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statistics ToolUpdated 2026-09-22

T Score Calculator

Analyze data sets and statistical distributions with our free t score calculator. Computes sample variance, population variance, interquartile ranges (IQR), and outliers instantly.

Educational Disclaimer: Just ask and get calculations and formulas are provided strictly for educational and informational purposes. Verify critical computations independently before executing legal, engineering, or binding financial transactions.

Formula & Mathematical Methodology

Sample Variance s² = ∑(x - x̄)² / (n - 1) | Population Variance σ² = ∑(x - μ)² / N

Calculates the arithmetic mean, sums squared deviations from the mean, and divides by degrees of freedom.

How to Use This T Score Calculator

  1. Enter numbers separated by commas or spaces in the dataset box.
  2. Choose Sample (n-1) or Population (N) variance mode.
  3. View the mean, variance, standard deviation, quartiles, and detected outliers.

Step-by-Step Worked Example

Scenario: Dataset: 12, 18, 25, 29, 34, 38, 42, 55

1. Count n = 8, Sum = 253, Mean = 31.625
2. Sum of squared deviations ∑(x - x̄)² = 1,323.875
3. Sample variance: 1,323.875 ÷ (8 - 1) = 189.125
4. Sample standard deviation: √189.125 = 13.75
5. Q1 = 21.5, Median (Q2) = 31.5, Q3 = 40.0, IQR = 18.5
Final Calculated Result: Variance = 189.125, Std Dev = 13.75, IQR = 18.5

What Does Your Result Mean?

Measures dispersion and variability around the central tendency of the dataset.

Common Practical Applications:

  • Data science & statistical research
  • Hypothesis testing & quality control
  • Identifying anomaly and outlier values

Important Limitations & Assumptions:

  • Requires at least 2 distinct numerical values for sample variance calculation.

Frequently Asked Questions

What is the difference between sample and population variance?

Sample variance divides by (n - 1) (Bessel's correction) to provide an unbiased estimator of an unknown population variance.

How is an outlier mathematically defined?

Under Tukey's fence rule, any data point less than Q1 - 1.5×IQR or greater than Q3 + 1.5×IQR is considered a statistical outlier.