Data Classified According to Function:

Data Classified According to Function: Data are also classified according to their functions while planning data the researchers anticipate the future analysis and synthesis according to their function. They try to avoid redundant data and collect necessary data. Data according to function may be causal pay off descriptive and classification.

a. Causal Data : Causal data reveal the cause and effect relationship. One hypothesis is measure in terms of effects. Data required to measure the hypothesis are termed causal data. Such types of causal data are required in the marketing mix. They are used for experimental purpose in all the fields of marketing variables.

b. Pay off Data : The payoff are resultant data. They are the outcome of certain causal data i, e results of certain phenomenon. The causal variables are measured in terms of payoff or effects. This means that payoff data are required to measure the causal variables.

c. Descriptive Data : There is need of such types of data which may describe the situation statement and facts. Even in the case of experimental data one variable requires to be controlled for which descriptive data are used. In such a cases a description of the samples is needed when drawing conclusions.

d. Classification Data: In sophistication experimental design the compound data have been classified to arrive at simple analysis and conclusions. The classification data i e. The data classified in relevant categories are conceivable and may be easily described. The classification data in complex and multiple groups i, e, more than one causal variable or rotation of treatments in sub groups have functional utility. The sample survey also provides classification data e. g, according to age, sex, income , location etc,