What is an analysis? What is a conclusion? What are the elements(parts) in a good conclusion? Why do we have to write an analysis? When do we have to analyze our expriment? What are the elements of analysis?
Analysis is where the collected data is interpreted. During this step, scientists review and try to make sense of the data in order to draw any conclusions. A conclusion is where all of the data is evaluated and it is where you would answer your research question. One of the elements in a good conclusion would be summarizing your results. Others would include stating whether your results support or go against your hypothesis and making comments on the accuracy, reliability and validity of your experiment. By writing down an analysis, it summarizes all of the results of the experiments by going over what has happened. The analysis helps the person write down the conclusion and without it, the conclusion would not have that summarization completed. The analysis is written write after the observations of the experiment are recorded. The elements of an analysis would be to review your data, label everything in your table and graph, and give a full summarization of what happened in the results.
Analysis is the step of the scientific method where data is interpreted. We examine their trends and cause and effect relationships. During analysis, scientists evaluate if they have enough data to continue to interpretation. They review and make sense of the data collected during the experiment. A conclusion is where you answer your research questions and decide whether your data prove or disprove your hypothesis. A good element of conclusion would be explanation of the results using scientific knowledge. Also a statement including whether my data agrees or disagree with the hypothesis and accuracy of the data. By writing down an analysis before conclusion, a trend of our data can be recognized so summary can be easily written. it helps people to write down concise conclusion. Also from the analysis of the data we can comment on the reliability of the data because if our data does not make sense scientifically we cannot say that our data is reliable. Elements of good analysis are trend of our data, explanation of the data, and accuracy of the data.
Analysis is a detailed and organized examination of experiment or structure of something. Conclusion is a end or finish of something that is expressed in few sentences. For great conclusion, you need to write some detailed data or information and concisely write the results of experiments. The reason why we need to write an analysis is to organize and build up the experiments easily and simply. You need to analyze the works after you have collected all the data. For great analysis, you need to insert all necessary data and neatly put labels or organizations to the information.
An analysis is an organized interpretation of the experiment you conducted. A conclusion is wrapping up the whole experiment including the graph or table, results, and analysis. A good conclusion will include reasoning and lots of evidence from the experiment. We have to write an analysis because the data collected from the experiment is raw without writing an analysis. The analysis enables the collected data to be cooked and clear. We usually analyze the experiment after collecting raw data from the experiment.
Analysis is when you study something and try to find out the deeper meaning of it. For example if it's a science data, you question yourself why that happened and how etc. Conclusion is when you summarize briefly all the things that you found out in conclusion. Elements in a good scientific conclusion is to include a brief statement of the main question, brief statement of the data, answer the question "does it match your hypothesis?" and if yes, why and if no, why not. You have to analyze because during analyzing you can clear any points that the reader isn't clear about. We can analyze our experiment when we are done with our experiment and done with the data.. The elements of analysis is discussing the experiment in detail and trying to identify any trends, relationships and patterns in data. Also, you have to find scientific explanations or reasoning for the data from the experiment.
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