D3a — AQA GCSE Statistics
Test yourself on D3a with AQA GCSE practice questions.
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- Calculate different measures of spread:
D3a exam tips
Quick Revision Summary (Key Takeaway)
D3a in AQA GCSE Statistics covers the construction, interpretation and comparison of box plots (box-and-whisker diagrams) to summarise and analyse distributions. You must be able to find the five-figure summary (minimum, lower quartile, median, upper quartile, maximum), draw accurate box plots, and use them to compare data sets in terms of median, interquartile range, range and skewness.
Topic Overview
D3a is part of the AQA GCSE Statistics specification focusing on box plots (box-and-whisker diagrams). This topic teaches you how to summarise a data set using five key values: the minimum, lower quartile, median, upper quartile and maximum. You will learn to construct box plots accurately and interpret them to compare distributions.
Box plots are essential for comparing two or more data sets visually. They show both a measure of average (median) and measures of spread (interquartile range and range), making them powerful tools for analysing real-world data such as test scores, waiting times or product lifetimes. This topic also links to cumulative frequency graphs and quartiles, which are often examined together.
Key Concepts
- →The five-figure summary consists of: minimum value, lower quartile (LQ), median, upper quartile (UQ) and maximum value.
- →The interquartile range (IQR) = UQ - LQ. It measures the spread of the middle 50% of the data and is not affected by extreme values (outliers).
- →To find quartiles, first order the data. For an odd number of values, exclude the median when splitting into halves. For an even number, split into two equal halves.
- →A box plot is drawn on a scale with a box from LQ to UQ, a line inside the box at the median, and whiskers from the box to the minimum and maximum.
- →When comparing box plots, comment on the median (average) and the interquartile range or range (spread/consistency), always in the context of the data.
Examiner Tips
- 💡Always show your method for finding quartiles, especially when the data set is large. This can earn method marks even if you make an arithmetic error.
- 💡When drawing a box plot, use a ruler and ensure the scale is clearly labelled. The box plot should be drawn accurately to scale.
- 💡In comparison questions, use the phrase 'on average' when referring to the median and 'more consistent' or 'more spread out' when referring to the IQR or range. Always relate your answer back to the context.
Common Mistakes
- Students often think the lower quartile is the minimum and the upper quartile is the maximum. Correction: The quartiles divide the data into four equal parts; the minimum and maximum are the extremes, not quartiles.
- Students sometimes forget to order the data before finding quartiles, leading to incorrect values. Correction: Always sort the data in ascending order first.
- When comparing box plots, students may only compare medians and ignore spread. Correction: A full comparison must mention both a measure of average (median) and a measure of spread (IQR or range).
Revision Plan
- 1Day 1: Revise how to find the median, lower quartile and upper quartile from a list of data. Practice with both odd and even numbers of values.
- 2Day 2: Learn the five-figure summary and practice finding it from raw data and from cumulative frequency graphs.
- 3Day 3: Practice drawing box plots accurately on graph paper, ensuring correct scale and labelling.
- 4Day 4: Work through comparison questions. Focus on writing full sentences that compare median and IQR/range in context.
- 5Day 5: Complete past paper questions on box plots. Mark your answers using the mark scheme and note where you lost marks.
Exam Question Types
- 📋Finding the five-figure summary from a list of data or a cumulative frequency graph. Advice: Order the data, find the median, then find the quartiles by splitting the data into halves.
- 📋Drawing a box plot from given summary statistics or raw data. Advice: Use a ruler, label the scale clearly, and ensure the box and whiskers are drawn to scale.
- 📋Comparing two box plots in context. Advice: Compare medians (average) and interquartile ranges (spread/consistency), and always refer back to the context.
- 📋Interpreting box plots to identify outliers or skewness. Advice: Remember that a longer whisker indicates skewness; outliers may be shown as separate points.
Command Word Expectations (AQA)
You must work out a numerical answer, showing clear working. For example, 'Calculate the interquartile range' requires you to subtract LQ from UQ and state the result.
You must describe similarities and differences between two sets of data. For box plots, compare medians and interquartile ranges (or ranges) in context, using comparative language such as 'higher', 'lower', 'more consistent'.
You must construct an accurate diagram using a ruler and a suitable scale. For a box plot, ensure the box, median line and whiskers are correctly positioned and the scale is labelled.
How Students Lose Marks (Examiner Pitfalls)
Step-by-Step Worked Solutions
Question: The number of goals scored by a football team in 11 matches is: 3, 1, 2, 0, 4, 2, 1, 3, 5, 2, 1. (a) Find the five-figure summary. (b) Draw a box plot to represent the data.
- 1.Step 1: Order the data: 0, 1, 1, 1, 2, 2, 2, 3, 3, 4, 5.
- 2.Step 2: Identify the minimum (0) and maximum (5).
- 3.Step 3: Find the median (middle value). There are 11 values, so the median is the 6th value: 2.
- 4.Step 4: Find the lower quartile. The lower half (excluding the median) is 0, 1, 1, 1, 2. The median of these 5 values is the 3rd value: 1.
- 5.Step 5: Find the upper quartile. The upper half is 2, 3, 3, 4, 5. The median is the 3rd value: 3.
- 6.Step 6: Five-figure summary: Minimum = 0, LQ = 1, Median = 2, UQ = 3, Maximum = 5.
- 7.Step 7: Draw a horizontal scale covering 0 to 5. Draw a box from LQ (1) to UQ (3) with a vertical line at the median (2). Draw whiskers from the box to the minimum (0) and maximum (5).
Question: Two box plots show the waiting times (in minutes) at two different GP surgeries. Surgery A: min=5, LQ=10, median=15, UQ=20, max=30. Surgery B: min=8, LQ=12, median=18, UQ=22, max=25. Compare the waiting times at the two surgeries.
- 1.Step 1: Compare medians. Surgery A median = 15, Surgery B median = 18. Surgery B has a higher median waiting time, so on average patients wait longer at Surgery B.
- 2.Step 2: Compare interquartile ranges. Surgery A IQR = 20 - 10 = 10. Surgery B IQR = 22 - 12 = 10. Both have the same IQR, so the middle 50% of waiting times are equally spread.
- 3.Step 3: Compare ranges. Surgery A range = 30 - 5 = 25. Surgery B range = 25 - 8 = 17. Surgery A has a larger range, indicating more variability overall, with some very long waits.
- 4.Step 4: Write a conclusion in context. Surgery B has a higher typical waiting time but is more consistent overall (smaller range). Surgery A has a lower typical wait but occasionally has very long waits.