{"tema_id":"62","string":"Experimental error","created":"2024-04-17 19:34:27","code":"","modified":"0000-00-00 00:00:00","notes":[{"@type":"Scope note","@lang":"en-EN","@value":"SYMSITES k-SDSS "},{"@type":"Bibliographic note","@lang":"en-EN","@value":"TAYLOR, John. Introduction to error analysis, the study of uncertainties in physical measurements. 1997. "},{"@type":"Definition note","@lang":"en-EN","@value":"Experimental error, in a scientific context, refers to the inherent uncertainty and variation that exists in any measurement process. It's not a \"mistake\" in the conventional sense but rather the difference between a measured value and the true or accepted value of a quantity. All scientific measurements are subject to error, and understanding these errors is essential for interpreting experimental results and drawing valid conclusions. \nTwo primary categories of experimental error:\n\nSystematic errors: consistent and repeatable biases in measurements. Systematic errors affect the accuracy of a measurement (how close it is to the true value).\nRandom Errors: unpredictable fluctuations in measurements. They can cause the measured values to be sometimes higher and sometimes lower than the true value, with no discernible pattern.\n "}]}