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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1685f915feee8c7d26b90643d00105b4b6803eb4/lib/node_modules/@stdlib/stats/base/stdevtk/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1685f915feee8c7d26b90643d00105b4b6803eb4/lib/node_modules/@stdlib/stats/strided/stdevtk/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
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<br>
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</div> -->
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@@ -48,7 +48,7 @@ where the population mean is given by
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1685f915feee8c7d26b90643d00105b4b6803eb4/lib/node_modules/@stdlib/stats/base/stdevtk/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1685f915feee8c7d26b90643d00105b4b6803eb4/lib/node_modules/@stdlib/stats/strided/stdevtk/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1685f915feee8c7d26b90643d00105b4b6803eb4/lib/node_modules/@stdlib/stats/base/stdevtk/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1685f915feee8c7d26b90643d00105b4b6803eb4/lib/node_modules/@stdlib/stats/strided/stdevtk/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
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<br>
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</div> -->
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1685f915feee8c7d26b90643d00105b4b6803eb4/lib/node_modules/@stdlib/stats/base/stdevtk/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1685f915feee8c7d26b90643d00105b4b6803eb4/lib/node_modules/@stdlib/stats/strided/stdevtk/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/base/README.md
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- <spanclass="signature">[`stdev( N, correction, x, strideX )`][@stdlib/stats/base/stdev]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a strided array.</span>
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- <spanclass="signature">[`stdevch( N, correction, x, strideX )`][@stdlib/stats/base/stdevch]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
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- <spanclass="signature">[`stdevpn( N, correction, x, strideX )`][@stdlib/stats/base/stdevpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a strided array using a two-pass algorithm.</span>
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- <spanclass="signature">[`stdevtk( N, correction, x, stride )`][@stdlib/stats/base/stdevtk]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a strided array using a one-pass textbook algorithm.</span>
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- <spanclass="signature">[`stdevtk( N, correction, x, stride )`][@stdlib/stats/strided/stdevtk]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a strided array using a one-pass textbook algorithm.</span>
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- <spanclass="signature">[`stdevwd( N, correction, x, stride )`][@stdlib/stats/strided/stdevwd]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a strided array using Welford's algorithm.</span>
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- <spanclass="signature">[`stdevyc( N, correction, x, stride )`][@stdlib/stats/strided/stdevyc]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <spanclass="signature">[`variance( N, correction, x, strideX )`][@stdlib/stats/strided/variance]</span><spanclass="delimiter">: </span><spanclass="description">calculate the variance of a strided array.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/nanvariancetk`][@stdlib/stats/base/nanvariancetk]</span><spanclass="delimiter">: </span><spanclass="description">calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/nanstdev`][@stdlib/stats/base/nanstdev]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a strided array ignoring NaN values.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/snanstdevtk`][@stdlib/stats/base/snanstdevtk]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/stdevtk`][@stdlib/stats/base/stdevtk]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a strided array using a one-pass textbook algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats/strided/stdevtk`][@stdlib/stats/strided/stdevtk]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a strided array using a one-pass textbook algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dstdev`][@stdlib/stats/strided/dstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dvariancetk`][@stdlib/stats/strided/dvariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/sstdevtk`][@stdlib/stats/strided/sstdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/stdevtk`][@stdlib/stats/base/stdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass textbook algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/stdevtk`][@stdlib/stats/strided/stdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass textbook algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dstdevtk`][@stdlib/stats/strided/dstdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanstdevtk`][@stdlib/stats/base/snanstdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/sstdev`][@stdlib/stats/strided/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/base/stdevtk`][@stdlib/stats/base/stdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass textbook algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/stdevtk`][@stdlib/stats/strided/stdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass textbook algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/svariancetk`][@stdlib/stats/strided/svariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.</span>
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