Accuracy is a characteristic of the exactness or correctness of an answer. Validity is a characteristic of the answer's appropriateness to the question. For example, if I said, "It is approximately 47 billion, 312 million, 697 inches from New York to Chicago" that may be a very accurate answer to the question "How far is it from New York to Chicago", but it's not very valid - most people don't measure distance between cities in inches.
Accuracy refers to how close a measured value is to the true or accepted value, while precision refers to how close multiple measurements of the same quantity are to each other. In other words, accuracy indicates the correctness of a measurement, while precision indicates the consistency or reproducibility of measurements.
Precision is how close your measurements are. Accuracy is how close your measurements are to the actual measurement.
Accuracy refers to how close a measured value is to the true value, while precision refers to the consistency of repeated measurements. In other words, accuracy is related to correctness, while precision is related to repeatability. A measurement can be precise but not accurate if the values are consistently off by a certain amount, and it can be accurate but not precise if the values vary widely with each measurement.
Reliability is important because it ensures consistency and stability in measurement, which is crucial for making accurate comparisons over time or between different groups. Without reliability, the results obtained may be inconsistent and unreliable. Validity, on the other hand, refers to the accuracy of the measurement instrument in assessing the intended construct, and while it is important, a measure must first be reliable to be valid.
Accuracy refers to how close a measurement is to the true or accepted value, while precision refers to how close repeated measurements are to each other. A measurement can be precise but not accurate if it consistently misses the true value by the same amount. Conversely, a measurement can be accurate but not precise if the measurements are spread out but centered around the true value.
Imagine a dartboard. An accurate measurement would be analogous to hitting the bulls-eye. While a precise measurement is just the tight clustering of shots.
Accuracy is a measure of how close to an absolute standard a measurement is made, while precision is a measure of the resolution of the measurement. Accuracy is calibration, and inaccuracy is systematic error. Precision, again, is resolution, and is a source of random error.
The article at the link below should help you get a handle on the subtle differences between accuracy and precision.
Accuracy refers to how close a measured value is to the true or accepted value, while precision refers to how close multiple measurements of the same quantity are to each other. In other words, accuracy indicates the correctness of a measurement, while precision indicates the consistency or reproducibility of measurements.
Precision is how close your measurements are. Accuracy is how close your measurements are to the actual measurement.
The difference between internal and external validity is in their nature. Internal validity indicates if a study depicts relation between two variables. External validity on the other hand generalizes the study of the variables.
The difference between 6mm and 1/4 inch is very small in terms of measurement accuracy and precision. 6mm is slightly larger than 1/4 inch, but the difference is minimal and may not be noticeable in most practical applications. Both measurements are precise and accurate for most everyday purposes.
accuracy is when you KNOW something and uncertancy is when your not sure
Accuracy refers to how close a measured value is to the true value, while precision refers to the consistency of repeated measurements. In other words, accuracy is related to correctness, while precision is related to repeatability. A measurement can be precise but not accurate if the values are consistently off by a certain amount, and it can be accurate but not precise if the values vary widely with each measurement.
Reliability is important because it ensures consistency and stability in measurement, which is crucial for making accurate comparisons over time or between different groups. Without reliability, the results obtained may be inconsistent and unreliable. Validity, on the other hand, refers to the accuracy of the measurement instrument in assessing the intended construct, and while it is important, a measure must first be reliable to be valid.
accuracy is the how well it is done. Quality is what something is worth.
Accuracy refers to how close a measurement is to the true or accepted value, while precision refers to how close repeated measurements are to each other. A measurement can be precise but not accurate if it consistently misses the true value by the same amount. Conversely, a measurement can be accurate but not precise if the measurements are spread out but centered around the true value.