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Fluke Corporation is an American manufacturer of industrial test, measurement, and diagnostic equipment, including electronic test equipment. It was started in 1948 by John Fluke while he was employed at General Electric .
This is called a limited calibration. But if the final measurement requires 10% accuracy, then the 3% gauge never can be better than 3.3:1. Then perhaps adjusting the calibration tolerance for the gauge would be a better solution. If the calibration is performed at 100 units, the 1% standard would actually be anywhere between 99 and 101 units.
This can be done with the "delta", "zero", or "null" feature of many digital multimeters. Contact pressure to the device under test and cleanliness of the surfaces can affect measurements of very low resistances. Some meters offer a four wire test where two probes supply the source voltage and the others take measurement.
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In 1956, a large property in Beaverton became available, and the company's employee retirement trust purchased the land and leased it back to the company. [10] Construction began in 1957 and on May 1, 1959, Tektronix moved into its new Beaverton headquarters campus, [10] on a 313-acre (1.27 km 2) site which came to be called the Tektronix Industrial Park.
A calibration curve plot showing limit of detection (LOD), limit of quantification (LOQ), dynamic range, and limit of linearity (LOL).. In analytical chemistry, a calibration curve, also known as a standard curve, is a general method for determining the concentration of a substance in an unknown sample by comparing the unknown to a set of standard samples of known concentration. [1]
John Maurice Fluke, Sr. (14 December 1911 – 11 February 1984) was the founder of Fluke Corporation and the former General Electric employee, a manufacturer of electronic test equipment. Fluke served as an officer in the United States Navy in World War II and worked on shipboard electrical problems for then-Captain Hyman G. Rickover .
There are two main uses of the term calibration in statistics that denote special types of statistical inference problems. Calibration can mean a reverse process to regression, where instead of a future dependent variable being predicted from known explanatory variables, a known observation of the dependent variables is used to predict a corresponding explanatory variable; [1]
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