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| Gráfico de Control de Variables de Shewhart (X-barra / R)× | Estadística Descriptiva× | |
|---|---|---|
| Campo | Estadística | Estadística |
| Familia≠ | Process / pipeline | Hypothesis test |
| Año de origen≠ | 1931 | 1977 |
| Autor original≠ | Walter A. Shewhart | John W. Tukey |
| Tipo≠ | Statistical process control chart for variables | Summary procedure |
| Fuente seminal≠ | Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. D. Van Nostrand Company. ISBN: 978-0-87389-076-2 | Tukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165 |
| Alias≠ | X-bar and R chart, Shewhart chart, variables control chart, process control chart | summary statistics, exploratory data summary, Betimsel İstatistik |
| Relacionados≠ | 4 | 6 |
| Resumen≠ | The Shewhart control chart, invented by Walter Shewhart at Bell Labs in the 1920s and set out in his 1931 book, is the foundational tool of statistical process control. It plots a process statistic — typically the subgroup mean (X-bar) and range (R) — over time against a center line and three-sigma control limits, distinguishing the natural common-cause variation inherent in a stable process from special-cause variation that signals something has changed and warrants investigation. | Descriptive statistics is a set of procedures that numerically and visually summarises the essential characteristics of a dataset: central tendency (mean, median, mode), spread (standard deviation, interquartile range), shape (skewness, kurtosis), and frequency distributions. Systematised for applied data analysis by John W. Tukey in his 1977 work on Exploratory Data Analysis, descriptive statistics serves as the indispensable first step before any inferential or modelling procedure. |
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