This chapter introduces us to the concepts of data which is the information collected by
statisticians to conduct studies. Data is divided into 2 different categories, quantitative
and qualitative, with the first one being the data you can assign a value like money or
scores on tests, while the second is the data you cannot assign a value, for example:
satisfaction, eye colour, or style of writing. Furthermore when we take data we need to
take into account the 6 W’s which are:
● How: the data collected can make the difference between insight and nonsense.
● When: values recorded in 1803 may mean something different than similar
values recorded last year
● Where: values measured in Tanzania may differ in meaning from similar
measurements made in Mexico
● Who: usually, the rows of a data table correspond to individual cases in which we
record some characteristics.
● What: what individuals or individuals are we measuring is necessary to take
notes.
● Why: why do we take data is important for every study conducted since we need
to measure specific values for every study we conduct