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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.
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
Advantages of Mode a.It is easy to understand as well as easy to calculate. In can be found out by inspection. b.It is usually an exacta value as it occurs most fre
A paper mill produces two grades of paper viz., X and Y. Because of raw each) material restrictions, it cannot produce more than 400 tons of grade X paper and 300 tons of g
Introduction to Probability Distribution By theoretical distribution we mean a frequency distribution which is obtained in relation to a random variable by some mathem
WHOM DO YOU THINK RAJENDER WILL EAT WITH? WHY?
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BINOMIAL DISTRIUBITON This distribution (also known as Bernoulli distribution ) is useful in such an experiment where there are only two outcomes success or failure g
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