Exact measurement of item is given in
Discrete series does not take into account any fractional value. Thus, it is formed from items which are exactly measurable.
Orderly arrangement of data according to magnitude is called
Data is aggarged in either ascending or descending order. Information for every individual item is recorded.
Each given interval is called a
Difference between upper and lower class limit is called class interval. For example, 0-10, 10-20, 20-30 etc.
Data classified according to some characteristics that are capable of direct measurement is called
In quantitative classification data is classified according to some characteristics that are capable of direct measurement such as weight, height, income, marks etc.
The quantitative character of an item is shown by
Heights and weights of individuals are variables as they can be measured in numerical terms. Thus, variables are used when changing characterstics are numerically measured.
Arrangement of data into different groups is known as
Classification is the process of arranging things (either actually or notionally) in the groups according to their resemblances and affinities and gives expression to the unity of attributes that may subsist amongst a diversity of individuals.
More than one attribute are present simultaneously in case of
Under manifold classification, instead of forming two classes, we further divide the data into sub parts and this process continues.
Classification of data is the grouping of raw data under different
Classification is concerned with the division of the data into various groups and sub groups. Data is classified into groups of different headings.
Data is classified to facilitate
After grouping of collected data according to their identity or similarity, it becomes easy to compare the features of different groups.
After collection of data, the next step is
Classification is the process of arranging data into different groups or classes. Classification of data is done after collection of data.