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Learning objective

Comprehend seasonal variations and compute seasonal components from data tables, moving averages, and time series graphs.

Read the explanation, check the common trap, then practise with flashcards and questions.

Exam focus

  • Read the explanation.
  • Check key terms.
  • Practise with linked questions.
Cambridge IGCSE StatisticsTime series

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Quick explanation

Comprehend seasonal variations and compute seasonal components from data tables, moving averages, and time series graphs

  • This point belongs to Time series, especially Time series outcomes.
  • You need to be able to comprehend seasonal variations and compute seasonal components from data tables, moving averages, and time series graphs.
  • The key ideas to know are Calculate.
  • Use the linked flashcards and practice questions to check recall, then practise applying the idea in an exam-style answer.

Key concepts

Calculate

Why it matters

This objective helps connect Time series outcomes to exam-style questions, flashcards, and revision notes for Time series.

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Flashcards10 linked cards

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Practice Questions7 linked questions

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Paper 1 structured question: Time series

Paper 1Statistical Techniques6 marks

Data Table

Monthly Sales Data (in units)

Sales data for 12 months

MonthSales
Jan120
Feb130
Mar150
Apr170
May200
Jun220
Jul210
Aug190
Sep160
Oct140
Nov130
Dec110
  1. a

    Calculate the 3-month moving average for April.

    Aim for approximately 2 distinct marking points.

    [2]
  2. b

    Determine the seasonal component for July using the moving average method.

    Aim for approximately 4 distinct marking points.

    [4]
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