Who can prepare boxplots in STATA?
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I write on Who can prepare boxplots in STATA? A boxplot is a type of scatter plot, which displays multiple quantitative variables in two parallel axes. It visualizes the relationship between the variables in a systematic way. A boxplot helps to identify the upper and lower quartiles of a dataset, as well as the outliers. So, a boxplot is useful for many tasks, including selection of statistical outliers, identifying patterns, finding outliers, comparing groups, determining thresholds, and selecting features for regression models. Let’s see
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Boxplots (Figure 2) are a popular tool for visualizing interquartile range (IQR) around a central mean (μ). her explanation Box plots are usually used for summarizing quantitative data. The main advantage of a boxplot is that it provides a quick snapshot of distribution, and, thus, helps you in deciding whether to plot a histogram, pie chart or line graph. Another advantage is that it provides easy comparison of groups (Figure 2, panel 1). On the other hand, this question was asked earlier, but the question
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Stata is a powerful statistical package used for data analysis and data management. The package contains a wide range of statistical functions and software modules that provide valuable insights into data. One such module is the `boxplot` function, which can be used to generate boxplots, histograms, and scatterplots. In this module, you can create boxplots for data that are presented as two or more scatter plots or as pairs of histograms. In simple terms, a boxplot in STATA consists of a box or range, outliers (highlighted by the box),
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