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Variables
A concept which varies is variable. These can be different in quantitative values. For example, weight, height, income are examples of variables. Qualitative phenomena are also qualified on the basis of the presence or absence of the attributes. Phenomena which can take on different values even in decimal points are called continuous variables. If these are explained or expressed in integer values these are discrete variables. Age is an example of continuous variable. Number of children is an example of discrete variable. If one variable is dependent on the consequence of another variable it is a dependent variable and variable which is antecedent to the dependent variable, it is termed as independent variable. For example height depends on age. Here height is dependent variable and age is independent variable.
Frequency Distribution Graphs Frequency distribution graphs may be histogram frequency polygon frequency curve ogive curve. 1. Histogram The histogram is draw f
how to use the hungarian method
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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Minimization Example A farmer is advised to utilize at least 900 kg of mineral A and 1200 kg of mineral B to increase the productivity of crops in his fields.
In a rectangular game, pay-off matrix of player A is as follows: Player B B1 B2 Player A A1 A2 i) Solve the game. ii) Write down the pay-off matrix of B and th
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Each day you own 0 or 1 stocks of certain commodity. The price of the stock is a stochastic process that can be modeled as a Markov chain with transition rates as follows
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