Data analysis involves the examination and interpretation of data to identify patterns, trends, and relationships. It involves using statistical methods and tools to draw meaningful insights from the data. On the other hand, a conclusion is the final decision or judgment that is made based on the results of the data analysis. It is the summary of the findings and the implications or recommendations that can be drawn from the analysis. In essence, data analysis is the process of analyzing the data, while the conclusion is the outcome or result of that analysis.
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The basic difference between a data analysis and a conclusion is that, a data analysis deals with the information and or data you have obtained from doing a certain experiment. it also deals with organizing and examining the collected data using narratives, charts, graphs or tables and analyzing( or interpreting) the information you have. Whereas, the conclusion literally means the answer to the experiment. the conclusion explains the experiment in an overall basis and explains your hypothesis right or wrong. For example; If you want to check the affect of different lights on the growth of a certain plant, first you will make an hypothesis. Later, materials, purpose, procedures, observations, data/graphs......At the end you will have to do your conclusion. In your conclusion you will explain, if the light did have an affect on the certain plant, basically checking to see if your hypothesis was correct or incorrect. The conclusion is also known as a final settlement and it ends the experiment by showing what happened as the result?..............Hope that helped!!
Conclusion
meta- analysis
There are many people who use statistical data analysis. Scientists, websites, and companies are all use of statistical data analysis. This analysis is beneficial to the people that study it.
Any type of analysis that deals with numeric data (numbers) is quantitative analysis. Qualitative analysis, on the other hand, does not have numeric data ( for example, classify people according to religion).
DATA analysis