It is not possible to determine the range since there is always the possibility that there are outliers. Also, there is no information about the skewness of the data. If the distribution is symmetric, there is a high probability (99.75%) that the values will lie within 3 standard deviations of the mean - that is between 40 and 160.
we calculate standard deviation to find the avg of the difference of all values from mean.,
No standard deviation can not be bigger than maximum and minimum values.
For a sample, the SD is 13.53, approx.
The variance is standard deviation squared, or, in other terms, the standard deviation is the square root of the variance. In many cases, this means that the variance is bigger than the standard deviation - but not always, it depends on the specific values.
Any non-negative value.
we calculate standard deviation to find the avg of the difference of all values from mean.,
The standard deviation must be greater than or equal to zero.
Boxplot
No standard deviation can not be bigger than maximum and minimum values.
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The standard deviation is the square root of the variance. In this case, the square root of 324 is 18. Therefore, the standard deviation of the data values in the population is 18.
Standard deviation (SD) is a measure of the amount of variation or dispersion in a set of values. It quantifies how spread out the values in a data set are from the mean. A larger standard deviation indicates greater variability, while a smaller standard deviation indicates more consistency.
The mean would be negative, but standard deviation is always positive.
The Empirical Rule states that 68% of the data falls within 1 standard deviation from the mean. Since 1000 data values are given, take .68*1000 and you have 680 values are within 1 standard deviation from the mean.
The standard deviation of color matching refers to the variability or dispersion of color values within a set of samples or data points that are being matched or compared. A higher standard deviation indicates a greater degree of variation in color values, while a lower standard deviation suggests more consistency or similarity in color matching.
14 Apex
The larger the value of the standard deviation, the more the data values are scattered and the less accurate any results are likely to be.