Friday, March 27, 2020

Systematic Error in Chemistry Research

Systematic Error in Chemistry ResearchThe significance of systematization has to be understood for any management system that aims at developing strategies that meet the demands of scientific research, as well as ensure that the research results will be useful in management decision making. As we all know, every science can only be applied scientifically by employing the different methods of research and development.Systematic error comes into the picture when the scientists design the experiments and the procedures with the intention of generating results to make themselves relevant and interesting. Systematic error will take place in the following way: the researchers to design an experiment and attempt to acquire an accurate result, so that they will have found the variables that will influence the outcome of the experiment. For instance, if the experiment was designed in a way that the second stage would control for the first stage, then it will not be very important for the resu lts to be accurate as the other factors will be eliminated from the analysis, which may mean that the other factors are more important than the first stage.The existence of systematic error in the scientific method is only a reflection of the ignorance of the scientists and their lack of confidence about their own discoveries. It can take place when the scientist plans the experiment without considering the possible negative impact of the planned experiment on the outcome of the experiment. The results of the experiment will still be accurate and useful to the researcher, but they will not be the ones that he is looking for. However, the results will still appear in the report and in the scientific journal, but they will represent only a small part of the whole experiment.A crucial point is that systematic error is still possible even when the scientists understand the purpose of the experiment. For instance, if the experiment is being conducted to explore the possibility of a new d rug, the first stage of the experiment should not include subjecting a number of animals to an electric shock or using the standard procedure of injecting the rats with a chemical substance. These options should be avoided as the discovery of a particular compound in the process will make the entire experiment invalid. Once again, this might make a certain part of the experiment appear in the report of the experiment and in the journal, but will not make a part of the entire research very useful.Another important point is that systematic error is not just limited to science, but also to many other forms of research. For instance, when the same systematical errors can occur in a cardiology study and an experimental pharmacology study, they will appear as the two types of medications for the same problem. The number of people involved in the study will give additional power to the chance that the results will be valid, but this is simply because of the number of variables that need to be considered, which is rather complicated and involves many factors.To prevent systematic error, there are a number of points that can be looked at. First, one should try to determine what the problem is in the first place; if there is a significant part of the sample that is missing, the problem is not in the sample itself, but in the sample in the hand.Second, it is very important to understand that the end product of the research is still valuable, it is just that the procedure used has made it less so. When the next scientific journal publishes the findings, they will be corrected. Furthermore, these corrections will be included in the report of the experiment so that the scientist understands that the problem has been removed. In fact, the process of correcting systematic error will be crucial, because the results of an experiment may depend on the assumptions used in its conduct, and if these assumptions are not in line with what is actually discovered, the published researc h will have a lot of credibility and many problems.

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