L1 : Statistics overview - Statistics, Mathematics, Class 11 Video Lecture

hello friends this video on statistics
part 1 is brought to you by exam Viacom
no more fear from exam what we will
study we will study centre tenancy in
centered in NC will study mean median
and mode we'll also study measure of
this dispersion in measure of dispersion
study range quartile deviation mean
deviation and standard deviation we'll
also studying frequency distribution
continuous request illustration
distribution limitations of mean
deviation variance standard deviation
and analysis on frequency distribution
what is taxed is statistics is nothing
but signs of average and estimates
please know status is nothing but signs
of average and estimates when we want to
make average you want an estimate things
we used statistics in statistics you
deal with data and data has to be for a
specific purpose for example when we are
talking about population of India
you should think only about population
of India we should take it as it is
concerned about the population of India
for example the age the salary living
condition religion sex those kind of
thing is data about population of India
but data such as the quality of road or
the weight of the fan the such tweeter
is not relevant to population area so
when we are talking about population of
India we are talking only about data
that is collected for specific purposes
when we have data when we analyze data
we have interpreted it we can take
decisions we can take business decisions
based on data from statuses so let me
repeat once again statistics is the
science that deals with average and
estimates here we deal with data that is
collected only for specific purposes and
we can make decisions about the reader
by analyzing and interpreting it I take
some example for example demographic
demographic example for example
I am talking about population of India
population of here so I am talking about
population of India the data and collect
else first is detail correct is sex age
salary right relation it was kind of
thing so beasts now we have this data
for example we have data about all the
people in the audience we have what is
the a when the salary was the religion
and those kind of stuff now what we have
to do is we have to find let's suppose
the sex ratio maybe is to female or
female is to Mellish working right
female simulation for this may take is
data and we'll find this how I write
this will add all females will now on or
add all male and we'll divide this
current we have to find the average
salary what will do better take all the
salary and we'll divide it by the number
of people look at AB result so
demography of theta and we have to find
all this thing
this may sound confusing to you but you
will understand this in the later
chapters but what I'm trying to say is
sadness is nothing about signs of
average and estimates it deals with the
data so here this is our data so based
on these data we'll do some average and
we'll estimate and to come to a
conclusion when n why is this in the
interpret this data we will use average
estimate and we'll come to our distance
the dis is it is we can say their sex
issues' this month this valued
unemployment unemployment UE ratio is
this match those kind of stuff correct
more examples for example see strain so
say a strain for sale strain also we use
statistic one good example let's suppose
is a mobile company and the mobile
company wants launcher for now the
question is how many says that mobile
commissioned infection because if it
manufactures more said and this either
phones are not wearing so and the
company will be in loss if it is been
selling if it is manifesting less number
of sets there will be scattered you ever
sit in the market so they have to fight
you have to guess the number of sets
they can
for that what they do they know that
their customers are Indians example
they're launching in India market now
for that they'll what they do they'll
find data example what is the salary of
the customers in years
do they have set or not right said or
not are they ready to spend ready to
spend them if it is costly said they'll
mark it only metro's such kind of things
or what is the past experience fast sale
Rita so these are the data these ones
these data will analyze it they will
take a break and do or they'll take
their estimate and these don't then
they'll come to a sales trip and on the
basis of citizen they can take this
example here this phone since the price
of this phone is eight how the Ruby is
so I can expect to make only well like
this because I am only one leg Indian by
this the next phone this is for a and
for phone bees in the price is 2,000
rupees there are a lot of people who can
buy this so I will make this telling
tell like pieces such kind of thing is
generated from Statistics you may not
understand this but just try to
understand this for getting same
strength we need standard sticks when we
first we find data and then do you find
average in estimates we analyze it and
we come to them this is also
unemployment ratio similar to the
demographic data you want to find an
environment ratio we can use standard
states also as I told details you small
businesses for every distance businesses
you need data and how we do that we do
that by statistics we have a huge data
right from huge data you can take
distance example you have data salary of
one lakh people all Bahamian looking at
the salary will get confused the
businessman won't have time also what he
needs he needs
crisp and clear format and that thing is
done by statistics like that but this is
data huge it up so from this data he'll
come with the report the report will say
the average salary is this
the maximum server is this the minimum
server is this average salary of city is
this those kind of thing these or that
they can take this is correct one
example which I will give you is very
similar to your school for example you
have a in your class in mathematics
class in mathematics they are students
there
thirty snips and they have got number
like 1980 88 87 it is says like this and
31 guy got 20 also 21 also 72 also like
this now this is the Rita you had
teacher has got this your teacher is
aware of this data now your teacher
wants to present this leader of
principal since this is a huge data
right for a visa that you'll have Salida
and the principal won't have time to
understand this so what you can do see
will apply statistics on this data and
then say the range is the maximum number
is 90 the topic or 19 and the minion
score was 20
the average score is shall find the
average until telescope just what she
has done no she has converted this huge
data into the small in this case we had
only 40 or 50 students but guess what we
are talking about the whole school or if
you are talking about the whole district
holes into your country but the CBSE
results are out now we have data about
the whole country right you have made I
won't tell like people and this data
let's suppose you want to go and give it
to Education Minister you cannot give
the whole doesn't education mr. he won't
do anything he can't do anything with
that so in that case also you have to
give like this the maximum is this very
honest this average is this and to get
this meanings
services to make things clear statistics
is nothing but signs of average and
estimate here we deal with data that is
collected for specific purpose and from
that data we take decisions correct
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