Information-Accuracy Relation in Chemical Studies

The main aim of most scientists is discovering the nature by measurements and exploiting the basic hidden rules in universe. Chemist has also been involved in solving chemical problems. How much is the solution of a chemical problem accurate? When one don’t know anything about the problem then everything is the solution and there is an unbounded range of possible solutions for the problem. Relevant information can improve the accuracy of the solution. Efficient knowledge can reduce the range of accuracy to precision interval of true solution. A solution can be unique but not necessarily true. Incorrect information can produce the unique but not true solution.There is a range of possible solutions for the results of analyzing any experimental measured data. In the presence of adequate knowledge this range represents the precision of true solution. In most real chemical studies the available information is not enough for reaching to accurate solution. Therefore the results of any chemical studies should be presented as a range of feasible solutions which this range is directly dependent to available relevant information.The relation between accuracy of the results and the information which has been applied in solving the problems can be visualized in many real examples. In this contribution we have reported several hard and soft modeling chemometrics methods to show the impact of using correct chemical information to obtain more accurate results.