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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.
Yates Correction for Continuity for 2x 2Tables If any cell frequency in 2x 2 table isles than 5thenfor the application of X 2 test it is pooled with the preceding or suc
Question : (a) (i) What do you understand by the term "operations research"? (ii) Discuss three common operations research models. (b) Self-service at the university c
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
Panel Sampling Here the initial samples are down on random basis and information from these is collected on regular basis. Itis semi permanent sample where members may
Small Sample The central limit theorem does not work well with small samples even if the population in non Gaussian. So we cannot rely on the central limit theorem
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assignment problem through c programming
Ask questb. A Company produces 150 cars. But the production rate varies with the distribution. Production Rate 147 148 149 150 151 152 153 Probability 0.05 0.10 0.15 0.20 0.30 0.15
With practical example
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