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International Baccalaureate Mathematics

Statistics and Probability

Syllabus Content

Measures of central tendency (mean, median and mode). Estimation of mean from grouped data. Modal class. Measures of dispersion (interquartile range, standard deviation and variance). Effect of constant changes on the original data. Quartiles of discrete data

Here are some specific activities, investigations or visual aids we have picked out. Click anywhere in the grey area to access the resource.

Here are some exam-style questions on this statement:

See all these questions

Click on a topic below for suggested lesson Starters, resources and activities from Transum.


This Bicen Maths video clip shows everything you need to memorise on Measures of Spread for A Level Maths.

If you use a TI-Nspire GDC there are instructions for calculating statistics from a list which is useful for this topic.

Official Guidance, clarification and syllabus links:

Calculation of mean using formula and technology.

Students should use mid-interval values to estimate the mean of grouped data.

Modal class for equal class intervals only.

Calculation of standard deviation and variance of the sample using only technology, however hand calculations may enhance understanding.

Variance is the square of the standard deviation.


If three is subtracted from the data items, then the mean is decreased by three, but the standard deviation is unchanged.

If all the data items are doubled, the mean is doubled and the standard deviation is also doubled.

Using technology. Awareness that different methods for finding quartiles exist and therefore the values obtained using technology and by hand may differ.

Formula Booklet:

Mean, \(\bar{x}\), of a set of data

\( \bar{x} = \frac{\sum_{i=1}^{k}f_i x_i}{n} \), where \(n = \sum_{i=1}^{k}f_i\)

Some of the key formulae related to central tendency and dispersion:

$$ \text{Population Mean} (\mu) = \frac{\sum_{i=1}^{N} x_i}{N} \\ \text{Sample Mean} (\bar{x}) = \frac{\sum_{i=1}^{n} x_i}{n} \\ \text{Population Variance} (\sigma^2) = \frac{\sum_{i=1}^{N} (x_i - \mu)^2}{N} \\ \text{Sample Variance} (s^2) = \frac{\sum_{i=1}^{n} (x_i - \bar{x})^2}{n-1} $$

This video on Mean, Standard Deviation and Variance is from Revision Village and is aimed at students taking the IB Maths AA SL/HL level courses.

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