error, was happening when you are not really sure enough about it...uncertainty,was the thing that you understand
Error in data analysis refers to the difference between the measured value and the true value, while uncertainty is the lack of precision or confidence in the measurement. Error is a specific mistake in the data, while uncertainty is the range of possible values that the true value could fall within.
To determine the uncertainty of an instrument, you need to consider factors like the instrument's precision, calibration, and potential sources of error. Uncertainty is typically expressed as a range or margin of error in the measurements taken by the instrument.
To find the maximum error in a dataset, calculate the difference between each data point and the true value, then identify the largest difference as the maximum error.
The uncertainty of a ruler refers to the smallest measurement that can be reliably determined using that ruler. It represents the margin of error in measurements taken with the ruler.
The uncertainty associated with measurements taken using a multimeter is the potential margin of error or variation in the readings due to factors like instrument accuracy, environmental conditions, and human error.
Error in data analysis refers to the difference between the measured value and the true value, while uncertainty is the lack of precision or confidence in the measurement. Error is a specific mistake in the data, while uncertainty is the range of possible values that the true value could fall within.
There is no difference.
There is no difference.
The difference between low percent error and high percent error is one is low and the other is high
Skepticism is uncertainty, while bias is prejudice.
accuracy is when you KNOW something and uncertancy is when your not sure
Bias is systematic error. Random error is not.
It would help to know the standard error of the difference between what elements.
yes
Error bars visually represent the variability or uncertainty of data in relation to treatment effects. They indicate the range within which the true value is likely to fall, providing insight into the precision of the measurements. If the error bars of different treatment groups do not overlap, it suggests a statistically significant difference between those groups. Conversely, overlapping error bars may indicate that there is no significant difference in treatment effects.
they are the same thing.
To determine the uncertainty of an instrument, you need to consider factors like the instrument's precision, calibration, and potential sources of error. Uncertainty is typically expressed as a range or margin of error in the measurements taken by the instrument.