Comment One
This comment seeks to respond to a choice by a student to talk about the use of statistics in showing the use of higher-level mathematics in the job market. Many are the times that you study all that algebra, calculus statistics, and all that advanced math, which leaves you wondering, where will I ever apply these in life? Well, statistical data has done an excellent job bringing out the applications of these brain wracking problems in the career path.
The chart used to depict this statistic has is clearly labeled, which is one of the most important characteristics of the proper use of the statistic. Anyone studying this graph will be able to easily see the professions that intensively make use of higher-level mathematics. As such, one can say that the best blue collar jobs in the market are heavily reliant on the knowledge of a high-level mathematical literacy.
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From the given statistics, it is clear that not only does the upper blue collar jobs require literacy in the higher-level math, but so does the top white collar jobs, lower white-collar jobs, and small blue collar jobs, although this is at varying levels. The chart has done justice to students whose interests are changing among all these fields by explicitly showing to what level these areas require literacy in higher-level math. In conclusion, this is a right choice of proper use of statistical methods. The axis of this graph is clearly labeled. Unique colors have differentiated the various career fields, all having clear labels. All these are just but some of the most aspects of a good statistical use ("Higher-Level Math Use By Job Type Graph | Speaking of Precision Blog", 2016).
Comment Two
The second comment is that of a college football team, the Florida Gators.As such, the data provided in a statistical method is a reliable source. In this case, the data provided for the Gators is from the ESPN, a site which is heavily reliable when it comes to the data used in sports. Only to say that the data provided regarding each player is accurate and can be used to rate the actual performance of the team.
Second, the statistics, in this case, is clearly differentiated into passing, statistics, rushing, receiving and kicking statistics. For each of these categories, the performance of the players being separated into all the necessary groupings, and the performance of the players in each of these is available. With this statistic, it is possible to rate the best player as per each of the categories.
With this statistic, it is evident that Luke Del Rio is the best in the passing category, Jordan Scarlet is the best in the Rushing statistic, Antonio Callaway is the best in the receiving group, and Eddy Pineiro dominates in the kicking category. Needless to say, this is a proper use of statistical methods. The chart used has been clearly labeled, and according to the provided date, this is the latest data for the Gators and is thus the best to use for the rating of the team (GamesEnduranceCFL et al., 2016).
However, these are just examples of the proper and appropriate use of statistical data. In both of these cases, the data has been accurately represented and demonstrated as per the best method for each instance.
References
GamesEnduranceCFL, &., Sports, O., FB, R., BB, R., Olympics, S., & Games, X. (2016). Florida Gators 2016 Statistics - Team and Player Stats - College Football - ESPN . ESPN.com . Retrieved 2 October 2016, from http://www.espn.com/college-football/team/stats/_/id/57/florida-gators
Higher-Level Math Use By Job Type Graph | Speaking of Precision Blog . (2016). Pmpaspeakingofprecision.com . Retrieved 2 October 2016, from https://pmpaspeakingofprecision.com/tag/higher-level-math-use-by-job-type-graph/
