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Types of Correlation
1.Positive Correlation : When the values of two variables move in the same direction .e. when an increase in the values of one variables is associates with an increase in the values the value of other variable and a decrease in the values of one variable is associated with the decrease in the values of the other variable correlation is to be positive. For example heights and weights income and expenditure of a groups of individuals prices and supply of commodities.
2.Negative Correlation: The values of two variables move in opposite directions, so that with an increase in the values of one variable the value of the other variable decrease and with a decrease in the values of one variable the values of the other variable increase, correlation is said to be negative. For example when prices increase demand goes down. Thus there is a negative correlation between these two variables i, e, demand and supply.
formulate the linear programming model of the table above
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#use the simple method to solve the following L.P.P. Maximize Z =4X1 +10X2 subject to constraints, 2X1 +X2 2X1+5X2 2X1 +3X2 X1,X2 > 0
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
Books a. One author : Authors last name first name title of books place of publication: publisher copyright data page numbers used. b. Two Author : First author la
undertake the proposed research investigation in accordance with the agreed specification and procedures
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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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