Title:

Qualitative and Quantitative Analysis of Mass Spectrometry Peaks of Glycans

Measuring the correlation between various data sets is a method of assessing how strong the relationship between the data sets is and how they change simultaneously. It is essentially the process of finding a pattern between the data sets. Measuring correlation has many real-world applications. It is quite significant in medical fields, as it allows for connections between factors such as treatment and treatment outcome. It is also a powerful tool in most science fields as a whole. Correlation can help to tell scientists why something happened, as it was likely due to another factor. The relationship between the outcome and various factors can be quantified and used to determine a better method to obtain the desired results for an experiment. Comparing results from different methods of analysis allows for the results to be verified. Using multiple methods to determine if the results are consistent across platforms is a key step in the data analysis process. After completing an experiment, the results can be compared to those found in literature to verify the numbers. Using two different programs to analyze the data and compare the results is another popular method of data verification. Precise data is extremely important in chemistry, thus meaning that the data analysis being correct is just as crucial to the understanding of chemistry.

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