Error line is an index of data dispersion, which can often be seen in the graphs of published articles, showing the potential error or uncertainty relative to each data mark in the series. The error line can be standard deviation (average deviation) or standard error, which is commonly used. If you send an English article, add Barsdonnate S.D or S.E in the title, and Chinese articles can be omitted.
Extended data:
There are many expressions to choose from because the types of error lines are descriptive and inferential. Therefore, when using the error line, be sure to explain in the legend whether to choose the standard deviation or confidence interval, so as to facilitate readers' understanding.
When comparing the data between groups, such as comparing the situation that drug A and drug B reduce the blood pressure of patients, it is more appropriate to use the inference error bar (confidence interval CI) at this time. See whether the 95%CI of the two groups of data overlap through the chart, and then judge whether the difference between the two groups of data is statistically significant. However, when the sample size is small, it may be better to give the distribution of each data point directly, that is, in the form of scatter plot, than to choose error bar chart.
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