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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.
USE SIMPLE METHOD TO SOLVE THE FOLLOWING LPP MAXIMISE Z=4X1+10X2 SUBJECT TO CONSTRAINS, 2X1+X2 2X1+5X2 2X1+3X2 X1, X2>0
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
give me an example of pre-modelling, modelling and post modelling phases
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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
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Higher Order Table When three or more characteristics are represented in the same table such a table is called higher order table. The need for such a table arises
These models have been developed to establish a trade off between costs of providing and the waiting time of a customer in the queuing system. Constructing a model entails desc
Tentative explanations when formulated as propositions are called hypotheses. It is very important to state the hypothesis and its anticipated consequences before star
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