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S2.4Outliers and cleaning data

Edexcel A level Maths (9MA0) · Statistics › Data presentation and interpretation

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Sample questions

Written for this site in the style of Edexcel exam questions. They are not taken from real past papers.

Question 1Easy5 marks
The marks out of 60 of a random sample of students in a test are listed in order.
28, 31, 32, 34, 36, 37, 38, 39, 40, 45, 53
An outlier is a value that is greater than \(Q_3 + 1.5 \times (Q_3 - Q_1)\) or less than \(Q_1 - 1.5 \times (Q_3 - Q_1)\).
(a) Find the lower quartile and the upper quartile.[2]
(b) Show that there is exactly one outlier, and state its value.[3]
Show the answer and mark scheme
(a) Answer: \(Q_1 = 32, \ Q_3 = 40\)
  • M1 for a correct method for either quartile
  • A1 for both correct
(b) Answer: Limits \(32 - 1.5 \times 8 = 20\) and \(40 + 1.5 \times 8 = 52\); only 53 lies outside them.
  • M1 for either limit: 20 or 52
  • A1 for both limits
  • A1 for identifying 53 as the only outlier
Question 2Medium9 marks
A scientist measures the masses, \(x\) grams, of 20 seedlings. The results are summarised by
\[\sum x = 356, \qquad \sum x^2 = 6532\]A student calculates the standard deviation as follows:
\(\sigma = \sqrt{\frac{\sum x^2}{n}} - \bar{x} = \sqrt{\frac{6532}{20}} - 17.8 = 18.07 - 17.8 = 0.27\) g
(a) Explain the error in the student's method and find the correct standard deviation, giving your answer to 3 significant figures.[3]
(b) An outlier is defined as a value more than 2 standard deviations from the mean.
Show that a seedling of mass 25 g is an outlier.[2]
(c) The scientist removes this seedling from the data. Find the mean and the standard deviation of the remaining 19 masses, giving your answers to 3 significant figures.[3]
(d) Give a reason why the scientist should check this seedling before deciding whether to remove it from the data.[1]
Show the answer and mark scheme
(a) Answer: 3.12 g
  • B1 for the correct formula is \(\sigma = \sqrt{\frac{\sum x^2}{n} - \bar{x}^2}\): the square of the mean must be subtracted inside the square root
  • M1 for \(\sqrt{\frac{6532}{20} - 17.8^2} = \sqrt{326.6 - 316.84}\)
  • A1 for 3.12 (g)

Worked solution: The variance is \(\frac{\sum x^2}{n} - \bar{x}^2\); the student took the square root before subtracting and subtracted \(\bar{x}\) instead of \(\bar{x}^2\).
\(\sigma = \sqrt{326.6 - 17.8^2} = \sqrt{9.76} = 3.12\) g.

(b) Answer: \(\bar{x} + 2\sigma = 17.8 + 6.25 = 24.05\), and \(25 \gt 24.05\).
  • M1 for \(17.8 + 2 \times 3.12\)
  • A1 for 24.05 (or 24.0 or 24.1) and a comparison with 25, with a conclusion

Worked solution: \(\bar{x} + 2\sigma = 17.8 + 2 \times 3.124 = 24.05\). Since \(25 \gt 24.05\), the mass 25 g is an outlier.

(c) Answer: Mean 17.4 g, standard deviation 2.72 g
  • M1 for \(\sum x = 331\) and \(\sum x^2 = 6532 - 625 = 5907\)
  • A1 for mean 17.4 (g)
  • A1 for standard deviation 2.72 (g)

Worked solution: \(\sum x = 356 - 25 = 331\), \(\sum x^2 = 6532 - 25^2 = 5907\).
Mean \(= \frac{331}{19} = 17.4\) g. \(\sigma = \sqrt{\frac{5907}{19} - \left(\frac{331}{19}\right)^2} = \sqrt{7.40} = 2.72\) g.

(d) Answer: An outlier may be a genuine value (a naturally large seedling), not an error; it should only be removed if it is a mistake.
  • B1 for the value may be genuine (not an error in measuring or recording), in which case it should be kept

Worked solution: A seedling of 25 g may be a genuine, unusually large seedling. Outliers should only be removed if they are errors (for example in weighing or recording); removing genuine data would bias the results.

Question 3Hard8 marks
The daily maximum gust, \(g\) knots, is recorded for each of a random sample of 31 days that a student took from the large data set for Hurn in 2015. (The values are illustrative.) The largest value is 38. The values are summarised by \(\Sigma g = 689, \ \Sigma g^2 = 16{,}446\).
An outlier is a value more than 2 standard deviations above or below the mean.
(a) Show that 38 is an outlier.[3]
(b) The value 38 is found to be a recording error and is removed. Find the mean and the standard deviation of the remaining values, giving your answers to 2 decimal places.[4]
(c) Comment on the changes to the mean and the standard deviation.[1]
Show the answer and mark scheme
(a) Answer: Mean 22.23, s.d. 6.04, so the upper limit is 34.31, and 38 is greater than this.
  • M1 for a correct method for the mean and standard deviation
  • A1 for mean awrt 22.2 and s.d. awrt 6.04 (or 6.14)
  • A1 for limit awrt 34.3 (or 34.5) and a correct conclusion
(b) Answer: Mean 21.70, standard deviation 5.40 (knots)
  • M1 for \(\Sigma g = 689 - 38 = 651\) and \(n = 30\)
  • M1 for \(\Sigma g^2 = 16{,}446 - 38^2 = 15{,}002\)
  • A1 for mean awrt 21.70
  • A1 for standard deviation awrt 5.40 (allow 5.49)
(c) Answer: Both decrease; the standard deviation decreases proportionally more, because it is based on squared deviations, so it is strongly affected by an extreme value.
  • B1 for both decreasing, with the standard deviation affected more (it is more sensitive to extreme values)

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