Does Caffeine Affect Females Differently Paper
Added on 2020-04-07
1 Pages1722 Words49 Views
The paper aims to help in answering the research question: How Do Caffeine Affect Women and Men Differently? Moreover, it is useful in addressing the research hypothesis: Caffeine does not affect people of different ages in different ways. Therefore, the research is useful in the development of knowledge that can be used for further research. Alternate HypothesisCaffeine affects people of different ages in different waysReferencesEriksson, L., Byrne, T., Johansson, E., Trygg, J., & Vikström, C. (2013).Multi-and megavariate data analysis basic principles and applications. Umetrics Academy. Kutner, M. H., Nachtsheim, C., & Neter, J. (2004).Appliedlinear regression models. McGraw-Hill/Irwin. Lean, M. E., & Crozier, A. (2012). Coffee, caffeine, and health: what's in your cup?.Maturitas,72(3), 171-172. Nehlig, A., & Boyet, S. (2000). Dose-response study of caffeine effects on cerebral functional activity with a specific focus on dependence.Brain research,858(1), 71-77. Introduction StudyThis lead to the nullification of the null hypothesis, Caffeine do not affect people of different ages in different ways, for the alternate hypothesis, Caffeine affects people of different ages in different ways. More research should, therefore, be undertaken to determine how the influence caffeine has in the body can be gender-based.Null HypothesisCaffeine do not affect people of different ages in different waysCaffeine as a stimulant can be addictive. People tend to respond to the long exposure to caffeine differently. The differences that arise are based on the age of the responses and in some cases the gender of the respondents. In this case,the age of the respondents revealed that caffeine would influence the people of different ages differently. The results model illustrates the in-depth analysis of the statistical requirements necessary for the development of the information. The study was useful in the development of data insights that show the relationship between the different variables present in the study.Through linear regression model, it was determined that age variable could have an impact on the nature that caffeine may have in the body. Further, another independent variable like GNG, Choice, simple and experiment time all had positive regression relationship in respect to age. It is therefore useful for the data analysis and the social scientists to further the study by looking into how the gender variables would play roles in the determinationof the impacts that caffeine would have in the body. Finally, the correlational analysis was also undertaken. Most of the variables presented the positive correlations, showing that the independent variable had influences in determining the impact of the dependent Results DiscussionThe methods used in explaining the contents of the study comprised majorly of the methods of statistical dispersion. Analysis of the mean, variance, standard deviation, and median are all useful in providing the preliminary analysis of the data used in the study. The study is also useful in the development of an understanding of the content variables that may have a significant influence on the study. The methods found out that the number of the participants were not based on age or gender and any other factor considered in the study. Research ResultsMoreover, it is based on previous views, and studies presented by other authors and researchers like Nehlig and Boyet, 2000, Satel, 2006 and studies by Lean and Crozier published in the year 2012. Further, the paper also streamlines with the studies of Selvin if the year 2004 and Salkin publication of 2016.Method UsedAbstractThe paper focuses on the understanding of the impacts that caffeine would have in the body. The paper aims to draw the attention of the researcher to the possible ways in which caffeine could differently influence the male and the female. However before that level is reached, the paper first aims to address how different persons would respond when exposed to caffeine. One sample of the group is not treated to caffeine,and another is treated. The way in which the two groups of people respond to caffeine is useful for the understanding of the concept. The research uses various statistical analysis methods to presents data. Descriptive analysis methods like mean, mode, standard deviations and variances make up the initial research method model. Deeper linear regression, correlation, and ANOVA studies make the second data analysis. The results discussions and conclusion is then givenHow Does Caffeine Affect Women And Men Differently?Name:Institutional Affiliations
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