Draw up a plan or investigation project setting out the aspects to be
addressed, statistical methods and possible solutions when
problems are encountered. This stage includes.
Investigation objective
Defines what is the fact or phenomenon to be
studied, it must be clear and concise since it's
the central point of the investigation.
It's necessary to determine whether the
phenomenon can be studied and
whether it can be recorded statistically.
Determine quantitative and
qualitative aspects.
The investigation object must be delimited,
analyzing if it's necessary observing all the
characteristics.
Data collection
There are two possible sources of information.
Direct: Data is obtained from the direct
observation of an event, that is, the
information is obtained at the exact location
where the event takes place.
Indirect: The data comes from another
event, different from the one it's looking
for, and then we deduce the value we want
to know.
At the same time, sources of information can be classified in
Primary source: Data is obtained directly from the
investigation, so in this case surveys are used.
Surveys are questionnaires that allow the answers of the event being
investigated to be recorded.
The interview is also another means of data collection, allowing a
greater number of answers to be obtained, however, it represents a
high cost, and also requires time to be carried out.
Secondary source: The data is obtained from institutions that have
previously published the information.
Organization of data
The previously collected data must be processed, it can
be manual, mechanical or computerized, depending on
Number and questions on the form.
Time and resources available.
Programs such as Microstat, SPSS, Minitab and others are used to process data and
apply statistical measures.
From the information which is has been previously recorded, a database is
generated then, lists are obtained, which are subsequently reviewed to
detect any inconsistencies in the previous stages.
Analysis and presentation of data
For this stage, distributions and frequency tables are made, systematizing the
information that will later be represented in statistical graphs.
Such as histogram, bar chart, stem-and-leaf plot, pie chart, among others.
At this stage, measures are applied that allow a better understanding of
the data obtained and therefore set up conclusions.
Measures such as the statistics that are applied to the
characteristics of the units that make up the sample.
or the statistical parameters that
apply to the characteristics of the
population.