--- alias: user-guide-chart-types-index description: "This documentation outlines eight basic SPC chart types for process monitoring and control" --- # Chart Types A SPC **Chart** in Critical Manufacturing can be of eight basic types: * Variable Charts: * Average and Range (x̄ R) * Average and Standard Deviation (x̄ s) * Median and Range (x~ R) * Individuals and Moving Range (x Rm) * Attribute Charts: * Fraction Defective (p) * Number Defective (np) * Number of Defects Per Unit (u) * Number of Defects (c) The variable charts assume continuos values that follow a normal distribution, whereas attribute charts have discrete values and follow other distributions: * p and np charts follow a Binomial distribution * u and c charts follow a Poisson distribution The following table describes the properties of each chart type | Chart | Process observation types | Process observation relationships | Sample Size | Distribution type | Size of shift to detect | |---|---|---|---|---|---| | Average and Range (x̄ R) | Variables | Independent | < 10, but usually 3 to 5 | Normal | Large (≥1.5σ) | | Average and Standard Deviation (x̄ s) | Variables | Independent | Usually ≥ 10 | Normal | Large (≥1.5σ) | | Median and Range (x~ R) | Variables | Independent | < 10, but usually 3 to 5 | Normal | Large (≥1.5σ) | | Individuals and Moving Range (I MR) | Variables | Independent | 1 | Normal | Large (≥1.5σ) | | Fraction Defective (p) | Attributes | Independent | Variable usually ≥ 50 | Binomial | Large (≥1.5σ) | | Number Defective (np) | Attributes | Independent | Constant usually ≥ 50 | Binomial | Large (≥1.5σ) | | Number of Defects per Unit (u) | Attributes | Independent | Variable | Poisson | Large (≥1.5σ) | | Number of Defects (c) | Attributes | Independent | Constant | Poisson | Large (≥1.5σ) | Table: Chart type properties ## Selecting the Right Chart The following picture helps the selection of the right type of chart. ![Chart Selection][chartSelection] [chartSelection]: ../../../images/chart_selection.png {{ generate_index() }}