Statistical analysis of experimental data

What you'll learn

1. 1

   Imagine you're baking biscuits 🍪 and you want to know if your new recipe makes them chewier than the old one. You bake 5 biscuits with each recipe and measure how bendy each one is.

2. 2

   What is the first step in analysing experimental data?

3. 3

   Here are the bendiness scores (out of 10) for 5 biscuits from the new recipe: 7, 8, 6, 9, 7. Tap each biscuit to add it to the list — then see the mean (average) appear.

4. 4

   Let's calculate the mean bendiness together!

5. 5

   The old recipe biscuits had scores: 5, 6, 5, 7, 6. What is their mean?

6. 6

   Now we compare the means: new recipe = 7.4, old recipe = 5.8. The new biscuits are chewier on average! But is this difference reliable?

7. 7

   If a t-test gives a p-value of 0.02, what does that mean? (Hint: p < 0.05 is usually significant)