Question

The variance / standard deviation / standard error measures how much dispersion or scatter exists around the mean of a set of values. The standard 6 deviation / standard error is the square root of the variance so a value for dispersion from the mean can be reported in the same units / squared units as the mean. The standard deviation / standard error value of the mean measures how well the sample mean approximates the true mean- the closer your sample mean is to the population mean the bigger / smaller this value is.

          The variance / standard deviation / standard error measures how much
dispersion or scatter exists around the mean of a set of values. The standard
6 deviation / standard error is the square root of the variance so a value for
dispersion from the mean can be reported in the same units / squared units
as the mean.
The standard deviation / standard error value of the mean measures how
well the sample mean approximates the true mean- the closer your sample
mean is to the population mean the bigger / smaller this value is.

The variance / standard deviation / standard error measures how much
dispersion or scatter exists around the mean of a set of values. The standard
6 deviation / standard error is the square root of the variance so a value for
dispersion from the mean can be reported in the same units / squared units
as the mean.
The standard deviation / standard error value of the mean measures how
well the sample mean approximates the true mean- the closer your sample
mean is to the population mean the bigger / smaller this value is.

Added by Elizabeth H.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

Instant Answer

Solved by Expert Lucas Finney

08/13/2022

Step 1

Step 1: Calculate the variance of the set of values by finding the average of the squared differences between each value and the mean. Show more…

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The variance/standard deviation/standard error measures how much dispersion or scatter exists around the mean of a set of values. The standard deviation/standard error is the square root of the variance, so a value for dispersion from the mean can be reported in the same units/squared units as the mean. The standard deviation/standard error value of the mean measures how well the sample mean approximates the true mean - the closer your sample mean is to the population mean, the bigger/smaller this value is.