As such, the implication is that the study used random sampling technique.

Just as Huff (2010) points out, it is quite hard to get all members of Yaleman, class of “24”. For reliable data, the sample size selected ought to be sufficient to represent the whole class adequately. Possibly, the study should have chosen a number of members of the Yale man, class of “24”. To begin with, one can see that the statistics came from a study. In doing this, the emphasis is on examining the method used to come up with the data as well as establishing any form of bias in both the process and data itself. Considering such a high amount, it becomes necessary to look into the statistics once more. The statistics for this group indicate that all members of Yaleman, class of “24” make a total of $ 24,111 (Huff, 2010). From the article, one finds the statistics on the class of “24”, Yale. However, there is a need to have honesty writers as well as understanding readers for any statistical results to be valid and away from semantic nonsense. It is worth noting that statistics contains a secret language, whose purpose include among others sensitization, inflation, cause confusion as well as oversimplification. As such, the primary aims of this paper shall be discussing the article in areas touching on methods used to obtain the given statistics and establish chances of biases in the method and the study. This paper will seek to offer insights on an example of statistics presented in the article, “How to Lie with Statistics.” The author of the article asserts that, even though, trends and graphs are some of the most used data representation methods they may not represent the actual and real situation (Huff, 2010). Was the method used reliable, did it offer a chance for a complete representation of the study sample? Such questions are essential in establishing the credibility and reliability of any given statistics. However, what many people never think about is the method that used to come up with particular statistics. For this reason, many people always find information that is supported by statistics to be utterly real. Nowadays, the use of statistics has been a common way of giving evidence of a particular study (Wilson, 2005).

How to lie using statistics