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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.
Simple Line Graphs a. Simple Histogram A simple histogram is a techniques used plotting a time series on the graph paper. The data are arranged according to the time
nature and types of problems
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Stratified Sample Size The sampling study has depended much on the stratified sample to reduce the sampling error, samples size may have a number of strata or cluster
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Solve the following Linear Programming Problem using Simple method. Maximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0
Importance of Normal Distribution Normal distribution plays a very important role in statistical theory and in particular in sampling theory. It has been found th
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 in
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