AQA GCSE Maths

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(Working With Averages, Ranges & Statistical Data)

Range & Interquartile Range

Range & Interquartile Range

 

What Is the Range?

The range tells us how spread out a set of numbers is. It’s calculated like this:

Range=Largest valueSmallest value\text{Range} = \text{Largest value} - \text{Smallest value}

Example: For the data set {2, 4, 6, 10}, the range is: 102=810 - 2 = 8

Watch out for negative numbers: If the set is {-3, 0, 4, 6}, the range is: 6(3)=96 - (-3) = 9

 

Tuity Tip

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Avoid choosing range as your go-to measure of spread if you see an obvious outlier—extreme values can make the range misleading

What Are Quartiles?

Quartiles break an ordered data set into four equal parts:

Lower Quartile (Q1): One-quarter (25%) of values lie below this point

Median (Q2): The middle value of the data set (also known as the second quartile)

Upper Quartile (Q3): Three-quarters (75%) of values lie below this point

 

How Do I Find Quartiles?

Step-by-step:

  1. Put the data in order
  2. Find the median – this is Q2
  3. Split the list into lower and upper halves
    • If there is an even number of values: split evenly
    • If there is an odd number of values: exclude the median from both halves
  4. Find the median of the lower half (Q1) and upper half (Q3)

 

Tuity Tip

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Remember, the quartiles are just medians of smaller groups. Break the data into chunks, then go median hunting again

What Is the Interquartile Range (IQR)?

The IQR shows how spread out the middle 50% of the data is:

IQR=Q3Q1\text{IQR} = Q3 - Q1

The IQR is not affected by outliers.

It’s more robust than the range when the data has extremes.

 

Example 1: Finding the Range

Data set:

3.4, 4.2, 2.8, 3.6, 9.2, 3.1, 2.9, 3.4, 3.2, 3.5, 3.7, 3.6, 3.2, 3.1, 2.9, 4.1, 3.6, 3.8, 3.4, 3.2, 4.0, 3.7, 3.6, 2.8, 3.9, 3.1, 3.0

Highest = 9.2

Lowest = 2.8

Range=9.22.8=6.4\text{Range} = 9.2 - 2.8 = 6.4

Range = 6.4

 

Example 2: Finding Quartiles & IQR

Data set:

31, 32, 35, 35, 36, 37, 39, 40, 42, 45,
46, 48, 49, 50, 51, 51, 53, 54, 57, 60

  • Total values: 20
  • Lower half: first 10 values \to Q1 = median of (36, 37) Q1=36.5\to Q1 = 36.5
  • Upper half: last 10 values \to Q3 = median of (51, 51) Q3=51\to Q3 = 51

Now calculate IQR:

IQR=5136.5=14.5\text{IQR} = 51 - 36.5 = 14.5

 

Tuity Tip

Hover me!

The IQR focuses on the middle section of your data. That means it's great for comparing variation without being thrown off by really large or really small numbers.

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