Statistical data analysis is the systematic recording of events and occurrences that serve various purpose on interpretation. However, misrepresentation of factual accounts occasioned by misreporting has at times underscored the importance of analyzed data. This assignment discusses five such articles that have applied suspicious data in their analysis.
Paul Homewood’s blog on Problematic Adjustments and Divergences published a graphical representation of temperatures for three weather stations in Paraguay. This was in comparison with initially recorded temperatures. It is particularly disturbing that statistical global warming data from all other statisticians show cooling trends for the past 60 years while his account illustrates dramatically remarkable warming. His graphical misrepresentation differs with the entire official surface-temperature existing records. As an expert observer, Paul Homewood misrepresents the situation of Global warming (Paul 2017).
The article on The New York Times on a Study Supports Suspicion That Police Are More Likely to Use Force on Blacks by Timothy William is based on unfounded data. Its researcher admits not to have gathered enough data on specific police shootings that lead him to conclude that racial disparities are the primary reason for the brutality. It establishes that the use-of-force rate for black residents averages at 3.6 times higher compared to 2.5 times for white residents. This is in actual sense 46 persons for every 1,000 arrests. Based on this negligible and inconsistent generalized data, the article assumes that the 46 persons are all from the black community and draws up a very critical conclusion. Its lack of specified data casts doubts into the entire statistics and analysis that leads to its conclusion (Williams, 2016).
UNICEF’s website has published a journal on Sustainable Development Goals Report 2017. The data demonstrate an ever-increasing number of school enrollments achieved in Africa each year. However, independent surveys from human rights activists such as Mkenya Daima have demonstrated a complete contrast. In fact, according to Mkenya Daima, average enrollment is one-third of the entire population in 53 surveys. This is 3.1 percentage points lower than as reported by administrative data in across 46 surveys in 21 African countries. According to UNICEF, the data is drawn from various African governments. It is counterproductive to depend on government data from the same government that seeks to attract investors using the same data. The administrative data is biased.
One of the most tragic incidences of statistical reporting is the Sunday review’s skewed economic averages. For instance, the average income in Steubenville was $46,341 for 7,878 households. In the same year, the combined consumption of Warren Buffett and Oprah Winfrey was estimated at $ 67, 385. When Numbers Mislead article states that if the two relocated to Steubenville, average income would rise by 62 percent. This presents $75,263 per household. However, income and consumption are interdependent functions that cannot be summed up as the article suggests. It is an overly false misrepresentation of microeconomic statistical data and analysis. It that lack basis in microeconomic concepts (Jenkins, 2017).
Jeffrey Leek’s report of medical journals shows a positive rate in analyzing the medical literature by medical journals at 11percent. At that rate, Leek concludes that medical research literature is dependable. He credits the Biostatistics journal that relies on an analysis of values based on assumptions. Jeffrey vaguely validates the reliability of medical studies based on assumed values. Assumptions cannot be used to draw concrete results especially in the medical field where accuracy is paramount.
Jenkins H. (2017). When Numbers Mislead. Retrieved December 7, 2017, from http://www.nytimes.com/2013/05/26/opinion/sunday/when-numbers-mislead.html
Jeffrey Leek. (2017.). Biostatistics journal Retrieved December 07, 2017, from https://www.sciencenews.org/blog/context/there%E2%80%99s-something-suspicious-about-using-statistics-test-statistics
Paul Homewood’s. Problematic Adjustments and Divergences (Now Includes June Data). (2015, August 14). Retrieved December 07, 2017, from https://wattsupwiththat.com/2015/08/14/problematic-adjustments-and-divergences-now-includes-june-data/
The Sustainable Development Goals Report 2017 – UNICEF.
Working Paper 373. (2014, July 14). Retrieved December 07, 2017, from https://unstats.un.org/sdgs/files/report/2017/TheSustainableDevelopmentGoalsReport2017.pdf
Williams, T. (2016, July 07). Study Supports Suspicion That Police Are More Likely to Use Force on Blacks. Retrieved December 07, 2017, from https://www.nytimes.com/2016/07/08/us/study-supports-suspicion-that-police-use-of-force-is-more-likely-for-blacks.html