In this video, we will see the types of statistics, basically the statistical tools can be classified
as descriptive or inferential.
Let us look at them one by one.
Descriptive statistics.
As the name suggests, describe the data, for example, if you have a table containing the summary
of data collected or a chart showing distribution of people belonging to different countries.
So suppose we have collected data on students who are doing the schools.
Descriptive statistics on each variable will tell me the age of youngest student, age of older student,
and how many students belong to which age group and so on.
By looking at this, I can understand the target audience of the course and probably grade the examples
so that examples are more meaningful for most of my audience.
Below is the list of commonly used tools for describing the data.
We will discuss them in detail in the coming lectures.
I will just read them out for now.
First are the measures of center.
That is.
These will tell you where the center of the data.
One such center as you may be doing is average value, which is also known as mean others Interzone
median and more than the measures of dispersion.
How dispersed is our data or how distributed is it?
Range and standard deviation are two values which tell us about this.
Then we will discuss frequency distributions for qualitative data and also discuss budgets, which are
used to display frequency distribution graphically.
Similarly for quantitative data, we will discuss histograms.
Singing babies inferential statistics.
As the name suggests, this is used to make inferences from the data.
So usually we have a sample of observations and bases.
These observations, we may want to make decisions or predictions about other cases of the population.
There are several inferential techniques available below the smallest of four such techniques, since
this is, of course, about regression, we will be covering only the last one, which is a regression.
We will also be covering the basic descriptive statistic tools, because you must know these.