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Southwell Plot constructed from a straight line fitted to experimental data points. The Southwell plot is a graphical method of determining experimentally a structure's critical load, without needing to subject the structure to near-critical loads. [1]
This statistics -related article is a stub. You can help Wikipedia by expanding it.
The plots on top are actually annotations that contain images generated earlier. Image annotations can be used to include material that enhances a visualization such as auxiliary plots, images of experimental data, project logos, etc. Scatter plot: VisIt's Scatter plot allows visualizing multivariate data of up to four dimensions. The Scatter ...
Origin is a proprietary computer program for interactive scientific graphing and data analysis. It is produced by OriginLab Corporation, and runs on Microsoft Windows. It has inspired several platform-independent open-source clones and alternatives like LabPlot and SciDAVis. Graphing support in Origin includes various 2D/3D plot types.
Experimental Design Diagram (EDD) is a diagram used in science to design an experiment.This diagram helps to identify the essential components of an experiment. It includes a title, the research hypothesis and null hypothesis, the independent variable, the levels of the independent variable, the number of trials, the dependent variable, the operational definition of the dependent variable and ...
The horizontal distance of a box from the y-axis demonstrates the difference between the test and control (the experimental data with control data subtracted out) in relation to no observable effect, otherwise known as the magnitude of the experimental effect.
A parity plot is a scatterplot that compares a set of results from a computational model against benchmark data. Each point has coordinates (x, y), where x is a benchmark value and y is the corresponding value from the model.
In addition, the choice of appropriate statistical graphics can provide a convincing means of communicating the underlying message that is present in the data to others. [1] Graphical statistical methods have four objectives: [2] The exploration of the content of a data set; The use to find structure in data; Checking assumptions in statistical ...