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Example boxplot titled Boxplot of Magnesium, Ashwaganda, and Melatonin with Deep Sleep. The boxplot analysis indicates statistically insignificant variations among supplement types. The author describes the follow-up question after their ANOVA analysis: how does my sleep vary with a magnesium pill vs. without a magnesium pill? — The boxplot comparison accurately reflects the variation between different sleep supplements and their effect on deep sleep quantity. As seen above, the boxplot demonstrates the presence of a single outlier under the Magnesium group which could have easily skewed and misrepresented the data in another type of figure.

As anyone who has taken one of Princeton’s introductory statistics courses can tell you: informative statistics and figures can and will be incredibly useful in supporting your research. Whether you’re reworking your R1, writing your first JP, or in the final stages of your Senior Thesis, chances are you’ve integrated some useful statistics into your argument. When there are a million different positions that one can take in an argument, statistics appear to be our research’s objective grounding. The data says so, therefore I must be right. Right?

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