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Misleading statistics

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In this case, Vitamin E will be independent whereas cancer and heart diseases will be dependent variables (Best 2004). Multi-regression analysis in this case will involve either the use of SPSS software of determination of the sum of squares between XX as well as between YY. Given the independent and two dependent variables, the following equation for multi-regression analysis is applicableIn conclusion, many people make ambiguous statements that are detached from their statistical proofs. It is usually important for statements especially in medical fields to be accompanied by relevant data in which the argument is based. For instance, in this scenario though some antioxidants have been used in fighting cancer and heart diseases, it does not follow automatically that Vitamin E being an antioxidant will be effective in fighting the same health conditions. In future, any claim especially in the medical field should be accompanied with relevant data.Many researchers have a weakness in making their conclusions following a study on a particular research. Previous studies have indicated higher number of adults not using sunscreen. However, this does not mean that all adults do not use sunscreen. In any case, most of these studies have based their conclusions on given samples, which may not be adequate enough to represent the entire population. Consequently, there is serious need for researchers to engage in finding appropriate confidence and significance levels that make their results authentic hence comparable to the whole population. Lower confidence and significance levels usually result into increased biasness of data as provided for by researchers.Most articles are usually developed after conducting a series of research or study that employ sample data. Sample data is used in representing a given population (Best 2004). The mistakes most researchers make is assuming that since the sample employed posses a given feature then it becomes obvious that the population will also have the same feature without providing a room for any critique. In this case, probably the 71% was the percentage of adults who were not using sunscreen in the sample. It will be misleading to conclude that the entire adults do not use sunscreen without giving proper significance level in which the study was conducted. What’s more, the researcher ought to have given a statement relating the conclusion with the sample (Gelman and Nolan 2002). For instance,
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