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SPRTs commonly use reference-grade, high-purity smaller-diameter platinum wire, metal sheaths and ceramic type insulators. Internal lead wires are usually a nickel-based alloy. Standard PRTs are more limited in temperature range (−200 °C to 500 °C) and are approximately accurate to ±0.03 °C over the temperature range.
Classes are denoted by either a letter or percentage. For example, Class B is a temperature accuracy from IEC-751 that requires accuracy of ± 0.15 degrees Celsius. Class 0.5 is an ANSI C12.20 accuracy class for electric meters with absolute accuracy better than ± 0.5% of the nominal full scale reading. [1]
A medical thermometer or clinical thermometer is a device used for measuring the body temperature of a human or other animal. The tip of the thermometer is inserted into the mouth under the tongue (oral or sub-lingual temperature), under the armpit (axillary temperature), into the rectum via the anus (rectal temperature), into the ear (tympanic temperature), or on the forehead (temporal ...
They are less suitable for applications where smaller temperature differences need to be measured with high accuracy, for example the range 0–100 °C with 0.1 °C accuracy. For such applications thermistors , silicon bandgap temperature sensors and resistance thermometers are more suitable.
Example radar chart from the results of the BPH. The individual dog's results are comparable against the breed's average. The results include a score sheet, summary graph, and a subjective summary from the observer. The score sheet describes the behaviour of the dog in each of the 7 (or 8, if chosen) steps.
During last night's game there was an on-court skit that missed the mark. The skit included bad decision making and poor communication. Simply put, we turned the ball over and we apologize.
Cracker Barrel has apologized after its Waldorf, Maryland, restaurant refused to serve a group of students with special needs last week.. The Lebanon, Tennessee-based restaurant chain said that ...
Accuracy is also used as a statistical measure of how well a binary classification test correctly identifies or excludes a condition. That is, the accuracy is the proportion of correct predictions (both true positives and true negatives) among the total number of cases examined. [10]