Lesson 2f.02

2f.02 Interpret seasonal and cyclic trends in context Quiz: Pearson Edexcel Statistics, Unit 2

20 questions

Written by Revision Ninja · Last reviewed 11 October 2026

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Lesson 2f.02, Interpret seasonal and cyclic trends in context: 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. Which term describes a regular pattern that repeats over a fixed period, such as every quarter or every month?

    • Random variation
    • Long-term trend
    • Sampling error
    • Seasonal variation

  2. In a time series, what does a seasonal effect measure?

    • Random variation
    • Trend deviation
    • Cyclic period
    • Annual total

  3. Which term describes a repeating time series pattern longer than a year without a fixed length?

    • Moving average
    • Random variation
    • Seasonal trend
    • Cyclic trend

  4. Why are seasonal effects averaged over multiple years before making predictions?

    • Increase gradient
    • Extend trend line
    • Remove median values
    • Reduce random variation

  5. What gives the typical size of the seasonal effect for one specific season?

    • Quarterly range
    • Average seasonal effect
    • Trend gradient
    • Moving average

  6. Which practice in time series analysis is most likely to produce a misleading forecast?

    • Extrapolating far ahead
    • Using moving averages
    • Plotting trends
    • Averaging seasons

  7. A time series is recorded quarterly. How many points make up one complete seasonal cycle?

    • 7
    • 12
    • 4
    • 3

  8. What does the trend line represent in a time series graph?

    • Seasonal variation
    • Random fluctuation
    • Cyclic peak
    • Long-term movement

  9. Quarterly seasonal effects are found as actual minus trend. An actual value is 58 and the moving-average trend is 50. What is the seasonal effect?

    • -8
    • +108
    • +8
    • +50

  10. The average seasonal effect for Quarter 3 is -15 and the trend for next year's Quarter 3 is predicted to be 210. What is the predicted value?

    • 225
    • 195
    • 180
    • 210

  11. Winter sales have an average seasonal effect of -30 and the trend predicts 120 for next winter. What is the prediction?

    • 80
    • 120
    • 150
    • 90

  12. Monthly rainfall is high every July for ten years. What type of pattern is this?

    • Cyclic trend
    • Random variation
    • Seasonal variation
    • Moving average

  13. Sales peak each December and the trend rises. Where should next December's prediction sit?

    • Below trend line
    • On trend line
    • At zero
    • Above trend line

  14. Four quarterly seasonal effects are +20, -5, -10 and -5. What do they sum to?

    • Twenty
    • Ten
    • Zero
    • Forty

  15. The 4-point moving average for Quarter 1 is 90 and the actual Quarter 1 value is 84. The trend for next year's Quarter 1 is 110. What is the predicted value if the average seasonal effect is -6?

    • 110
    • 116
    • 104
    • 84

  16. A winter product has a seasonal effect of -40 and trend of 250. What is the forecast?

    • 210
    • 250
    • 40
    • 290

  17. Why are forecasts far beyond observed time series data considered unreliable?

    • Mean is zero
    • SampleSize shrinks
    • Trends may change
    • Data is rounded

  18. Why are cyclic patterns in economic data difficult to predict exactly?

    • Constant gradient
    • Fixed time periods
    • Variable cycle length
    • Zero seasonal effect

  19. Quarterly values are 40, 60, 80, 20 and 50. What is the second 4-point moving average, using the values 60, 80, 20 and 50?

    • 55
    • 60
    • 52.5
    • 50

  20. The Q4 seasonal effects over three years are -6, -4 and -8. The trend for next Q4 is 90. What are the average effect and the prediction?

    • Average -6, prediction 84
    • Average -6, prediction 96
    • Average -4, prediction 86
    • Average -5, prediction 85

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