5
Squared deviations: (9, 1, 1, 9) β variance = 20/3
SD = β(20/3) β 2.58
β
Widely used in statistics, probability, and data science
β
Interpreted in real units, unlike variance
π Visual Comparison
(Insert a visual showing two data sets with same mean, different spreads β normal curves or dot plots)
π§© 6. Which Measure Should You Use?
Scenario | Best Measure |
---|---|
Rough estimate | Range |
Boxplots or skewed data | IQR |
In-depth analysis | SD or variance |
Normal distribution | SD (essential) |
π‘ Real-Life Example
Two classes both scored a mean of 70 on a test.
- Class A: All students scored between 68β72 β low SD
- Class B: Scores ranged from 40 to 100 β high SD
Even with the same mean, Class Bβs performance is more inconsistent β thatβs what SD tells us.
π 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
π Practice Problem
Question:
Data: 10, 15, 15, 20, 25, 30
Find:
- Range
- IQR
- Mean
- Standard Deviation (using calculator)
β Try this yourself or book a session for detailed walkthroughs.
π Ready to Master Statistics with Confidence?
π‘ Struggling with topics like standard deviation, boxplots, or deeper statistical reasoning?
π 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.
π Visit: www.mathematicselevateacademy.com
π© Or DM me directly on LinkedIn: linkedin.com/in/rishabh-kumar-iitg-isi
π― Aiming for Ivy League or Oxbridge?
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
- Rigorous problem-solving
- Deep understanding of mathematical concepts
- Exam-focused practice and study materials
πͺͺ Math by Rishabh
π Elite Private International Tutor
π Founder, Mathematics Elevate Academy
π Specializing in IB | IGCSE | A Level | AP | SAT | JEE Advanced | Olympiads | University Entrance Exams