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CORRELATION
Correlation is the study of the liner relationship between two variable when there is a relationship of quantitative measures between two set of variable the appropriate statistical tool for measuring the relationship and expressing each in a precise way is known as correlation. For example there is a relationship between the heights and weights of persons demand and prices of commodities etc.
According to W.I. King Correlation means that between two series or groups of data there exists some relationship connections.
According to croxton and Cowden" The appropriate statistical tool for discovering and measuring the relationship of quantitative nature and expressing it in brief formula is known as correlation.
The coefficient of correlation measures the degree of relationship between two set of figures. As the reliability of estimates depend upon the closeness of the relationship it is imperative that utmost care be taken while interpreting the value of coefficient of correlation otherwise fallacious conclusion can be draw.
After testing the model and its solution the next step of the study is to establish control over the solution by proper feedback of the information on variables which deviated
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
a practical example
undertake the proposed research investigation in accordance with the agreed specification and procedures
What is The proper meaning of action phase will u help me to lern it in deeply????
Sequential Samplin The previous has shown that the sampling units were drawn prior to the drawing of the actual sample and has a fixed size. But the sequential sa
application&techniques
In a business, statistics is used to study the demand and market characteristics of the product or service being sold. In fact, market research
Deriving the Solution from the Model: This phase is devoted to the computation of those value of decision variables that maximize or minimize the objective function. Such
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