Yes, it is.
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When there aren't extreme values (outliers)
They are called extreme values or outliers.
High sensetivity to outliers (i.e. Extreme observation)
the interquartile range is not sensitive to outliers.
Variance is a measure of "relative to the mean, how far away does the other data fall" - it is a measure of dispersion. A high variance would indicate that your data is very much spread out over a large area (random), whereas a low variance would indicate that all your data is very similar.Standard deviation (the square root of the variance) is a measure of "on average, how far away does the data fall from the mean". It can be interpreted in a similar way to the variance, but since it is square rooted, it is less susceptible to outliers.