Histograms Essay Example | Topics and Well Written Essays - 500 words

Histograms - Essay ExampleNotably, histograms be indispensable in tabulating and analysis of data acquired from the sharp quotient defecates of both males and feminines varying results. In addition, it gives details on the mean, minimum, maximum, standard deviation, class width and skewness of the sizable quotient scores of both male and females. Considerably, histograms are significant in showing the distribution of data thus, it is essential to establish the differences that occur in the intelligent quotient scores of both male and females.More than often, female are agreeable and open with their feelings as compared to their male counterparts who are assertive. As a result, the intelligent quotient tests that require details on information about a persons openness, empathy and facial expression make females more likely to score super than males, because in nature, they give detail information and are adept in verbal communication. On the other hand, the male will give less information and as a result, score poorly in the intelligent quotient test. In addition, the memory holding capability of both males and females differ because the male counterparts have the ability to recall encounters masculine in nature and scores highly as such, if the intelligence quotient test asked are dealing with events of masculines nature. On the other hand, females have the ability to remember experiences, faces and names of individuals and places (Garlick, 2003). As a result, female participants score highly in intelligent quotient tests that incorporate questions dealing with remembering events and experiences they encountered before hence scoring highly than their males counterparts.Extensively, males are proficient in things that involves mental rotation and mathematical in nature (Dykiert, Gale & Deary, 2007). As a result, tests set with mathematical calculation makes the males comfortable and tackle them with much ease and score highly than the females. In addition , many