An experiment can have good accuracy but poor precision if the average of the results is close to the true value but the individual measurements are widely spread out. This could be due to systematic errors that affect all measurements in a similar way, leading to good accuracy, but random errors that cause variation between individual measurements, resulting in poor precision.
Precision is how to keep track of good a measuring device is. Accuracy is how close an answer is to being correct. Something can be precise but not accurate. Something can be accurate but not precise.
An experiment on accuracy involves assessing the degree of agreement between the measured value and the true value of a quantity. It typically involves comparing multiple measurements to a known standard or reference value to determine the level of precision and reliability in the measurement process. Statistical analysis is often used to quantify and interpret the accuracy of the measurements.
An archery contestant who consistently groups their arrows tightly together but consistently misses the bullseye would be an example of showing good precision but poor accuracy. Precision refers to how close a set of measurements are to each other, while accuracy refers to how close those measurements are to the true value.
I think you mean precision.That is a precision machine so don't play around with it.He fired a shot with great precision.His precision makes him a good worker.
A measured quantity is said to have good accuracy if it is close to the true value or target value that is being measured. This means that there is minimal systematic error or bias in the measurement.
Precision is how to keep track of good a measuring device is. Accuracy is how close an answer is to being correct. Something can be precise but not accurate. Something can be accurate but not precise.
Poor accuracy Good precision
An experiment on accuracy involves assessing the degree of agreement between the measured value and the true value of a quantity. It typically involves comparing multiple measurements to a known standard or reference value to determine the level of precision and reliability in the measurement process. Statistical analysis is often used to quantify and interpret the accuracy of the measurements.
Equipment had limited display, student ruler can measure up to a mm and for a string of 10 cm it will have error of at least +/- 1mm. An experiment usually required to measure many thing like mass - volume - length - energy and each of these little error would sum up to the experimental error.
truth, accuracy, precision, exactitude, faultlessness, decorum, propriety, good manners, civility, good breeding
An archery contestant who consistently groups their arrows tightly together but consistently misses the bullseye would be an example of showing good precision but poor accuracy. Precision refers to how close a set of measurements are to each other, while accuracy refers to how close those measurements are to the true value.
Precision measurements are those which are repeatable - so all measurements are clustered around the same value. An accurate measurement is where you are close to the true value. A measurement can be precise but not accurate. If you have a piece of string which is 75cm long. You measure it and come up with values of 60cm, 60.5cm and 59.5cm - your measurements are precise but not accurate. See also 'The Story of Measurement' by Andrew Robinson. Published by Thames and Hudson (2007)
Accuracy implies that there is no deviation from the desired result. Precision implies a consistent closeness to the desired result. An archery contestant whould show poor accuracy because the arrow is always off the target center. Good precision because it is always close to the target center.
Accuracy is precision, the condition of being exact or correct, or freedom from mistakes or errors. Sentence: He shot the arrow with good accuracy and hit the target in the center. Source: Dictionary.com. I tried to paraphrase.
By repeating the experiment and getting the same results it validates those results.
If you documented all your results, had a partner, had a witness, completed the experiment many times with the same results, and tested the experiment on the proper things then this would be good validation.
A good science experiment involves a good subject of investigation, that is worth looking into, and a logical design that will produce meaningful results.