Like in many other scientific research works, results presented in this article illustrated the primary findings of a study. The results effectively present the finds in a logical manner and without any biases. The authors of the article did not try to interpret it in a way that would set their readers to later evaluation and interpretation in the discussion section. The result section also effectively broke down data into more straightforward sentences and hence enabling readers to understand the importance to the research topic. The result section of this article also appeared third in sequence, and it also follows the Methods and Material section. Although many other research papers present their results section together with the discussion section, that was not the case in this article. The authors chose to break the two section probably for the purpose of clarity.
Considering the three groups that took part in the research, there was no big difference among them in relation to their historical type. However, in group C, there was a high presence of some tumor characteristics. In most cases, such characteristics are known to influence breast cancer prognosis in a negative manner. Data presented was analyzed based on the p< .05. monovariate analysis that was conducted on the basis of t test or 1-way Anova in case of chi-square test or continuous variability. Some of the data in the result have been presented with a 95 percent confidence interval. One statistical tool that has been used extensively in the results section of this article is the arithmetic mean. The mean sometimes also referred to as the average, is calculated by dividing the sum by the total number of units. For instance, to determine the average number of women who smoke tobacco, the number of women who actually smoke tobacco - 12 - is dived by the total number of women who participate in the research - 151-.
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Although the arithmetic mean is quite useful in helping to determine the trend of data, I, however, found it confusing as it is related closely to the median and the mode. This, therefore, means that it can be a very dangerous tool when used alone. Additionally, if the result presented in a figure has been tested by use of an inferential test, then it would have been crucial to summarize it in a graph so as to enable the reader to easily understand the importance of the findings.
