वेरियंस कैलकुलेटर: निवेश का रिस्क आसानी से जानें
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प्रसरण और संबंधित सांख्यिकीय मापों की गणना करें। सांख्यिकी में डेटा प्रसार और परिवर्तनशीलता को समझने के लिए आवश्यक।
प्रसरण और संबंधित सांख्यिकीय मापों की गणना करें। सांख्यिकी में डेटा प्रसार और परिवर्तनशीलता को समझने के लिए आवश्यक।
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अपने गणना परिणाम देखें
Variance मापता है how far each संख्या में a set है से the mean. It है the square की standard deviation और प्रतिनिधित्व करता है the dispersion की डेटा points around the mean. Variance है used में risk assessment, portfolio theory, quality control, और statistical analysis. Sample variance (using n-1) provides एक unbiased estimate जब working के साथ a sample की a larger population.
Enter your dataset values separated द्वारा commas, spaces, या new lines. Select whether your डेटा एक sample या population. The कैलकुलेटर displays variance, standard deviation, sum की squares, degrees की freedom, और provides interpretation की the variance level (low, moderate, high, या very high).
Variance is a statistical measurement that describes the spread of data points in a data set. It calculates how far each number in the set is from the mean (average). A higher variance indicates that the data points are more spread out from the mean, while a lower variance indicates they are closer to the mean.
Population variance calculates the variance for an entire dataset (every member of a specific group). Sample variance estimates the variance based on a subset of the population. The main mathematical difference is the denominator: Population variance divides by $N$ (total count), whereas Sample variance divides by $n-1$ (Bessel's correction) to provide a more accurate estimate of the population variance.
You can enter numbers separated by commas, spaces, or new lines. For example, you can enter '10, 20, 30' or '10 20 30' or list them vertically. Ensure that you do not mix text characters with your numbers.
For Population Variance ($\sigma^2$), the formula is $\frac{\sum(x_i - \mu)^2}{N}$. For Sample Variance ($s^2$), the formula is $\frac{\sum(x_i - \bar{x})^2}{n-1}$, where $x_i$ represents each value, $\mu$ and $\bar{x}$ are the mean, and $N$ and $n$ are the number of data points.
This usually happens if the input field is empty, contains non-numeric characters (like letters or symbols), or if you are trying to calculate Sample variance with only one data point (as division by zero is undefined).
This calculator is designed for raw data lists (ungrouped data). To calculate variance for grouped data, you would need to calculate the weighted mean first, then apply the specific grouped variance formula, which is not supported by this standard input format.
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