Statistics Calculator
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Updated
Jan 14, 2024 - JavaScript
Statistics Calculator
In this project,I gained experience with handling user input, DOM manipulation, and method chaining and get practice by performing statistical calculations like mean, median, mode, variance, and standard deviation.
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
Calculate the standard deviation of a strided array ignoring NaN values and using a two-pass algorithm.
Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
Create an iterator which iteratively computes a cumulative range.
Erlang distribution variance.
Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Create an iterator which iteratively computes a moving range.
Lévy distribution variance.
Compute the range of all iterated values.
Easy node.js online mean, variance and standard deviation library.
Calculate the variance of a double-precision floating-point strided array provided a known mean and using a one-pass textbook algorithm.
Compute a minimum and maximum incrementally.
Arcsine distribution variance.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
Calculate the standard deviation of a strided array using a one-pass textbook algorithm.
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.
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