Lesson 1b.02

1b.02 Know the advantages and implications of merging data into more general categories, and... Quiz: Pearson Edexcel Statistics, Unit 1

20 questions

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Lesson 1b.02, Know the advantages and implications of merging data into more general categories, and...: 20 multiple choice questions for the Pearson Edexcel GCSE Statistics (1ST0), Unit 1: The collection of data, written with Revision Ninja.

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The 20 questions

  1. What is the main disadvantage of grouping numerical data into class intervals?

    • Larger sample size
    • Slower calculations
    • Increased bias
    • Loss of accuracy

  2. For whole-number data, what is the class width of the interval 20 to 29?

    • 10
    • 29
    • 9
    • 11

  3. What does merging detailed categories into broader groups achieve?

    • Higher precision
    • More variables
    • Continuous data
    • Simpler general categories

  4. What is a key advantage of grouping numerical data into class intervals?

    • Easier pattern spotting
    • Zero data loss
    • More detail
    • Exact calculations

  5. Which term describes the number of values in each class interval?

    • Class width
    • Frequency
    • Range
    • Median

  6. Why might a researcher choose fewer, wider class intervals for a table?

    • Increase precision
    • Remove outliers
    • Simplify the table
    • Add more data

  7. Combining 'Yes' and 'Strongly yes' into a single 'Yes' group is an example of what?

    • Stratified sampling
    • Data cleaning
    • Extrapolation
    • Merging categories

  8. What is a major implication of grouping continuous data into class intervals?

    • Loss of accuracy
    • Exact values retained
    • Increased detail
    • Higher frequency

  9. Ages are grouped as 0–15, 16–30, 31–60 and 61+. What is the class width of 16–30 for whole years?

    • 15
    • 14
    • 16
    • 30

  10. Heights are grouped as 150–154 cm and 155–159 cm, in whole centimetres. What is the class width?

    • 5
    • 4
    • 155
    • 10

  11. What term describes categories such as '18–24' and '25–34' used to organise data?

    • Secondary data
    • Class intervals
    • Raw data
    • Explanatory variables

  12. What is the primary effect of merging ten job types into four broad sectors?

    • Increases accuracy
    • Doubles frequency
    • Reduces detail
    • Removes bias

  13. Which mark interval width out of 100 would lose the least accuracy when grouped?

    • Interval width 50
    • Interval width 5
    • Interval width 25
    • Interval width 20

  14. A frequency table groups times into 0–9 s, 10–19 s and 20–29 s. If 14 times fall in 10–19 s, what is the frequency for that class?

    • 19
    • 29
    • 14
    • 10

  15. Why should grouped data always be presented with clear class intervals?

    • To save ink
    • To show value ranges
    • To hide outliers
    • To increase totals

  16. Marks are grouped as 0–9, 10–19 and so on, and the mean is estimated from class midpoints. What is the midpoint of 10–19?

    • 15
    • 14.5
    • 14
    • 19.5

  17. Why can exact individual data values not be recovered from grouped frequency tables?

    • Data is biased
    • Frequencies are missing
    • Sample size decreases
    • Values are merged

  18. Which pair of class intervals for whole numbers has the same width?

    • 0–9 and 10–29
    • 20–29 and 40–69
    • 0–9 and 10–19
    • 10–19 and 30–50

  19. What must be adjusted when comparing datasets grouped with different class widths?

    • Total frequency
    • Sample mean
    • Frequency density
    • Class midpoint

  20. A class interval runs from 40 to 49 for whole numbers. What are its class boundaries?

    • 39 and 50
    • 40 and 49
    • 40.5 and 49.5
    • 39.5 and 49.5

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