About the Book
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 290. Not illustrated. Chapters: Statistical Charts and Diagrams, Lorenz Curve, Venn Diagram, Histogram, Outlier, Box Plot, Convex Hull, Pie Chart, Control Chart, Moving Average, Q-Q Plot, Population Pyramid, Shewhart Individuals Control Chart, Candlestick Chart, William Playfair, P-Chart, Western Electric Rules, Recurrence Plot, Ewma Chart, Correlogram, Xbar and S Chart, Probability Plot Correlation Coefficient Plot, Radar Chart, Chernoff Face, Dot Plot, Statistical Graphics, Cusum, Xbar and R Chart, Scatter Plot, Nelson Rules, Bar Chart, Partial Regression Plot, P-P Plot, Stemplot, Funnel Plot, Anscombe's Quartet, Multi-Vari Chart, Cartogram, Forest Plot, Line Chart, Bland-altman Plot, Sequence Logo, Rankit, Carpet Plot, Volcano Plot, List of Graphical Methods, Sampling Variogram, Partial Residual Plot, Semi-Log Graph, Biplot, Smoothing, Normal Probability Plot, C-Chart, U-Chart, Pareto Analysis, Pareto Chart, Seasonal Subseries Plot, Np-Chart, Self-Similarity Matrix, Rank Abundance Curve, Violin Plot, Double Mass Analysis, Freedman-diaconis Rule, Levey-Jennings Chart, Galbraith Plot, Log-Log Graph, Control Limits, Barber-johnson Diagram, Dendrogram, Spaghetti Plot, Lexis Diagram, Polar Distribution, X-Bar Chart, Area Chart, Manhattan Plot, Composite Bar Chart, Weibull Chart. Excerpt: Control charts, also known as Shewhart charts or process-behaviour charts, in statistical process control are tools used to determine whether or not a manufacturing or business process is in a state of statistical control. If analysis of the control chart indicates that the process is currently under control (i.e. is stable, with variation only coming from sources common to the process) then data from the process can be used to predict the future performance of the process. If the chart indicates that the process being monitored is not in control, ...