is Inferential Statistics?
statistics is the branch which deals with predictions and making conclusions
about a study. In other words, we use inferential statistics when examination of each member of an entire population is not
convenient or possible. For example, instead of measuring the diameter of every
nail manufactured in a factory, we use a random nail sample. By using its
information we make generalization about the diameters of all nails in the
factory. In this case the nails are called a population. Simply population is
any group of data. The method which is used in inferential statistics is called
sampling. We can relate to another example concerning students, for instance we
can’t get all the results of students living in USA but in fact we can use
inferential statistics to obtain information rather than gathering all their
What are the main types?
And now after we discussed the definition of inferential stat.
we can move on the main types. According to the type of research, we use a
corresponding statistical method. But before we decide we must examine the data
first. If the data is normally distributed then we will go with parametric
tests while if it is not normally distributed then we will choose the non
parametric tests. Below, there are some
of inferential main types and their uses.
Searches for relationship between variables
Important for the strength of the relationship between two
Important for the strength of the link between two ordinal
Tests for the strength of the connection between two
Important for the difference between two connected variables
Important for the difference between two independent variables
Used for the difference between group means after any
other variance in the outcome variable is accounted for
Important for how change in the predictor variable predicts
the level of change in the outcome variable
Vital for how change in the combination of two or more
predictor variables predict the level of change in the outcome variable