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  2. Sample mean and covariance - Wikipedia

    en.wikipedia.org/wiki/Sample_mean_and_covariance

    Learn how to calculate and interpret the sample mean and covariance, statistics computed from a sample of data on one or more random variables. The sample mean is the average value of a sample, and the sample covariance is a matrix of pairwise correlations between variables.

  3. Standard deviation - Wikipedia

    en.wikipedia.org/wiki/Standard_deviation

    Learn how to calculate the standard deviation of a random variable, a sample, or a population using different formulas and examples. The standard deviation measures the amount of variation of a data set around its mean.

  4. Algorithms for calculating variance - Wikipedia

    en.wikipedia.org/wiki/Algorithms_for_calculating...

    Welford's algorithm is a numerically stable way to compute the variance of a sequence in a single pass, using the sum of squares of differences from the mean. Learn the formula, implementation, and analysis of this algorithm, as well as its variations and alternatives.

  5. Variance - Wikipedia

    en.wikipedia.org/wiki/Variance

    Variance is a measure of how far a set of numbers is spread out from their average value. It is the expected value of the squared deviation from the mean of a random variable, and it has various properties and applications in probability and statistics.

  6. Unbiased estimation of standard deviation - Wikipedia

    en.wikipedia.org/wiki/Unbiased_estimation_of...

    In statistics and in particular statistical theory, unbiased estimation of a standard deviation is the calculation from a statistical sample of an estimated value of the standard deviation (a measure of statistical dispersion) of a population of values, in such a way that the expected value of the calculation equals the true value.

  7. Bias of an estimator - Wikipedia

    en.wikipedia.org/wiki/Bias_of_an_estimator

    Learn the definition and examples of bias and unbiasedness of an estimator in statistics. Compare different types of bias and unbiasedness, such as mean-unbiasedness and median-unbiasedness, and how they affect the performance of estimators.

  8. Bessel's correction - Wikipedia

    en.wikipedia.org/wiki/Bessel's_correction

    Bessel's correction is the use of n − 1 instead of n in the formula for the sample variance and standard deviation. It corrects the bias in the estimation of the population variance, but not the standard deviation.

  9. Student's t-distribution - Wikipedia

    en.wikipedia.org/wiki/Student's_t-distribution

    Learn about the t distribution, a continuous probability distribution that generalizes the normal distribution and is used in statistical tests and confidence intervals. Find out its history, definition, properties, moments, and special cases.