Formulation of relevant hypotheses and models, Operation Research

Tentative explanations when formulated as propositions are called hypotheses. It is very important to state the hypothesis and its anticipated consequences before starting its verification. The formulation of a good hypothesis depends upon the sound knowledge of subject matter. A hypothesis must provide an answer to the problem in question. It must be capable of verification. Otherwise it may be refuted by empirical evidence.

Posted Date: 3/20/2013 3:48:07 AM | Location : United States







Related Discussions:- Formulation of relevant hypotheses and models, Assignment Help, Ask Question on Formulation of relevant hypotheses and models, Get Answer, Expert's Help, Formulation of relevant hypotheses and models Discussions

Write discussion on Formulation of relevant hypotheses and models
Your posts are moderated
Related Questions
Z-Test Prof. Fisher has  given a method  of testing the significance of the correlation coefficient in small  samples. According  to this method the  coefficient of correlation

assignment problem through c programming

Maximize Z = 2x - 7y subject -2x + 3y = 3 4x + 5y >= 10 6x + 7y 4x + 8y >= 5

This assignment requires you to evaluate a product from the view point of quality, both quality of design (as perceived by the user) and quality of conformance. To ensure that we a

in a rectangular game pay off matrix of player a is as follows B1 B2 A1 5 7 A2 4 0 salve the game write down the pay off matrix of B and then solve the ga

a)Draw a network for the project. b)Determine the critical path. Activity Duration Activity Duration 1-2 15 5-10 22 1-3 13 6-9 33 1-4 1

what is the job scope in or?

Question: (a) Discuss briefly the four basic components of any queueing system. (b) Explain what you understand by the following models: (i) (M| M | 1 : N | FCFS) (ii

line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residualon..

Two Sample Tests In some  situation the researchers may be taking  statistical decisions based on two samples. Each  of the  two  samples may  represent a particular under con