{"id":28970093,"url":"https://github.com/stdlib-js/stats-strided-dztest","last_synced_at":"2026-05-16T18:38:22.366Z","repository":{"id":300013807,"uuid":"1004926632","full_name":"stdlib-js/stats-strided-dztest","owner":"stdlib-js","description":"Compute a one-sample Z-test for a double-precision floating-point strided array.","archived":false,"fork":false,"pushed_at":"2025-07-21T02:02:02.000Z","size":1403,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-07-21T04:06:02.059Z","etag":null,"topics":["array","double","float64","float64array","hypothesis","javascript","math","mathematics","node","node-js","nodejs","statistics","stats","stdlib","strided","strided-array","testing","typed","z-test","ztest"],"latest_commit_sha":null,"homepage":"https://github.com/stdlib-js/stdlib","language":"JavaScript","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/stdlib-js.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null},"funding":{"github":["stdlib-js"],"open_collective":"stdlib","tidelift":"npm/@stdlib/stdlib"}},"created_at":"2025-06-19T11:51:12.000Z","updated_at":"2025-07-21T02:00:11.000Z","dependencies_parsed_at":"2025-06-19T12:51:48.818Z","dependency_job_id":null,"html_url":"https://github.com/stdlib-js/stats-strided-dztest","commit_stats":null,"previous_names":["stdlib-js/stats-strided-dztest"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/stdlib-js/stats-strided-dztest","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fstats-strided-dztest","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fstats-strided-dztest/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fstats-strided-dztest/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fstats-strided-dztest/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/stdlib-js","download_url":"https://codeload.github.com/stdlib-js/stats-strided-dztest/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fstats-strided-dztest/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266382823,"owners_count":23920788,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-07-21T11:47:31.412Z","response_time":64,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["array","double","float64","float64array","hypothesis","javascript","math","mathematics","node","node-js","nodejs","statistics","stats","stdlib","strided","strided-array","testing","typed","z-test","ztest"],"created_at":"2025-06-24T10:19:53.979Z","updated_at":"2026-05-16T18:38:22.359Z","avatar_url":"https://github.com/stdlib-js.png","language":"JavaScript","funding_links":["https://github.com/sponsors/stdlib-js","https://opencollective.com/stdlib","https://tidelift.com/funding/github/npm/@stdlib/stdlib"],"categories":[],"sub_categories":[],"readme":"\u003c!--\n\n@license Apache-2.0\n\nCopyright (c) 2025 The Stdlib Authors.\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n   http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n\n--\u003e\n\n\u003c!-- lint disable max-heading-length --\u003e\n\n\n\u003cdetails\u003e\n  \u003csummary\u003e\n    About stdlib...\n  \u003c/summary\u003e\n  \u003cp\u003eWe believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.\u003c/p\u003e\n  \u003cp\u003eThe library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.\u003c/p\u003e\n  \u003cp\u003eWhen you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.\u003c/p\u003e\n  \u003cp\u003eTo join us in bringing numerical computing to the web, get started by checking us out on \u003ca href=\"https://github.com/stdlib-js/stdlib\"\u003eGitHub\u003c/a\u003e, and please consider \u003ca href=\"https://opencollective.com/stdlib\"\u003efinancially supporting stdlib\u003c/a\u003e. We greatly appreciate your continued support!\u003c/p\u003e\n\u003c/details\u003e\n\n# dztest\n\n[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] \u003c!