New
New
Year 10
AQA
Using statistical data in geography
I can use some simple statistics to better understand the values in a set of data.
New
New
Year 10
AQA
Using statistical data in geography
I can use some simple statistics to better understand the values in a set of data.
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Lesson details
Key learning points
- Univariate data can be statistically analysed using measures of central tendancy.
- Data can also be statistically analysed by thinking about proportions and how these change.
- The spread of data points across a range of values can be statistically analysed using percentiles.
Keywords
Univariate data - data that represents values against one variable
Frequency data - data values in a category that show the actual count of something within the data set
Percentile - the number of values within a data set that fall below a certain percentage of the total number of values
Common misconception
It is better to use the mean value rather than the mode or the median values.
The mean, median and mode have different purposes but none of the methods produce a result that is thought of as more reliable than the others.
For students who lack confidence in maths, a variety of statistical calculators are available online. These can be used to check workings and show the stages of calculations.
Teacher tip
Equipment
Calculator
Licence
This content is © Oak National Academy Limited (2025), licensed on
Open Government Licence version 3.0
except where otherwise stated. See Oak's terms & conditions (Collection 2).Lesson video
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Starter quiz
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6 Questions
Q1.
What is bivariate data?
Data that contains both positive and negative values.
Data that can be interpreted more than one way.
Data that has more than two variables within it.
Q2.
Which of the following is a disadvantage of summarising data?
The whole data set has to be commented on rather than just one part of it.
It ignores the overall trends and relationships within the data.
It can take a long time to statistically analyse all of the data.
Q3.
Why might a large data set, or sample, be better than a smaller one?
It means there are fewer anomalies.
A larger data set creates more interesting patterns in the data.
A small sample is quicker and easier to analyse.
Q4.
Which of these data presentation methods shows proportions of data?
scattergraph
bar chart
histogram
Q5.
The maximum percentage value possible is ...
Q6.
A percentage increase means the new value is ...
less than the original value.
the same as the original value.
always half the original value.
Exit quiz
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4 Questions
Q1.
Which term refers to the most common value in a data set?
median
mean
magnitude
Q2.
Which of the following statements are true?
Calculating the mode is the best way to summarise a data set.
Calculating the median is the best way to summarise a data set.
Calculating the mean is the best way to summarise a data set.
Q3.
The number of values that fall below a certain percent of the total number of values is called a ...
Q4.
If one data set has a larger interquartile range than another this means that ...
the data is more clustered within the data set.
The minimum and maximum values in the data set are further apart.
The lower quartile is greater than the upper quartile.
Additional material
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