Sampling and Bias Flashcards

1️⃣ Familiarise yourself with the flashcards:

  • Look through all the flashcards to see what's on both sides.
  • Make sure you understand the information on each card. If something's unclear, click the link to the revision notes at the bottom of the page for more details.

2️⃣ Test yourself:

  • Look at the question or prompt on each card and try to remember the answer before flipping it over.
  • Check the answer and make a note of any cards you find challenging and need to go over more.

3️⃣ Consistently Review and Practice:

  • Use spaced repetition: spend more time on the cards you struggle with and go over them more often.
  • Regularly review all the flashcards to help you better understand and retain the information over time.

Note: We may include questions that have multiple correct answers. It's useful to remember specific examples to understand these concepts better.

PERSONALISED 1-TO-1 TUTORING

Need more help on this topic? Get 1-to-1 support

Get support with clear explanations, practice and feedback (Ages 5 to 16).

  • DBS-checked tutors
  • Flexible times
  • Parents can be updated

Want an ad-free experience? Subscribe to remove ads

In health studies, what is meant by the population?

All the people in the group that scientists want to study.

What is a sample in a health investigation?

A smaller group taken from the population to be studied.

Why do scientists study a sample instead of the whole population?

It is quicker, cheaper, and easier than testing everyone.

What does it mean if a sample is representative?

It has a similar mix of ages, sexes, and other features as the whole population.

What is random sampling?

Choosing people by chance so everyone in the population has an equal chance to be picked.

What is bias in a health study?

A problem that makes the results unfairly favour one group or one answer.

How does random sampling help reduce bias?

It stops the researcher choosing people who fit their own ideas, on purpose or by accident.

Give one example of a biased sample.

Asking only people at a gym how much people in the country exercise.

How can sample size affect the results of a study?

A very small sample may give odd results. A larger sample is usually more reliable.

What is self-selection bias?

Bias that happens when only people who choose to take part are in the sample, such as an online poll.

How can scientists reduce bias when choosing a sample?

They can use random methods and make sure they include people from different groups in the population.