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we make sure everyone learn upto clarity.
In this video we are going to introduce you
to theory concept of (Introduction to descriptive
statistics and basic probability)
We divide the theory part into four part.
The first states how to describe the data
withgraphs
In second part we learn how .to describe the
data numerically by numerical measures , in
the third part we learn Basic Probability
concept and laws and in the last part we learn
conditional probability and bayes theorem
so let us divide into first part includes
bar graph , pie chart or pie graph ,line diagram
and the box plot ,then let us dive into second
part . Second part consists Measure of Central
Tendency ,Measure of Dispersion or varibilityand
lastly Difeerence between CentralTendency
and dispersion , and in the third topic we
have basic probability and the events such
as addition law of probability ,multiplication
law of probability .mutually exclusive Events,
equally Likely events ,dependent events ,Independent
events and f
From this branch diagram we can see there
are some old stuff which we are very familiar
to .
And Before moving forward I would strongly
reccomend everyone to memorize this branch
diagram because ..
beacuse this way you have the road map on
your mind and when you memorize anything as
a in the form of map
you won't easily forget it ....other wise
you will lear ,learn and learn and during
exam.....everything goes away in air...
And we will try our best to cover them all
but if any thing is missed up then feel free
to comment and if we are mistaken feel free
to
correct us by messaging at our facebook page
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