Statistics is sub
field of both science and mathematics as it uses the rules from these two
fields. . It works with the calculations and quantifications of data,
scrutinizing it, elucidating, and dispensing it in the best form. The students
of this subject collect the data by doing various experiments and then survey
all those samples. They do so to get the maximum corrected results regarding
that experiment. In this subject, you can find out the results by taking all
the measurements, and using all the indexes required to get the conclusion of
the system.
Talking about
the branches or types of statistics, there are two of them.
·
Descriptive Statistics
·
Inferential Statistics
Explanation of Descriptive Statistics:
The type which organizes,
rearranges or precise the data of the system is called as the descriptive
statistics. It only describes the data but do not find out any kind of
inference from it. Mean, median, mode and many other indexes are used in this
first type of statistics. Applying the values of all these indexes can help you
to make the graphs and the charts representing the descriptive type. These indexes
work as the samples during the précising of data. Descriptive statistics is not
as easy to do as it appears. The most important thing in statistics is taking
the correct and most accurate measurements. The students of this subject remain
conscious of taking the right measurements as any mistake in the measurements
can lead to a bigger change in the conclusion.
For example, if
you want to know that what does the annual result of the student says whether
the student passed the subject of statistics this year or not? To find this you
need to use the method of descriptive statistics. You have to record the
answers in the form of bar charts or graphs. Here are some variables that you
should know before doing this analysis.
·
Distribution
·
Mean
·
Mode
·
Median
·
Central tendency
·
Standard Deviation
·
Variance
·
Range
Knowing how to
calculate the values of all these variables will help you in finding out the
descriptive statistics.
Importance of Descriptive Statistics:
Descriptive
statistics is the best way to present the data in a more authentic form. This
is so because if the data is presented in the unrefined form then it will
become so difficult to conceptualize what the data wants to provide. And it may
also change the exact meaning and the result of the data.
Through
descriptive statistics, we can summarize the data using tables, graphs, and charts.
These graphs, tables, and charts are made according the results found in the
whole process.
Inferential Statistics:
Drawing the
right results from descriptive statistics is the job of inferential statistics.
Finding out the right conclusions using the charts and the graphs made during
descriptive statistics to is called inferential statistics.
For example,
Suppose you are
in a college and asking hundred teachers if they like to teach statistics or
not. You can make a bar chart according to the answers of teachers. This is the
first type. Now if you have concluded the result that 60% to 70% of the
teachers like to teach statistics then this is the inferential statistics.
These graphs represent the second type of statistics and tells us about the
inferences taken from the first one.
Importance of Inferential Statistics:
From the
inferential type, we came to know what we have learned from descriptive type.
This type is used to find out the results of the data using the previous type.