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Statistics, graphics, and database are used in medical field to prove, or disapprove theories, analysis, and interpretation of ailments, medication, and how it impacts one's treatment and its effectiveness. However, this data can be easily misinterpreted when and where there is a vested interest. Individual opinions are generalized mainly without considering the whole aspects of an issue, and therefore forming a biased opinion.

Data can be misguiding if the example of the case study is not done properly. A random selection without background knowledge or without specified criteria leads to misinterpretation of the data. Another cause of misinterpretation is difference in origin and association. For example, variables after another but one variable does not cause another. One of the manipulated areas in medical world is pharmacy. Pharmaceutical companies use misguided data in competitive markets.

Generic medicines for same purposes are branded out and to advertise it misguiding database is used. The most important thing to be considered while interpreting or predicting an outcome of a statistical analysis is a well-balanced and well selected population. Samples is to be selected considering different aspects of the problem so that the result will not be biased.

This demands the proper understanding of the statistical tools and how to select the sample population. However, the sample size should be sufficiently large enough to get into more definite conclusions to prove or disapprove such theories, and analysis of the information needed.