-- [![dependencies][dependencies-image]][dependencies-url] --\u003e\n\n\u003e Compute a one-sample Z-test for a double-precision floating-point strided array.\n\n\u003csection class=\"intro\"\u003e\n\nA Z-test commonly refers to a one-sample location test which compares the mean of a set of measurements `X` to a given constant when the standard deviation is known. A Z-test supports testing three different null hypotheses `H0`:\n\n-   `H0: μ ≥ μ0` versus the alternative hypothesis `H1: μ \u003c μ0`.\n-   `H0: μ ≤ μ0` versus the alternative hypothesis `H1: μ \u003e μ0`.\n-   `H0: μ = μ0` versus the alternative hypothesis `H1: μ ≠ μ0`.\n\n\u003c/section\u003e\n\n\u003c!-- /.intro --\u003e\n\n\u003csection class=\"installation\"\u003e\n\n## Installation\n\n```bash\nnpm install @stdlib/stats-strided-dztest\n```\n\nAlternatively,\n\n-   To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]).\n-   If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions).\n-   For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]).\n\nThe [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships.\n\nTo view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.\n\n\u003c/section\u003e\n\n\u003csection class=\"usage\"\u003e\n\n## Usage\n\n```javascript\nvar dztest = require( '@stdlib/stats-strided-dztest' );\n```\n\n#### dztest( N, alternative, alpha, mu, sigma, x, strideX, out )\n\nComputes a one-sample Z-test for a double-precision floating-point strided array.\n\n```javascript\nvar Results = require( '@stdlib/stats-base-ztest-one-sample-results-float64' );\nvar Float64Array = require( '@stdlib/array-float64' );\n\nvar x = new Float64Array( [ 4.0, 4.0, 6.0, 6.0, 5.0 ] );\n\nvar results = new Results();\nvar out = dztest( x.length, 'two-sided', 0.05, 0.0, 1.0, x, 1, results );\n// returns {...}\n\nvar bool = ( out === results );\n// returns true\n```\n\nThe function has the following parameters:\n\n-   **N**: number of indexed elements.\n-   **alternative**: [alternative hypothesis][@stdlib/stats/base/ztest/alternatives].\n-   **alpha**: significance level.\n-   **mu**: mean value under the null hypothesis.\n-   **sigma**: known standard deviation.\n-   **x**: input [`Float64Array`][@stdlib/array/float64].\n-   **strideX**: stride length for `x`.\n-   **out**: output [results object][@stdlib/stats/base/ztest/one-sample/results/float64].\n\nThe `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to perform a one-sample Z-test over every other element in `x`,\n\n\u003c!-- eslint-disable max-len --\u003e\n\n```javascript\nvar Results = require( '@stdlib/stats-base-ztest-one-sample-results-float64' );\nvar Float64Array = require( '@stdlib/array-float64' );\n\nvar x = new Float64Array( [ 4.0, 0.0, 4.0, 0.0, 6.0, 0.0, 6.0, 0.0, 5.0, 0.0 ] );\n\nvar results = new Results();\nvar out = dztest( 5, 'two-sided', 0.05, 0.0, 1.0, x, 2, results );\n// returns {...}\n\nvar bool = ( out === results );\n// returns true\n```\n\nNote that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.\n\n\u003c!-- eslint-disable stdlib/capitalized-comments --\u003e\n\n```javascript\nvar Results = require( '@stdlib/stats-base-ztest-one-sample-results-float64' );\nvar Float64Array = require( '@stdlib/array-float64' );\n\nvar x0 = new Float64Array( [ 0.0, 4.0, 4.0, 6.0, 6.0, 5.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element\n\nvar results = new Results();\nvar out = dztest( x1.length, 'two-sided', 0.05, 0.0, 1.0, x1, 1, results );\n// returns {...}\n\nvar bool = ( out === results );\n// returns true\n```\n\n#### dztest.ndarray( N, alternative, alpha, mu, sigma, x, strideX, offsetX, out )\n\nComputes a one-sample Z-test for a double-precision floating-point strided array using alternative indexing semantics.