Analysing Research Data 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 quantitative data?

Numbers you can count or measure, like sales or ages.

What is qualitative data?

Words and opinions that explain why, like customer comments.

Which chart is best to show change over time?

A line graph.

What does a trend show in research data?

The general direction over time, such as sales rising or falling.

What is an outlier in a data set?

A result far from the others. It may be an error or a rare case.

How do you calculate the mean (average)?

Add all the values, then divide by how many there are.

How do you work out percentage change?

New minus Old, divided by Old, then multiply by 100.

How do you calculate a business’s market share?

Its sales divided by total market sales, times 100.

Why is sample size important when analysing data?

A larger, well-chosen sample makes results more reliable.

What is bias in research data?

When results are pushed in one direction, for example by leading questions or a poor sample.

What does valid data mean?

It measures what it is meant to measure, so the result fits the question asked.

What is correlation, and does it prove causation?

Correlation is when two things move together. It does not prove one causes the other.