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  1. Marketing Research:

  2. Exploratory Research:

  3. Sales Analysis:

  4. Sales Quota:

  5. Iceberg Principle:

  6. Marketing Cost Analysis:

  7. Hypothesis:

  8. Research Design:

  9. Primary Data:

  10. Secondary Data:

  11. Database;

  12. Focus Group Interview:

  13. Experiment:

  14. Population: (universe)

  15. Census:

  16. Simple Random Sample:

  17. Stratified Sample:

  18. Cluster Sample:

  19. Nonprobability Sample:

  20. Convenience Sample:

  21. Quota Sample:

  22. Data:

  23. Information:

  24. Marketing Information System: (MIS)

  25. MDSS:

Papers

Marketing Research and Information Systems

Marketing Research:

Information function that links the marketer and the marketplace.

Exploratory Research:

Process of discussing a marketing problem with informed sources within the firm as well as with outside sources such as wholesalers, retailers, and customers and examining secondary sources of information.

Sales Analysis:

In&-depth evaluation a firm's sales.

Sales Quota:

Level of expected sales for a territory, product customer, or salesperson against which actual results are compared.

Iceberg Principle:

Theory suggesting that collected data in summary form often obscures important evaluative information.

Marketing Cost Analysis:

Evaluation of such items as selling costs, billing, and advertising to determine the profitability of particular customers, territories, or product lines.

Hypothesis:

Tentative explanation about some specific event; statement about the relationship among variables, including clear implications for testing it.

Research Design:

Series of advanced decisions that when taken together, comprise a master plan or a model for conducting marketing research.

Primary Data:

Information or statistics collected for the first time during a marketing research study.

Secondary Data:

Previously published data.

Database;

Collection of data that are retrievable through a computer.

Focus Group Interview:

Information&-gathering procedure in marketing research that typically brings eight to twelve individuals together in one location to discuss a given subject.

Experiment:

Scientific investigation in which a researcher controls or manipulates a test group(s) and compares these results with those of a group(s) that did not receive the controls or manipulations.

Population: (universe)

Total group that the researcher wants to study.

Census:

Collection of data from all possible sources in a population or universe.

Probability Sample: Sample in which every member of the population has a known chance of being selected. 

Simple Random Sample:

Basic type of probability sample in which every item in the relevant universe has an equal opportunity to be selected.

Stratified Sample:

Probability sample that is constructured so that randomly selected subsamples of different groups are represented in the total sample.

Cluster Sample:

Probability sample in which geographic areas or clusters are selected and all of or a sample within them become respondents.

Nonprobability Sample:

Arbitrary sample in which most standard statistical tests cannot be applied to the collected data.

Convenience Sample:

Nonprobability sample based on the selection of readily available respondents.

Quota Sample:

Nonprobability sample that is divided so that different segments or groups are represented in the total sample.

Data:

Statistics, opinions, facts, or predictions categorized on some basis for storage and retrieval.

Information:

Data relevant to marketing decision making.

Marketing Information System: (MIS)

Planned, computer&-based system designed to provide managers with a continuous flow of information relevant to their specific decision areas.

MDSS:

Marketing decision support system that links a decision maker with relevant databases.