Question

Distinguish between standard error and standard deviation

Answer 1

The standard deviation, or SD, measures the amount of variability or dispersion for a subject set of data from the mean, while the standard error of the mean, or SEM, measures how far the sample mean of the data is likely to be from the true population mean. The SEM is always smaller than the SD. 

Answer 2

Difference between standard deviation and standard error.

Standard deviation- When there are different sets of values noted down or different sets of data captured and recorded then the variation or the vast Dispersion of the data seen or present is known as the standard deviation. it is the range of data that is taken into account for the same experiment or reason.If the range of data is not widely spread and very close to each other then the standard deviation that we get would be less that means it will be closer to mean showing a small range spread of data.

Standard error- The standard error is a bit similar to standard deviation but Unlike the standard deviation the  mean of the range of data is not recorded but the samples from the data are picked up and the mean of those samples that are collected is calculated this would give the standard error mean. the standard error mean depends more on the kind of Samples that are corrected and not on the data.

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