What Sample sd is
Sample Standard Deviation (sample SD) is a measure of the variability or spread of a dataset. It is calculated by taking the square root of the variance of a sample. It is used to measure the dispersion of a set of data values around the mean.
The steps for calculating Sample SD are as follows:
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Calculate the mean (average) of the data set.
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Calculate the difference between each data point and the mean.
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Square each of the differences.
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Sum all the squared differences.
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Divide the sum of the squared differences by one fewer than the number of data points.
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Take the square root of the result. This is the sample SD.
Examples
- Sample standard deviation is used to measure the spread of a sample of data from its mean.
- Sample standard deviation can be used to compare the variability of two or more samples of data.
- Sample standard deviation can be used to determine if a data set is normally distributed.
- Sample standard deviation can be used to measure the risk associated with an investment.
- Sample standard deviation can be used to determine the confidence level of a prediction based on a sample of data.