ST14: Measures of Central Tendency
Learn how to calculate and interpret mode, median, mean, weighted mean, and geometric mean, and how to choose the most appropriate average for GCSE Statistics.
Measures of Central Tendency
Learn how to calculate and interpret mode, median, mean, weighted mean, and geometric mean, and how to choose the most appropriate average for GCSE Statistics.
Key Fact: The mode is the value that occurs most frequently in a dataset; a dataset can have no mode, one mode (unimodal), or multiple modes (bimodal or multimodal).
Key Fact: The mode is the only average that can be used for qualitative (categorical) data, since it does not require numerical values.
Key Fact: The median is the middle value when all data are arranged in order; for n values, the median position is at (n + 1) ÷ 2.
Key Fact: For an even number of data values, the median is the mean of the two middle values.
Key Fact: The mean (arithmetic mean) = sum of all values ÷ number of values; it uses every data value and is affected by outliers.
Key Fact: The weighted mean multiplies each value by its weight, sums these products, then divides by the sum of the weights: x̄ = Σ(wx) ÷ Σw.
Key Fact: The geometric mean of n values is the nth root of their product: GM = ⁿ√(x₁ × x₂ × … × xₙ); it is used for data that grows multiplicatively such as percentage changes.
Key Fact: For grouped data, the estimated mean uses midpoints of each class interval: estimated mean = Σ(f × midpoint) ÷ Σf.
Key Fact: The mean is affected by extreme values (outliers), whereas the median and mode are not; this is important when choosing which average to use.
Key Fact: Use the median when data is skewed or contains outliers; use the mean when data is roughly symmetric with no extreme values.
Key Fact: Use the mode when data is categorical or when you need the most common value; use the weighted mean when values have different levels of importance.
Key Fact: When comparing distributions, always state which average you are using and justify your choice.
📋 Key Vocabulary and Concepts
For Measures of Central Tendency, you must know:
- Mode: The most frequently occurring value in a dataset; the only average that can be used for categorical data.
- Median: The middle value of an ordered dataset; found at position (n + 1) ÷ 2 for n data values.
- Mean: The sum of all values divided by the number of values; it uses every data point and is affected by outliers.
- Weighted mean: An average where each value is multiplied by its weight before summing, then divided by the total weight: x̄ = Σ(wx) ÷ Σw.
- Geometric mean: The nth root of the product of n values, used for data involving multiplicative growth or percentage changes.
- Estimated mean: The mean calculated from a grouped frequency table using the midpoints of class intervals, giving an approximation rather than the exact value.
❓ Practice Questions
Q: Find the mode, median, and mean of: 3, 5, 5, 7, 10
Q: A student scores 65, 70, and 75 in tests weighted 2, 3, and 5 respectively. Calculate the weighted mean.
Q: An investment grows by 10% in year 1 and 20% in year 2. Why is the geometric mean more appropriate than the arithmetic mean for the average growth rate?
Q: A dataset has values 2, 3, 3, 3, 100. Explain why the median is more appropriate than the mean.
Q: From a grouped frequency table with total frequency 50 and Σ(f × midpoint) = 1200, find the estimated mean.
✅ Answers
- Mode = 5 (appears twice). Median = 5 (middle value of 5 numbers). Mean = (3 + 5 + 5 + 7 + 10) ÷ 5 = 30 ÷ 5 = 6.
- Weighted mean = (2 × 65 + 3 × 70 + 5 × 75) ÷ (2 + 3 + 5) = (130 + 210 + 375) ÷ 10 = 715 ÷ 10 = 71.5.
- Growth is multiplicative, so the geometric mean = √(1.10 × 1.20) = √1.32 ≈ 1.149, giving an average growth rate of about 14.9%. The arithmetic mean (15%) would overestimate the overall growth.
- The outlier 100 pulls the mean to 22.2, which does not represent the data well. The median of 3 better reflects the central value since most data are around 3.
- Estimated mean = 1200 ÷ 50 = 24.
🎯 Exam Tips
- Always show your working when calculating the mean — write out the sum and the division separately so you can gain method marks even if you make an arithmetic error.
- When asked which average to use, consider: Is the data skewed? Are there outliers? Is the data categorical? Then justify your answer.
- For weighted mean questions, clearly show the weights and the calculation Σ(wx) ÷ Σw — do not just write the answer.
- Remember that the mode can be found from a bar chart (tallest bar) and the median from a cumulative frequency curve (at 50% of total frequency).
- When a question asks for the mean from grouped data, always state that it is an estimated mean because you are using midpoints, not the actual values.
📝 Exam Technique
GCSE Statistics Exam Tips — Measures of Central Tendency:
1. For Measures of Central Tendency questions, show every step of your working clearly — method marks count even if the final answer is wrong
2. Check your answer makes sense in context (estimation, units, reasonableness)
3. Use correct mathematical notation and state formulae before substituting values
4. If a Measures of Central Tendency question asks you to 'prove' or 'show', write a logical chain of reasoning with a conclusion line
5. For problem-solving, identify the topic first, then recall the relevant method
1. For Measures of Central Tendency questions, show every step of your working clearly — method marks count even if the final answer is wrong
2. Check your answer makes sense in context (estimation, units, reasonableness)
3. Use correct mathematical notation and state formulae before substituting values
4. If a Measures of Central Tendency question asks you to 'prove' or 'show', write a logical chain of reasoning with a conclusion line
5. For problem-solving, identify the topic first, then recall the relevant method
⚠️ Common Errors
✗ Finding the median by just picking the middle number without ordering the data first ✓ Data must be arranged in ascending order before finding the median; the median position is (n + 1) ÷ 2 for n values.
✗ Using the arithmetic mean for average percentage growth rates ✓ Use the geometric mean for multiplicative data like growth rates; the arithmetic mean overestimates the true average growth.
✗ Calculating the mean of a grouped frequency table using class boundaries instead of midpoints ✓ Use the midpoint of each class interval (average of lower and upper boundaries) to estimate the mean, not the boundary values.
✗ Choosing the mean when the data is heavily skewed or has outliers without justification ✓ If data is skewed or has outliers, the median is usually more representative; the mean is pulled towards the extreme values.
✍️ Model Answer
Full-Mark Response
The table shows the number of siblings for 30 students. Calculate the estimated mean. 0–1: frequency 8, 2–3: frequency 14, 4–5: frequency 6, 6–7: frequency 2
Find midpoints and calculate f × midpoint: Class | Midpoint (m) | f | f × m 0–1 | 0.5 | 8 | 4 2–3 | 2.5 |14 | 35 4–5 | 4.5 | 6 | 27 6–7 | 6.5 | 2 | 13 Total | |30 | 79 Estimated mean = Σ(f × m) ÷ Σf = 79 ÷ 30 = 2.63 (to 2 d.p.) This is an estimate because we have used midpoints rather than the actual data values within each class.
📊 AO Deep Dive
Assessment Objective Analysis
AO1 (Knowledge & Understanding): Demonstrate knowledge and understanding of measures of central tendency, including data collection, presentation and calculation techniques relevant to Edexcel 1ST0 & AQA 8382.
AO2 (Application): Apply knowledge and understanding of measures of central tendency to interpret data, reason statistically and draw conclusions in context.
AO3 (Evaluation): Evaluate statistical methods and conclusions, assessing appropriateness, reliability, validity and bias through the statistical enquiry cycle.
📝 Exam Questions by Topic
- AQA Past Papers - Topic Questions -- AQA
- Edexcel Past Papers - Topic Questions -- Edexcel
- CCEA Past Papers - Topic Questions -- CCEA
🎬 Video Resources
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