Random Sampling 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.

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What is random sampling?

Choosing a sample so each person has an equal chance to be picked.

What is a sampling frame?

A complete list of the population you can draw your sample from.

Why is a sampling frame needed for random sampling?

Without a full list, you cannot give everyone an equal chance to be chosen.

Name one way to select people at random.

Use a random number generator or draw names from a hat.

What are the basic steps in random sampling?

Make a full list, number it, pick random numbers, invite those people.

Why do sociologists use random sampling?

It reduces selection bias and can make results more representative.

What is one limitation of random sampling?

It needs a full list of the population, which is often hard to get.

How can non-response affect a random sample?

If many selected people refuse, the sample may stop being representative.

How does sample size affect random sampling results?

Larger samples are usually more accurate and more like the whole population.

How is random sampling different from stratified sampling?

Random gives everyone an equal chance. Stratified samples from set groups first.

How is random sampling different from systematic sampling?

Random uses chance. Systematic picks every nth person from a list.

When is random sampling most suitable?

When you have a full list and the population is fairly similar.