:

Sumitra Tatapudy1, Rachel Potter1, Linnea Bostrom1

  • 1Department of Biology, University of Washington, Seattle, WA 98195.

CBE life sciences education
|September 25, 2024
PubMed
概括

一个R-Shiny应用程序有助于教育工作者可视化学生绩效数据,以识别和解决科学,技术,工程和数学 (STEM) 教育的机会差距,以帮助代表性不足的群体.

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Bar Graph01:07

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Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
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Outliers and Influential Points01:08

Outliers and Influential Points

An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
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As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
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Pareto Chart00:52

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Skewness01:06

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