Statistical Analysis is split into two parts Descriptive
Statistics and Inferential Statistics. Zooming into the data or taking a close up
view of data can be metaphorical linked to Inferential Statistics. Zooming out
or overview of the data is provided by Descriptive Statistics.
Data collected are in raw form. This data is a sample and
has a predetermined sample size. Some statistical measures provide a summary of
the story told by this data. This summary can be provided quantitatively in the
form of Descriptive Statistics. Mean, Mode, Median, Variance etc are some of Descriptive Statistics tools. Graphical representations like pie chart, bar
chart, box plots, pareto charts etc provide a visual summary of the data. These
immediately follow data collection process and help us in getting “acquainted”
with the data. These are one of the first milestones in the long road leading to good
statistical inference. Inferential statistics are milestone appearing from half
of the journey in this road. Inferential Statistics frequently uses results from descriptive statistics for
making valid inferences about the population from the sample.
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