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In this video we are going to introduce you
to concept descriptive statistics with example.
To know about descriptive statistics
We first need to know four things.
They are:POPULATION ,SAMPLE , PARAMETER ,STATISTICS
What is population?
Population is everything as a whole that is
concerned in our analysis,research or problem
statement of any field.
i.e during research whatever thing or person
which is required by our research question
is our population
What is Sample?
Sample is the small part or may be the fraction
of data taken from the population either randomly
or biasedly but best at
random.
that is Sometimes population is extremely
large or unfeasible for study so we wisely
select some part of population and conduct
our analysis which is our sample
What is Parameter?
Certain mathematical measure which describe
characteristics of the population are said
to be parameters.
that is after we have identified population
we perform certain mathematical analysis to
describe the population numerically
and that numerical value is our parameter
What is Statistics?
Certain mathematical measure which describe
characteristics of the sample are said to
be statistics.
that is after we wisely selected the sample
we perform certain mathematical analysis to
describe the sample numerically
and that numerical value is our statistics.
Now let us understand the concept with an
example: Say you want to calculate the average
age of smokers in a country
Here, our population is equal to all the smokers
in that country
But, since its difficult , expensive or impossible
to find all of them and ask their age .
So we collect data of onlycertain number of
people(say 1000 in total) from all parts of
a country.
Thus, our sample is equal to thousand smokers
whose datas are collected.
During research, if we had been able to collect
the data of all smokers then we could have
calculated the exact ' mean ' which is called
the population mean and this population
mean falls inside "parameter" because it numerically
describes the characteristics of population
But since we had only sampled 1000 smokers
, then we can calculate the mean of only these
1000
smokers which is called sample mean and this
sample mean fall inside "statistics" because
it numerically
describes the characteristics of sample.
So now I guess we have known the concept of
population , Sample , Parameter and statistics.
Thus now we
are ready to understand the concept of Discriptive
statistics But if you havenot understood then
may repeat it and
but even after repeating you did not get the
concept comment in our comment section and
if you got the concept then clik like and
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So now lets focus here , here it is stated
that population mean numerically describes
the characteristics of population and
sample mean numerically describes the characteristics
of sample but These numerical values donot
answer any question or problem
during any decision making activity .
that is they don't directly give any answer
to our question such as What is the chance
that any randomly selected smoker from the
list of smokers is of age group
45-50?
The only work they have done is they gave
a mathematical value to describe or represent
the whole data
"Thus ,the basic summary statistics or numerical
value which only describes
the data on the basis of collected information
and can be used during the process of answering
a
question but doesnot directly give answer
of the question or help in any decision making
are called the discriptive statistics"
So we have tried our best to cover the topic
but if any thing is missed up then feel free
to comment and if we are mistaken feel free
to
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Thank you..See you in our next video.
