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Using Software for Analysis Grouping and Displaying Data to Convey Meaning
Computer software packages are available for applications of various statistical techniques like correlation coefficients regression multivariate analysis and the like. They facilitate complex analysis with great ease and tremendous speed. It is not always necessary for researchers to know computer languages or to write programs. They just have to learn how to use the appropriate programs as per the instructions contained in them.
Computer can be used for generating formal models of social systems for simulating the behaviour of persons groups of nations and for retrieving large amounts of documentary materials such as abstracts of journal articles.
The availability of computer has shifted the emphasis in social sciences from the study of univariate and bihvariate problems to the study of multivariate problems. To be efficient predictors social science theories generally need to be stated in multivariate terms. Before computer utilities multivariate technique were so tedious that they were not commonly used. The computer have now made these techniques accessible and practical and the potential uses of computer for research analyses stagger the imagination.
Assumption of F- Test The theoretical assumption on which F test is based are: 1.The populations for each sample must be normally distributed with identical mean
Classification of documents by information Characteristics: The schemes of classification advocated by Hanson and Grogan are mainly based on the information characteristics of
#question. A paper mill produces two grades of paper viz., X and Y. Because of raw material restrictions, it cannot produce more than 400 tons of grade X paper and 300 tons of grad
EXPLAIN THE OR TECHNIQUES
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#question.A paper mill produces two grades of paper viz., X and Y. Because of raw material restrictions, it cannot produce more than 400 tons of grade X paper and 300 tons of grade
Two Sample Tests In some situation the researchers may be taking statistical decisions based on two samples. Each of the two samples may represent a particular under con
Uses of Mode The use of the mode is recommended in the following situations: a.When a quick and approximate measures of central tendency desired. b.When the measure
User Groups: The next step would be to identify more specifically the potential user groups. This may be done on the basis of interviews, questionnaires, study of organisation
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