In extrapolative forecasting we predict the future by extrapolating a historical trend. What has happened in the past determines what is forecast for the future [with other forecasting methods, such as exploratory forecasting, this need not be so. For example, with exploratory forecasting we can explore revolutionary, as well as evolutionary, scenarios]. In some circumstances it is right to use extrapolative forecasting. In other cases different approaches might be more suitable. It is not an appropriate approach to use in a new product/ new business situation, or in situations where circumstances have radically changed, and the past is no guide to the future. Any time series [a series of numbers recording past events] will have been produced by the interaction of a number of variables. For example, a time series of a company’s past profits will have been produced by a complex process, which involves an interaction between multiple revenue Continue reading
Business Research Techniques
Meaning of Sampling and Steps in Sampling Process
Sample and Sampling A Sampling is a part of the total population. It can be an individual element or a group of elements selected from the population. Although it is a subset, it is representative of the population and suitable for research in terms of cost, convenience, and time. The sample group can be selected based on a probability or a non probability approach. A sample usually consists of various units of the population. The size of the sample is represented by “n”. A good sample is one which satisfies all or few of the following conditions: Representativeness: When sampling method is adopted by the researcher, the basic assumption is that the samples so selected out of the population are the best representative of the population under study. Thus good samples are those who accurately represent the population. Probability sampling technique yield representative samples. On measurement terms, the sample must Continue reading