Standard Deviation Calculator: Calculate Deviation & Variance
Calculate standard deviation, variance, mean, and data count instantly from a set of sample or population data points.
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Fill in the required parameters on the left and click calculate to see the detailed results and analysis.
Analyzing Data Dispersion with the Standard Deviation Calculator
In the world of statistics, knowing the average (mean) alone is not enough to describe a data set. We need to know how far those data points are spread or deviated from their average value. This is where Standard Deviation plays a very important role as the most widely used statistical parameter.
What is Standard Deviation?
Standard deviation is a statistical value used to determine how close the data in a sample is to its mean.
Differences Between Sample Data and Population Data
It is crucial to choose the right data type for accurate calculation results:
n-1 denominator (Degrees of Freedom) to provide a more unbiased result.Steps for Calculating Standard Deviation
Although our calculator does it in an instant, here is the mathematical process:
Uses of Standard Deviation in Various Fields
How to Use This Calculator
Enter the set of numbers you want to analyze into the provided box, separating each number with a comma (e.g., 10, 20, 30, 40). Choose whether the data is a Sample or Population. The calculator will automatically display the Mean, Variance, and Standard Deviation values instantly.
? Frequently Asked Questions
Q What is the difference between variance and standard deviation?
Variance is the average of the squared differences from the mean. Standard deviation is the square root of the variance. Standard deviation is easier to interpret because it has the same unit as the original data.
Q Why is the sample standard deviation divided by n-1 instead of n?
This is called Bessel's correction. Dividing by n-1 helps provide a more accurate estimate for a wider population based on a limited sample so as not to underestimate the true data spread.
Q What does it mean if the standard deviation is zero?
If the standard deviation is zero (0), it means all the numbers in that data set are exactly the same. There is no spread or difference at all.
Q How to read standard deviation in a normal curve?
In a normal distribution, about 68% of the data falls within 1 standard deviation of the mean, and about 95% of the data falls within 2 standard deviations of the mean.
Q Do outliers affect standard deviation?
Yes, significantly. A single number very far from the average (outlier) can significantly increase the standard deviation value due to the squaring process in its formula.