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# Basic study statistics: Number of participants, dates when it was ran,
# bugs and issues present in the study, reasons to be concerned that the
# data is unreliable, etc.
# All the data pre-procesing. E.g. merging CSV files, adding features from
# excel sheets, determine if choices were correct
# Statistical analysis - (regressions, anova, chi square, factor analysis,
# etc.)
# Visualization - the reason this is after statistical analysis is that
# some properties of the graphs (e.g. a regression line or confidence
# intervals) are in themselves statistical analysis computed in the
# previous section
summary(cars)
## speed dist
## Min. : 4.0 Min. : 2
## 1st Qu.:12.0 1st Qu.: 26
## Median :15.0 Median : 36
## Mean :15.4 Mean : 43
## 3rd Qu.:19.0 3rd Qu.: 56
## Max. :25.0 Max. :120
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plot(cars)