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A thermometer says the temperature is 34 degrees ceentigrade. The divisions are so close you could only decide it is 34 rather than 33 or 35. So its precision is one degree. If the specification for that thermometer is plus or minus 3 degrees then you only really know it is between 31 and 37. If its precision is plus or minus one degree you know it is between 33 and 35.

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11y ago
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13y ago

Accuracy: whether the measurement is true or not.

Precision: you got the right answer, but how close are you to the true value.

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Q: How does accuracy differ from precision in a scientific measurement?
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How does accuracy differ from precision a scientific measurement?

Accuracy refers to how close a measured value is to the true value, while precision refers to how close multiple measurements are to each other. In scientific measurement, accuracy indicates the system's ability to measure the true value, and precision describes the system's consistency in producing similar results.


How does acceracy differ from precision in scientific measurement?

Accuracy refers to how close the results are to the established (or predicted) values. Experimentally, accurate results are evidence that the procedure worked as expected and that the combined error from all sources (instrumental, environmental, and human) is low. Precision refers to how close the results are to each other. Highly precise results will indicate that the experiment was run (nearly) identically each time, though it will not guarantee accuracy.


If some measurements agree closely but differ widely from the actual value?

Then they have precision but not accuracy.


How does accurancy differ from precision in a scientific measurement?

Consider someone firing a rifle at a target. If their shots centre around the bullseye, they were accurate, even if the scatter is quite large. If the scatter is very small (i.e. all the shots are very clustered) they were very precise - even if that cluster is far from the bullseye. So accuracy: how on target are you. Precision: How much spread is there around the target?


How does the last digit differ from the other digits in a measurement?

The last digit in a measurement indicates the level of precision or uncertainty in the measurement. It is typically an estimate and can vary depending on the instrument's precision or the person taking the measurement. The other digits are considered to be more reliable and accurate in conveying the measurement value.


Why is it best for scientists to use the scientific name of an organism instead of a common name?

Using the scientific name ensures clarity and precision, as common names can vary across regions and languages. Scientific names follow a standardized naming system (binomial nomenclature) which helps scientists accurately identify and classify organisms worldwide.


How does a parameter and a statistic differ?

A parameter is a numerical measurement of a population; a statistic is a numerical measurement of a sample.


How do 5.60 meters in 5.6 meters differ?

The values 5.60 meters and 5.6 meters are the same length, with the former expressing the length to two decimal places and the latter to one decimal place. The extra zero in 5.60 helps to indicate the measurement's precision.


How does the project audit differ from the performance measurement control system?

How does the project audit differ from the performance measjrement control system


Why is it best for scientist to use the scientist name of an organism instead of a common name?

Scientific names never differ among scientists.


How does quantum uncertainty differ from the uncertainty involved in a coin flip?

Quantum uncertainty is a fundamental concept in quantum mechanics, wherein certain properties of particles cannot be precisely determined simultaneously. In contrast, the uncertainty involved in a coin flip is related to the outcome of the random event and is typically attributed to insufficient information or control over the initial conditions of the coin flip.


How do scientific theries differ from scientific laws?

Theories are observations held to be true based on their application to observation and proven scientific laws.