All revision notes topics

Collecting and classifying dataIB MYP Maths Extended: Revision notes

Section 1

Types of data

Categorical data are described in words or categories, such as bag colour or favourite sport. Numerical data are numbers and are either discrete or continuous.

  • Discrete data can only take separate values, usually found by counting: number of siblings, goals scored, shoe size.
  • Continuous data can take any value in a range, usually found by measuring: height, mass, time. Continuous data are always rounded when recorded, but the true value could be anywhere in a range.
Key termscategoricaldiscretecontinuous
Common mistake

Calling shoe size continuous because it is measured. It only takes listed values such as 55 and 5125\frac12, so it is discrete.

Exam tip

Ask: can it take a value between two neighbouring values? If yes, it is continuous.

Section 2

Populations and samples

The population is every person or item you want to know about. A sample is a smaller group chosen from the population. A census asks the whole population, but this is often too slow or expensive, so we use a sample. A good sample is representative, meaning it has the same mix of people as the population. A larger sample is usually more reliable.

Key termspopulationsamplecensusrepresentative

Section 3

Sampling methods

  • Simple random: every member has an equal chance of being chosen (random numbers or a draw).
  • Systematic: choose every kkth member from a list, starting at a random point. For 600600 students and a sample of 3030, choose every 2020th.
  • Stratified: split the population into groups (strata) and take a random sample from each in proportion to its size.
  • Convenience: choose people who are easy to reach. This is quick but often biased. Stratified example: 120120 from 2 4002\,400 members, of whom 1 5001\,500 are adults: 1 5002 400×120=75\frac{1\,500}{2\,400}\times120=75 adults.
Key termsrandom samplesystematicstratifiedstrata
Common mistake

Choosing stratified numbers without using the proportion of each group in the population.

Section 4

Bias

Bias means the results are pushed in one direction, so they do not truthfully represent the population. It can come from:

  • a sample that is not representative (only asking people at one place);
  • self-selection, where volunteers take part, such as an online poll;
  • non-response, where many people chosen do not reply, so the replies may be different from the rest;
  • leading questions that suggest a particular answer. To reduce bias, use a random or stratified sample, a larger sample and neutral questions, and follow up non-responders.
Key termsbiasself-selectionnon-responseleading question
Exam tip

In a bias question say who is left out and which way it changes the results.

Section 5

Designing questionnaires and collecting data

A good question is clear, neutral and gives a time period ("each school day"). Answer boxes should cover every possible answer, not overlap, and be easy to tick: None; Less than 1 hour; 1 to less than 2 hours; 2 hours or more. Include "none" or "other" where it is needed. Do not ask two questions in one. Primary data are collected by you (survey, observation, experiment); secondary data were collected by someone else (a database or website). Use a tally chart to record counts as you go. A short pilot survey with a few people shows up unclear questions before the real survey.

Key termsquestionnaireprimary datasecondary datapilot
Common mistake

Overlapping boxes such as 00 to 22 hours and 22 to 44 hours. Which box does 22 hours go in? Use 00 to less than 22, then 22 to less than 44.

That's the notes covered.

Carry on to the next subtopic.

Exam questions on Collecting and classifying data

  1. A school survey records four pieces of information about each student: shoe size, the colour of their bag, their height in centimetres and the number of siblings.
    Explain why shoe size is discrete data.2 marks
  2. A town council wants to find out how residents travel to work. It has a list of all 8 0008\,000 residents, of whom 3 2003\,200 live in the north of the town and 4 8004\,800 live in the south.
    A councillor suggests surveying only people who are at the railway station at 8 am on a weekday. Explain why this sample would be biased.2 marks
  3. A student wants to find out how long pupils in her school spend on social media each day. She asks: "You spend too much time on social media, don't you?" The answer boxes are: "A lot", "Some" and "Hardly any".
    Identify three faults with the question and the answer boxes.3 marks
See the full worksheet

Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).