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NotesBusiness ManagementTopic 6.7
Unit 6 · Business Management Toolkit · Topic 6.7

IB Business Management — Descriptive statistics

Topic 6.7 covers the use of descriptive statistics in business decision-making, including measures of central tendency (mean, median, mode) and measures of dispersion (range, standard deviation). Students learn to interpret statistical data and apply it to business contexts.

Exam technique guidePractice questions

What you'll learn in Topic 6.7

  • 6.7.1 Measures of central tendency
  • 6.7.2 Measures of dispersion
  • 6.7.3 Using statistics in business decisions

Exam relevance

Business Management is assessed through Paper 1 (case study) and Paper 2 (structured questions). Expect to apply these concepts to business scenarios using appropriate tools and terminology.

Suggested study order: Read the notes for each sub-topic below → test yourself with flashcards → attempt practice questions → review exam technique.

Study resources — 6.7 Descriptive statistics

6.7.1

Measures of central tendency

Notes
6.7.2

Measures of dispersion

Notes
6.7.3

Using statistics in business decisions

Notes

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Topic 6.7 Descriptive statistics forms a core part of Unit 6: Business Management Toolkit in IB Business Management. Mastering these concepts will strengthen your understanding of connected topics across the syllabus and prepare you for exam questions that require analysis, evaluation, and real-world application.

Frequently asked questions

What does Topic 6.7 Descriptive statistics cover in IB Business Management?
Topic 6.7 covers descriptive statistics as part of the IB BM syllabus. Students learn key business concepts, tools, and frameworks that are assessed in Paper 1 (case study) and Paper 2 (structured questions).
How should I revise Descriptive statistics for IB Business Management exams?
Start with the micro-topic notes to build understanding, then use flashcards for key terms and formulas. Practise applying concepts to case study scenarios and review how marks are allocated in IB mark schemes.
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