:uni:

= data analysis and experimental thinking =
some boring statistics stuff:
* uni/bi/multi variate data
* types of data: nominal, numerical, etc
* populations vs samples
* parameter vs statistic
* summary statistics: mean, mode, etc
* using tables, plots to explain data, and how it can be misleading

important questions when understanding the distribution of numerical data:
* what is the range of the data
* what is the central tendency
* how spread out are the values

central tendency = most common: mean, median, mode
variability = a single value to measure internal variation of data; range, variation, standard deviation
other stats = five number summary

now we talk about different graphs
* histogram
* density plot
* box plot

bivariate data
* contingency tables = tables with 2 variables
* t-test

