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As with the ¯ and s and individuals control charts, the ¯ chart is only valid if the within-sample variability is constant. [4] Thus, the R chart is examined before the x ¯ {\displaystyle {\bar {x}}} chart; if the R chart indicates the sample variability is in statistical control, then the x ¯ {\displaystyle {\bar {x}}} chart is examined to ...
Scatter plot; Scatterplot smoothing; Scott's rule; Scree plot; Seasonal subseries plot; Self-similarity matrix; Semi-log plot; Sequence logo; Shewhart individuals control chart; Sina plot; Smoothing; Spaghetti plot; Spatial distribution; Stem-and-leaf display; Streamgraph; Sturges's rule
For processes that produce homogeneous batches (e.g., chemical) where repeat measurements vary primarily because of measurement error; The "chart" actually consists of a pair of charts: one, the individuals chart, displays the individual measured values; the other, the moving range chart, displays the difference from one point to the next.
Alternatively, Stacked bar charts (also known as Composite bar charts) stack bars on top of each other so that the height of the resulting stack shows the combined result. Unlike a grouped bar chart where each factor is displayed next to another, each with their own bar, the stacked bar chart displays multiple data points stacked in a single ...
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.
As sets vary in size, the size of the set is plotted as bar charts on top of the columns. The size of the intersections are shown aligned with the rows, also as bar charts. This layout facilitates the comparison between the sizes of individual intersections, as the size of the bars is easy to compare. UpSets can be used horizontally and vertically.
In statistical quality control, the ¯ and s chart is a type of control chart used to monitor variables data when samples are collected at regular intervals from a business or industrial process. [1] This is connected to traditional statistical quality control (SQC) and statistical process control (SPC).