Lesson 4A.6

4A.6 Statistical evidence for regeneration need Quiz: Pearson Edexcel Geography, Unit 5

20 questions

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Lesson 4A.6, Statistical evidence for regeneration need: 20 multiple choice questions for the Pearson Edexcel Geography (9GE0), Unit 5: Topic 4A: Regenerating Places, written with Revision Ninja.

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The 20 questions

  1. Which index ranks small areas in England by combining multiple deprivation domains?

    • Social Mobility Index
    • Economic Activity Index
    • Urban Regeneration Index
    • Multiple Deprivation Index

  2. What does Spearman's rank correlation coefficient measure between two datasets?

    • Standard deviation values
    • Difference between means
    • Strength and direction
    • Expected versus observed

  3. What does a Spearman's rank value of -0.9 indicate?

    • Strong negative correlation
    • Weak positive correlation
    • Strong positive correlation
    • Zero statistical correlation

  4. Which of these provides qualitative evidence about how a place is represented?

    • Local employment statistics
    • Average house prices
    • Census population data
    • Resident interview transcripts

  5. Which of these is a social indicator used to assess regeneration need?

    • Pedestrian footfall count
    • Gross Value Added
    • Life expectancy
    • Retail yield percentage

  6. How is relative change in a statistical dataset calculated?

    • Percentage of baseline
    • Total cumulative sum
    • Average over time
    • Absolute numerical difference

  7. What does a correlation coefficient value of 0 indicate between two variables?

    • Strong negative relationship
    • Complete statistical certainty
    • No linear relationship
    • Perfect positive relationship

  8. Area X has an unemployment rate of 12% against a national rate of 5%. By how many percentage points is Area X above the national rate?

    • 2.4 percentage points
    • 17 percentage points
    • 12 percentage points
    • 7 percentage points

  9. Median house prices in a town rose from 120,000 pounds to 150,000 pounds. What is the percentage change?

    • 24%
    • 25%
    • 20%
    • 30%

  10. Population fell from 8,400 to 6,300 over a decade. What is the percentage change to the nearest whole number?

    • -25%
    • -21%
    • -33%
    • -15%

  11. Five areas are ranked on two indicators and the sum of squared rank differences is 20. What is Spearman's rho, using rho = 1 - 6 x sum(d^2) / (n(n^2 - 1))?

    • 0
    • 1
    • -1
    • 0.5

  12. Why can high percentage increases in small baseline numbers be misleading?

    • Invalid statistical test
    • Large sample bias
    • Small absolute change
    • Data collection error

  13. An area's median income is 18,000 pounds and the national median is 26,000 pounds. Roughly what percentage below the national median is the area?

    • About 31%
    • About 69%
    • About 44%
    • About 8%

  14. What is the main drawback of using census data from ten years ago?

    • Outdated statistical evidence
    • Qualitative data bias
    • Insufficient sample size
    • High spatial aggregation

  15. What key limitation applies when interpreting a strong positive correlation coefficient?

    • Sample size small
    • Values are invalid
    • Data is unranked
    • Correlation excludes causation

  16. What process explains why two media outlets represent the same data differently?

    • Media framing
    • Data manipulation
    • Statistical error
    • Random sampling

  17. What is the risk of relying on a single indicator to justify regeneration?

    • Unranked data set
    • Partial spatial picture
    • Invalid correlation value
    • Excessive qualitative bias

  18. What key limitation exists when using area-average IMD scores for neighbourhoods?

    • Lacks comparative ranking
    • Excludes quantitative data
    • Masks local variation
    • Measures single domains

  19. Why do different stakeholder groups often contest regeneration statistics?

    • Identical data sources
    • Universal agreement
    • Differing priority weightings
    • Standardised definitions

  20. How is an area's economic performance best evaluated against broader trends?

    • Standard deviation calculation
    • Comparison to benchmarks
    • Analysis of imagery
    • Spearman's rank test

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