IB Maths AI HL Sl 4 1 Sampling and Data Questions

Practise identifying populations, samples and data types, choosing sampling methods, judging bias and reliability, and assessing errors or outliers before inference.

Syllabus
First assessment 2021
Course
Mathematics: applications and interpretation HL
Level
HL

Exam points

  • Identify the population, sample and data type, then choose or critique a sampling method for bias, reliability and missing or erroneous data.
  • Distinguish random, convenience, systematic, quota and stratified sampling and justify the choice for a stated investigation.
  • Assess outliers, recording errors and the validity of conclusions drawn from the sample.

IB Maths AI HL Sl 4 1 Sampling and Data Questions question 1

[Maximum number: 1]

Juliet is a sociologist who wants to investigate if income affects happiness amongst doctors. This question asks you to review Juliet's methods and conclusions.
Juliet obtained a list of email addresses of doctors who work in her city. She contacted them and asked them to fill in an anonymous questionnaire. Participants were asked to state their annual income and to respond to a set of questions. The responses were used to determine a happiness score out of 100 . Of the 415 doctors on the list, 11 replied.

Describe one way in which Juliet could improve the reliability of her investigation.

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