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The key points from this module are:

Classification of Data
The method of arranging data into homogeneous classes according to the common features present in the data is known as classification.The data are primarily classified into two types namely Numerical and Categorical.

Measures of Central Tendency
A Measure of Central Tendency is a single value that attempts to describe a set of data by identifying the central position within that set of data. The three most common measures of central tendency are the Mean, Median and Mode.

Measures of Variation
A Measure of Variability is a summary statistic that represents the amount of dispersion in a dataset.

The following are the various measures of variation:

-Range
-Interquartile Range
-Variance
-Standard Deviation

Measures of Association
The measures of association refer to a wide variety of coefficients that measure the strength and direction of the relationship between variables.

Association Between Categorical Variables
Categorical Variables are described by tabulating their frequencies or probability. If two variables are associated, the probability of one will depend on the probability of the other.

Chi square tests the hypothesized association between two categorical variables and contingency analysis allows us to quantify their association.

Association Between Numerical Variables
Two Numerical Variables have a positive linear association if high values of one variable tend to accompany high values of the other and low values of one variable tend to accompany low values of the other.