Range and Quartiles

In this article we shall explore range and quartiles. Below is a quick summary of what is covered in this article.

Summary

  • Range of set of data is the difference between the highest and the lowest value in the set of data or observations.
  • Quartiles, Q1, Q2, Q3, Q4 split the data into four parts
  • For discreete data to find the lower quartile Q1, divide n by 4. To calculate the upper quartile Q3 divide n by 4 and multiply 3. When the result is a whole number find the mid-point of the corresponding term and the term above. When the result is not a whole number round the number up and pick the corresponding term.
  • For continuous data find the lower quartile Q1, divide n by 4 and to find the upper quartile Q3 divide n by 4 and multiply 3 and then use interpolation to find the value of the corresponding term.
  • The interquartile range is the upper quartile Q3 – lower quartile Q1

Range

To find the range of a set of data we simply find the difference between the highest and lowest value.

Range = highest value – lowest value

Quartiles

Data can be split into 4 parts Q1, Q2, Q3 as shown in the figure below;
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25% of the observations should have a value less than the lower quartile Q1, 50% of the observations should have a value below the median Q2 and 75% of the observations should have a value below the upper quartile Q1

There are many ways of finding the quartiles which may all provide different results. In this article we shall divide the number of observations n by 4 and use interpolation to find the corresponding value.

To calculate the upper quartile Q3, we shall divide the number of observations by 4 and multiply by three and then use interpolation to find the value in the position.

Interquatile = Upper quartile – lower quartile
Example Find the range and interquartile range of the following set of data.
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Answer Before we find the range and interquartile we musy put the list in ascending order.
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Range

Range = highest value – lowest value

Range = 16 – 2 = 14

Interquartile

To find the interquartile we must find the lower and upper quartile first. We know that;
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…where n is the number of observations.

In the question there are 11 observations, therefore;

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…so we must round up which gives 4. The lower bound Q1 is therefore the third term when the numbers are put in ascending order.
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Next we must find the upper quartile.
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…where n is the number of observations.

There are 11 observations in the question

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Rounding up 8.25 gives 9. The upper quartile Q3 is therefore the ninth value when the numbers are put in ascending order.
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The interquartile is the difference between the upper and lower quartile;
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Example
Simon records the number of music CDs in the collection of students in her year. The results are shown in the table;
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Find the interquartile.

Answer
We must first calculate the cumulative frequency.
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Lower quartile

We can now use the culative frequency to find the lower quartile.
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Therefore the lower quartile Q1 is the 25th term which is 27.
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Upper quartile

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The upper quartile is the 75th term which is equal to 28.
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Interquartile

Therefore the interquartile;
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Example
The length of time (to the nearest minutes) spent on the internet each evening by a group of students is shown in the table below. Calculate interquartile range.
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Answer

Notice that this is grouped data we therefore won’t be rounding up.

Lower quartile

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To find the value of the lower quartile we must use interpolation
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Upper quartile

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We must use interpolation
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Interquartile range

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