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Statistical skills
Apply statistical techniques to geographical data and identify weaknesses in selective statistical presentation.
10
Objectives
50
Flashcards
50
Questions
90 min
Study time
AQAGCSEGeographyGeographical skills
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Syllabus checklist
What you need to know
10 objective pages available
Statistical skills10 objectives
- Use appropriate measures of central tendency including median, mean, mode and modal class.
- Use appropriate measures of spread including range, quartiles and inter-quartile range.
- Use cumulative frequency where appropriate.
- Calculate percentage increase and percentage decrease.
- Understand the use of percentiles.
- Describe relationships in bivariate data.
- Sketch trend lines through scatter plots.
- Draw estimated lines of best fit and use them to make predictions.
- Interpolate and extrapolate trends.
- Identify weaknesses in selective statistical presentation of data.
Key terms
meanmedianrangeinter-quartile rangecumulative frequencyfrequency distributionpercentage increasepercentage decreasepercentilebivariate datarelationshiptrend line
Exam tips
- Master Measures of Central Tendency: Use practice calculating the mean, median, and mode from various datasets to become familiar with each measure's strengths and weaknesses and link your answer to Statistical skills in Statistical skills, using accurate Geography evidence or terminology for mean.
- Check the Data Scale First: Before calculating any spread measure, confirm the data are on a continuous scale and not grouped into large class intervals. If the data are grouped, use the class midpoints to estimate quartiles and the inter‑quartile range accurately.
Common mistakes
- Confusing Mean and Median: To fix this, remember that the mean is the average of all values, while the median is the middle value when data is ordered.
- Confusing Range and Inter-Quartile Range: Remember that the range is the difference between the highest and lowest values, while the inter-quartile range is the difference between the first and third quartiles, representing the middle 50% of the data.
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