When collecting your data, you notice that your results are very different from your classmates. We should Reevaluate our accuracy.
Accuracy and precision are two measures of observation error. Precision indicates how close or far apart a given set of measurements (observations or readings) are from the true value, and precision indicates how close or different measurements are to each other. In other words, precision is a description of random error and a measure of statistical variation. Accuracy has two definitions.
More generally, it is a bias-only description, a measure of statistical bias for a particular measure of central tendency. Poor precision leads to differences between the result and the true value. ISO calls this correctness.
Alternatively, ISO defines precision as describing the combination of both types of observational error (random and systematic), so high precision requires both high precision and high accuracy.
In the first, the more commonly used definition of "accuracy" above, the concept is independent of "precision" and refers to whether a particular data set is accurate, accurate, or both. or neither.
Learn more about Accuracy here : brainly.com/question/5792909
#SPJ4
