explain any three characterstic of classification
Answers
Explanation:
Classification of data must be unambiguous. Various classes should be so defined that there is no room for doubt for confusion. Classification should be done in such a manner that each and every item belongs to only one class. This implies that different classes should not overlap.
Answer:
Clarity : There should be no uncertainty or ambiguity as to which class or group the collected data is to be kept in.
Stability : To make the data suitable for comparison and to meaningfully compare the results, it is necessary that the classification has stability.
Extensiveness : The various classes should be created in such an extensive manner that no data-item from the collected data is left out and is necessarily included in some or the other class. If required, a miscellaneous class can be created; i.e. while creating classes on basis of marital status, widower, widow, divorcee, etc. cannot be included in married and unmarried classes. Hence, classification should be complete and extensive.
Suitability : Classes should be created in accordance with the objectives. As, in order to know the financial status or saving tendency of people, it would be suitable to create classes on basis of income.
Flexibility : The classification should be flexible enough to accommodate change, amendment and inclusion in various classes in accordance with new situations.
Homogeneity : Units of each class should be homogeneous. All the units (data-items) included in a class or group should be present according to the property on basis of which the classification was done