Lesson 2c.02

2c.02 Identify outliers by inspection and using appropriate calculations Quiz: Pearson Edexcel Statistics, Unit 2

20 questions

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Lesson 2c.02, Identify outliers by inspection and using appropriate calculations: 20 multiple choice questions for the Pearson Edexcel GCSE Statistics (1ST0), Unit 2: Processing, representing and analysing data, written with Revision Ninja.

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The 20 questions

  1. What is the lower boundary for a small outlier using the IQR rule?

    • LQ + 1.5 x IQR
    • LQ - 1.5 x IQR
    • Median - IQR
    • UQ + 1.5 x IQR
  2. What is the boundary for a large outlier using the IQR rule?

    • LQ - 3 x IQR
    • UQ - 1.5 x IQR
    • Mean + 3 x SD
    • UQ + 1.5 x IQR
  3. LQ is 10 and UQ is 20. What is the upper outlier boundary?

    • 45
    • 35
    • 25
    • 30
  4. LQ is 10 and UQ is 20. What is the lower outlier boundary?

    • 0
    • 15
    • 5
    • -5
  5. LQ is 40 and UQ is 60. Using standard outlier limits, is a value of 105 an outlier?

    • No, within limits
    • Yes, above 100
    • Yes, above 90
    • No, below 105
  6. Which definition best describes an outlier identified by simple inspection?

    • The median value
    • Distant data value
    • The middle quartile
    • The modal category
  7. Is a data value of 66 an outlier if the mean is 50 and standard deviation is 5?

    • No
    • Exactly on limit
    • Cannot tell
    • Yes
  8. LQ is 8 and UQ is 14. Is a value of 4 an outlier using standard limits?

    • No, limit is 0
    • No, limit is -1
    • Yes, below 4
    • Yes, below 2
  9. Is 60 an outlier if the lower quartile is 12 and upper quartile is 30?

    • Undefined
    • Borderline
    • Yes
    • No
  10. Which numerical measure is used with quartiles to define outlier boundaries?

    • Mean
    • Range
    • Standard deviation
    • Interquartile range
  11. Is 180 an outlier if the lower quartile is 60 and upper quartile is 90?

    • Not enough data
    • Yes
    • Exactly on boundary
    • No
  12. LQ is 50 and IQR is 20. Which value is a small outlier?

    • 40
    • 15
    • 22
    • 30
  13. Why should you check for outliers before calculating the mean?

    • Changes the median
    • Improves the mode
    • Reduces data size
    • Distorts the mean
  14. Is a data value of 3 an outlier if lower quartile is 12 and upper quartile is 16?

    • No
    • Yes
    • Maximum value
    • Inconclusive
  15. Is 91 an outlier using the 3 standard deviation rule if the mean is 80 and SD is 4?

    • No
    • Yes
    • Cannot calculate
    • Exactly 3 SD
  16. Is 60 an outlier if the lower quartile is 20, median is 26, and upper quartile is 34?

    • Invalid test
    • Only just
    • Yes
    • No
  17. Test scores have UQ 70 and LQ 60. Which value is a large outlier?

    • 84
    • 88
    • 80
    • 75
  18. What does an interquartile range of zero imply about potential outliers?

    • No outliers possible
    • Any different value
    • Mean equals zero
    • All values match
  19. LQ is 25 and UQ is 45. Which values are outliers: 90 and 100?

    • Only 100
    • Neither
    • Both 90 and 100
    • Only 90
  20. Is a data value of 15 an outlier if the lower quartile is 45 and upper quartile is 60?

    • Too close
    • Cannot tell
    • Yes
    • No

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