A common misconception is that statistics provide a measure of proof that something is true. Instead, statistics provide a measure of the probability of observing a certain result. It is easy to misuse the statistics in data analysis even to the point of misconception because statistics do not introduce systematic error which can be introduced into the data intentionally or accidentally. There are many associated variables in statistical numbers that the person analyzing the data does not see, and without further explanation or supportive data, one can easily come to the wrong conclusion and the scientist data could be presented as facts rather than probability. If the source from which the data was gathered was not factual, then this will reflect a statistic that is misleading, biased, and based on false information, but those persons who might later interpret the data had no idea that the source was not factual, and as a result wrong information is publicized. Because statistics deal with numbers they often seem to be more convincing and less suspicious of false claim than descriptive arguments, but numbers can be easily manipulated in favor of someone’s opinion.…