Why plotting matters?
We have a dataset with two variables (X and Y) with two conditions. We are interested in the correlation between X and Y.
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Very similar!
Why plotting matters?
Let’s check the distributions of the two variables for each dataset
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Still kind of similar.
But if we look at the raw data
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Discuss the following points
- Is it always relevant to plot the raw data? When it might be not appropriate?
- For summary data, should we use histogram/bar plots, boxplots, violin plots or a combination?
- Would you prefer an exhaustive or a minimalist approach (see next slide)?
- Variability: SD or SE?
- What data we should always present for EEG studies (maybe let’s focus on ERPs)?
Exhaustive
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Minimal (somewhat)
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