Misrepresentation of Data: How It Affects Collection and Interpretation of Data (Essay Sample)

Data Misrepresentation
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Introduction
Misrepresentation of data is an apparent error that often occurs in statistics. The margin of errors might be provided for, but often the error is huge such that it changes the interpretation and outcome of the data represented. Misrepresentation of data might be caused by incompatible definitions, or genuine errors by the statistician. The realistic view on the interpretation of the data shows the error despite having realistic parameters misses the meaning. The importance of accuracy in statistics allows for accurate interpretation within a given dataset that represents a whole population. Data as a point of reference for interpretation is crucial since it helps explain certain complex issues in the world. This essay analyzes certain misrepresented datasets and examines alternative theories on representing data correctly.
Planned parenthood misrepresentation of data
In September 2015, the president of the Planned Parenthood Organization Cecile Richards was questioned regarding the misappropriation of over $500 million in federal funding. A chart drawn up on their website indicated that abortions had increased from the early 2000s to late 2012. The data represents only a reduction in breast exams and an increase in abortion rates. The data intended to divert attention from the higher cancer screenings to the increased abortion rates reported in the chart. The reported cases of cancer screenings are 953,573 while the abortion rates are 327,000; hence the chart has no justifiable placement on the distinctive