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Bland–Altman plot : In analytical chemistry and biostatistics this plot is a method of data plotting used in analysing the agreement between two different assays. It is identical to a Tukey mean-difference plot , which is what it is still known as in other fields, but was popularised in medical statistics by Bland and Altman.
1) to help visualize ionically related waters from which a flow path can be determined, or; 2) if the flow path is known, to show how the ionic composition of a water body changes over space and/or time. Example of a Stiff diagram. A typical Stiff diagram is shown in the figure (right).
This example shows 70% (70 out of 100), but the template is flexible and can show any positive integer out of any (equal or larger) integer. The template is 100 pixels wide, so the results are rounded to 1%. To use this, copy the above and replace the values ("70" and "100" in the middle line) and the caption ("70% of women...") with your data.
Whereas statistics and data analysis procedures generally yield their output in numeric or tabular form, graphical techniques allow such results to be displayed in some sort of pictorial form. They include plots such as scatter plots , histograms , probability plots , spaghetti plots , residual plots, box plots , block plots and biplots .
Pages in category "Statistical charts and diagrams" ... Data and information visualization; ... This page was last edited on 1 June 2024, ...
An example of a Levey–Jennings chart with upper and lower limits of one and two times the standard deviation. A Levey–Jennings chart is a graph that quality control data is plotted on to give a visual indication whether a laboratory test is working well. The distance from the mean is measured in standard deviations.
In some cases, the software's default settings may produce incorrect results; in others, user modifications to the settings could result in incorrect results. Sample data and results are presented by Wheeler for the explicit purpose of testing SPC software. [7] Performing such software validation is generally a good idea with any SPC software.
Sample 2: 10%: 60%: 30%: The proportion of sand is 30% as in Sample 1, but as the proportion of silt rises by 40%, the proportion of clay decreases correspondingly. Sample 3: 10%: 30%: 60%: This sample has the same proportion of clay as Sample 2, but the proportions of silt and sand are swapped; the plot is reflected about its vertical axis.