Application, and Presentation of Statistics

First, the graphical analysis method is a typical visual aid applied in the representation of statistical data. For instance, the research study on the causes of death in the universe conducted by Max Roser and Hana Ritchie heavily relies on the use of tables, graphs, and charts to display quantitative data. The study looks forward to establishing the stimulators and annual causes of death in this world. It thus collects this information from across the globe. Their application of these visual assistance tools makes the audiences and the users of the research to form a clear and quick understanding of the data. One can see that the leading cause of death in the year 2016 from the global perspective was the related heart complications (Richie& Roser, 2018).

The other tool is the test of hypothesis, which s very resourceful in the collection of crucial information required for taking significant moves and arriving at a solid decision. As per Marchal, Linda, and Wathen, the test of hypothesis involves the use of pieces of evidence from the sample, together with probability theory in determining the truth of a given hypothetical proposition (Linda, Marchal& Wathen, 2017). For instance, Sears, Fishers, and Smith analyzed the hypothesis, to determine the correlation between the presence of tobacco smoke in the atmosphere and the risk attached as per the research. The three writers hypothesized that the rise in the aggregation of platelets and the formation of a clot in the blood due to the exposure to tobacco smoke among the test subjects increased their risks of cardiovascular diseases for up to a whopping 34% ( Marchal (Fisher& Sears et al., 2010).

Kalla and Wilson defined the last statistical tool, inferential statistical analysis, as the process of arriving at conclusions about a population parameter by analyzing the sample results of an experiment( Wilson& Kalla, 2016). For instance, a study got conducted in Minnesota across fourteen schools to establish how the physical exercises impacted the performance of the students. Those fourteen schools undertook and added physical body exercises into their school schedules. The results demonstrated that physical fitness would increase the performance of students in Mathematics by up to twenty-seven percentage and reading proficiency among students by an excellent twenty four percent. The researchers observed the target students fo three years. The investigators concluded that physical activities would lead to an improvement in the performance among learners. The study did not as well find any regression in the students' test scores de to the physical exercises. This application of sample results improves the reliability as well as the quality of the decision taken about a target population (Howatt, 2018).

References

Fischer, T., Sears, S., & Smith, C. (2010, April 01). Environmental Tobacco Smoke,

Cardiovascular Disease, and the Nonlinear Dose-Response Hypothesis. Retrieved January 24, 2020, from https://academic.oup.com/toxsci/article/54/2/462/1654166

Howatt, G. (2018, September 19). Exercise improves test scores, the study of Minnesota students

finds 14 schools incorporated physical activity programs in classrooms, plus yoga and other movements. Retrieved January 24, 2020, from http://www.startribune.com/exercise-improves-test-scores-in-study-of-minnesota-students/462406323/

Wilson, L. T. & Kalla, S. (n.d.). Inferential Statistics. Retrieved January 24, 2020, from

https://explorable.com/inferential-statistics

Lind, D. A., Marchal, W. G., & Wathen, S. A. (2017). Statistical techniques in business and

economics. (17th ed.). Retrieved January 24, 2020, from http://connect.mheducation.com/class/

Ritchie, H., & Roser, M. (2018, February). Causes of Death. Retrieved January 24, 2020,

from https://ourworldindata.org/causes-of-death