分散計算機でデータのばらつきを瞬時に分析する完全ガイド
統計分析の基本である分散を簡単に計算し、データの傾向とリスクを正確に把握しましょう
分散および関連する統計的測度を計算します。統計学におけるデータの広がりと変動性を理解するために不可欠です。
分散および関連する統計的測度を計算します。統計学におけるデータの広がりと変動性を理解するために不可欠です。
計算に必要な値を入力してください
計算結果を表示
Variance measures how far each 番号 in a set is from the mean. It is the square of standard deviation and represents the dispersion of data points around the mean. Variance is used in risk assessment, portfolio theory, quality control, and statistical analysis. Sample variance (using n-1) provides an unbiased estimate when working with a sample of a larger population.
Enter your dataset values separated by commas, spaces, or new lines. Select whether your data is a sample or population. The 計算機 displays variance, standard deviation, 合計 of squares, degrees of freedom, and provides interpretation of the variance level (low, moderate, high, or 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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