Lesson 2.02h

2.02h Outliers Quiz: OCR Maths, Unit 12

20 questions

Written by Revision Ninja · Last reviewed 11 October 2026

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Lesson 2.02h, Outliers: 20 multiple choice questions for the OCR Maths (H240), Unit 12: Data Presentation and Interpretation, written with Revision Ninja.

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The 20 questions

  1. What is the upper boundary formula for outliers using the interquartile range?

    • Q3 + 2 IQR
    • Q3 - 1.5 IQR
    • Q1 + 1.5 IQR
    • Q3 + 1.5 IQR

  2. What is the lower boundary formula for outliers using the interquartile range?

    • Q3 - 1.5 IQR
    • Q1 - 2 IQR
    • Q1 + 1.5 IQR
    • Q1 - 1.5 IQR

  3. What standard deviation boundary formula is commonly used to identify outliers?

    • Mean ± 3 SD
    • Mean ± 1.5 SD
    • Median ± 2 SD
    • Mean ± 2 SD

  4. Given Q1 = 10 and Q3 = 20, what is the upper boundary for outliers?

    • 35
    • 40
    • 30
    • 25

  5. Given Q1 = 12 and Q3 = 28, what is the lower boundary for outliers?

    • -12
    • 4
    • -4
    • 0

  6. Given a mean of 50 and standard deviation of 8, what is the upper outlier limit?

    • 66
    • 74
    • 58
    • 62

  7. Given a mean of 100 and standard deviation of 15, what is the lower outlier limit?

    • 85
    • 50
    • 70
    • 75

  8. What term describes the process of identifying and dealing with errors in a dataset?

    • Data cleaning
    • Data extrapolation
    • Data collection
    • Data sampling

  9. How are individual outliers usually represented on a standard box plot diagram?

    • Shaded bars
    • Connected lines
    • Crosses or dots
    • Dashed circles

  10. A dataset includes a human age of 95. What should a researcher do during data cleaning?

    • Delete the value
    • Replace with mean
    • Replace with median
    • Retain the value

  11. What term is given to an extreme data value that does not fit the overall pattern?

    • Variance
    • Skewness
    • Residual
    • Outlier

  12. In the dataset 4, 5, 6, 6, 7, 8, 30, which measure is most affected by 30?

    • Median
    • Mode
    • Interquartile range
    • Mean

  13. What is a valid reason to completely remove an outlier from a dataset?

    • Large sample size
    • Measurement error
    • High variance
    • Skewed distribution

  14. Given Q1 = 15 and Q3 = 25, which of these values is an outlier?

    • 0
    • 10
    • 42
    • 38

  15. For a distribution with mean 40 and standard deviation 5, how many SDs from mean is 52?

    • 2.4
    • 2.8
    • 2.0
    • 1.2

  16. Which statistical diagram explicitly displays quartiles, extreme values, and plotted individual outliers?

    • Histogram
    • Cumulative frequency graph
    • Box plot
    • Scatter graph

  17. Given Q1 = 20 and Q3 = 40, what minimum multiplier k makes 75 an outlier?

    • 1.75
    • 1.50
    • 2.00
    • 1.25

  18. How does removing a single extreme high outlier affect the standard deviation of a dataset?

    • Leaves it unchanged
    • Equals the mean
    • Decreases it
    • Increases it

  19. During data cleaning, a height value recorded as -175 cm should be treated as what?

    • Valid outlier
    • Data entry error
    • Lower quartile
    • Population median

  20. Under a normal distribution, approximately what percentage of data lies above mean plus two standard deviations?

    • 0.1%
    • 10.0%
    • 2.5%
    • 5.0%

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