Paper 2 · Statistics ⏱ Tested in 5 exam questions since 2024 Lesson 13 of 21

Statistics 13 z scores 5 (standardising formula)

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You’ll learn

  • Standardise a raw value with z = (x − μ)/σ before looking up pages 36/37
  • Draw paired real-scale and z-scale diagrams for every standardising question
  • Solve real-world normal problems: standardise → look up → apply complement/mirror

Most recent exam questions

  • 2025 Paper 2 Q10(a)(i) — z-score lookup against the standard normal table
  • 2025 Paper 2 Q10(a)(ii) — forward standardising — convert raw score 420 to z-score, look up tail probability
  • 2024 Paper 2 Q7(a)(i) — standardise an individual observation — z = (x − μ)/σ, then look up P(Z < z)
  • 2024 Paper 2 Q7(a)(ii) — inverse standardising — given a tail probability, find the corresponding raw value

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