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error, was happening when you are not really sure enough about it...uncertainty,was the thing that you understand

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12y ago

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What is the difference between error and uncertainty in the context of data analysis?

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.


What is the difference between a mistake and an error?

There is no difference.


What is the difference between a error and a mistake?

There is no difference.


What is the difference between low percent error and high percent error?

The difference between low percent error and high percent error is one is low and the other is high


What is the difference between skepticism and bias?

Skepticism is uncertainty, while bias is prejudice.


What is the difference between accuracy and uncertainty?

accuracy is when you KNOW something and uncertancy is when your not sure


What is the difference between a bias and a random error?

Bias is systematic error. Random error is not.


What is the relationship of the standard error of the mean to the standard error of the difference?

It would help to know the standard error of the difference between what elements.


Is the standard error of the sample mean assesses the uncertainty or error of estimation?

yes


What do error bars show with treatment?

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.


Difference between an error and a mistake?

they are the same thing.


How to determine the uncertainty of an instrument?

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.