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Figure 2. Box-plot with whiskers from minimum to maximum Figure 3. Same box-plot with whiskers drawn within the 1.5 IQR value. A boxplot is a standardized way of displaying the dataset based on the five-number summary: the minimum, the maximum, the sample median, and the first and third quartiles.
Gap bar {{bar gap|optional separator|height=any valid length (omitting unit defaults to px, default is 10px)}} Omitting the separator generates a blank row. Another useful separator is <hr> which produces a horizontal line. Break {{Bar box break}} is a template to split bar box tables into multiple charts while maintaining alignment of the columns.
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A bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally. A vertical bar chart is sometimes called a column chart and has been identified as the prototype of charts. [1]
A value is a label with a smaller font-size and that might be used to display a number that is represented by the bar.. This so-called value of the bar is displayed above the bar in a vertical bar chart, and to the right of the bar in a horizontal bar chart.
It is remarkable that the sum of squares of the residuals and the sample mean can be shown to be independent of each other, using, e.g. Basu's theorem.That fact, and the normal and chi-squared distributions given above form the basis of calculations involving the t-statistic:
In MATLAB we can use Empirical cumulative distribution function (cdf) plot; jmp from SAS, the CDF plot creates a plot of the empirical cumulative distribution function. Minitab, create an Empirical CDF; Mathwave, we can fit probability distribution to our data; Dataplot, we can plot Empirical CDF plot; Scipy, we can use scipy.stats.ecdf