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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.
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A paper mill products two grade of paper viz., X & Y. Because of raw material restriction, it cannot produce more than 400 tons of grade X paper & 300 tons of grade Y paper in a we
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 Y paper i
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Individual User Interests: More specific information about users could cover the following: Subjects and associated interest - e.g. specific subjects, allied subjects;
a)Draw a network for the project. b)Determine the critical path. Activity Duration Activity Duration 1-2 15 5-10 22 1-3 13 6-9 33 1-4 1
Ask question #Minimum 100 woRead this article and then write a three-page summary of the application (problem definition, objective function constraints, decision variables, etc.)
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