Data Collection & Expansion of Microcomputer Capacity

A PROPOSAL FOR THE COLLECTION, PROCESSING, ANDINTERPRETATION OF DATA IN SUPPORT

This research describes in general terms a proposal to collect, process, and interpret data in support of a growth strategy for a light manufacturing organization. Within this proposal, justification is provided for the expansion of the organization's microcomputer capacity, and a description is presented of the quantitative analytical procedures which will be used.

The data required to develop and implement the growth strategy will be collected through the conduct of marketing research. Marketing research is analogous to production research, involving the search for more efficient means of marketing goods and services, as well as the development of new and better methods of marketing. Marketing research, therefore, covers, to some extent, the operations of distribution networks, sales effectiveness, the efficiency of advertising and promotional activities, the finding of new markets for products, the development of products which satisfy human wants and needs, and the development of product strategy.

The major focus of marketing research by private sector organizations is the measurement of market potentials, the conduct of market share analysis, and the determinations of market characteristics. Additionally, however, marketing research may also be related to the development of new products, and to the monitoring of the products of compet

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and, is a general statistical technique through which one can analyze the relationship between a dependent or criterion variable and a set of independent or predictor variables. Multiple regression may be viewed either as a descriptive tool by which the linear dependence of one variable on others is summarized and decomposed, or as an inferential tool by which the relationships in the population are evaluated from the examination of sample data. Multiple regression is used as a descriptive tool in three types of situations, as follows: (1) to develop a self weighting estimating equation by which to predict values for a dependent variable; (2) to control for confounding variables so as to better evaluate the contribution of other variables; and (3) to test explicit causal theories. Multiple regression is used as an inferential tool in hypothesis testing. In the testing of hypotheses, multiple regression provides the data by which researchers may either reject or not reject the null forms of the hypotheses being tested. If the null form of an hypothesis is rejected, then, by inference, the hypothesis may be accepted; and, conversely, if the null form of an hypothesis cannot be rejected, then, by inference, the hypothesi

Category: Science - D