\n\n```javascript\nvar Results = require( '@stdlib/stats-base-ztest-one-sample-results-float64' );\nvar Float64Array = require( '@stdlib/array-float64' );\n\nvar x = new Float64Array( [ 4.0, 4.0, 6.0, 6.0, 5.0 ] );\n\nvar results = new Results();\nvar out = dztest.ndarray( x.length, 'two-sided', 0.05, 0.0, 1.0, x, 1, 0, results );\n// returns {...}\n\nvar bool = ( out === results );\n// returns true\n```\n\nThe function has the following additional parameters:\n\n-   **offsetX**: starting index for `x`.\n\nWhile [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to perform a one-sample Z-test over every other element in `x` starting from the second element\n\n```javascript\nvar Results = require( '@stdlib/stats-base-ztest-one-sample-results-float64' );\nvar Float64Array = require( '@stdlib/array-float64' );\n\nvar x = new Float64Array( [ 0.0, 4.0, 0.0, 4.0, 0.0, 6.0, 0.0, 6.0, 0.0, 5.0 ] );\n\nvar results = new Results();\nvar out = dztest.ndarray( 5, 'two-sided', 0.05, 0.0, 1.0, x, 2, 1, results );\n// returns {...}\n\nvar bool = ( out === results );\n// returns true\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.usage --\u003e\n\n\u003csection class=\"notes\"\u003e\n\n## Notes\n\n-   As a general rule of thumb, a Z-test is most reliable when `N \u003e= 50`. For smaller sample sizes or when the standard deviation is unknown, prefer a t-test.\n\n\u003c/section\u003e\n\n\u003c!-- /.notes --\u003e\n\n\u003csection class=\"examples\"\u003e\n\n## Examples\n\n\u003c!-- eslint no-undef: \"error\" --\u003e\n\n```javascript\nvar Results = require( '@stdlib/stats-base-ztest-one-sample-results-float64' );\nvar normal = require( '@stdlib/random-array-normal' );\nvar dztest = require( '@stdlib/stats-strided-dztest' );\n\nvar x = normal( 1000, 0.0, 1.0, {\n    'dtype': 'float64'\n});\n\nvar results = new Results();\nvar out = dztest( x.length, 'two-sided', 0.05, 0.0, 1.0, x, 1, results );\n// returns {...}\n\nconsole.log( out.toString() );\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.examples --\u003e\n\n\u003c!-- C interface documentation. --\u003e\n\n* * *\n\n\u003csection class=\"c\"\u003e\n\n## C APIs\n\n\u003c!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"intro\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.intro --\u003e\n\n\u003c!-- C usage documentation. --\u003e\n\n\u003csection class=\"usage\"\u003e\n\n### Usage\n\n```c\n#include \"stdlib/stats/strided/dztest.h\"\n```\n\n#### stdlib_strided_dztest( N, alternative, alpha, mu, sigma, \\*X, strideX, \\*results )\n\nComputes a one-sample Z-test for a double-precision floating-point strided array.\n\n```c\n#include \"stdlib/stats/base/ztest/one-sample/results/float64.h\"\n#include \"stdlib/stats/base/ztest/alternatives.h\"\n\nstruct stdlib_stats_ztest_one_sample_float64_results results = {\n    .rejected = false,\n    .alpha = 0.0,\n    .alternative = STDLIB_STATS_ZTEST_TWO_SIDED,\n    .pValue = 0.0,\n    .statistic = 0.0,\n    .ci = { 0.0, 0.0 },\n    .nullValue = 0.0,\n    .sd = 0.0\n};\n\nconst double x[] = { 4.0, 4.0, 6.0, 6.0, 5.0 };\n\nstdlib_strided_dztest( 5, STDLIB_STATS_ZTEST_TWO_SIDED, 0.05, 0.0, 1.0, x, 1, \u0026results );\n```\n\nThe function accepts the following arguments:\n\n-   **N**: `[in] CBLAS_INT` number of indexed elements.\n-   **alternative**: `[in] enum STDLIB_STATS_ZTEST_ALTERNATIVE` [alternative hypothesis][@stdlib/stats/base/ztest/alternatives].\n-   **alpha**: `[in] double` significance level.\n-   **mu**: `[in] double` value of the mean under the null hypothesis.\n-   **sigma** `[in] double` known standard deviation.\n-   **X**: `[in] double*` input array.\n-   **strideX**: `[in] CBLAS_INT` stride length for `X`.\n-   **results**: `[out] struct stdlib_stats_ztest_one_sample_results_float64*` output [results object][@stdlib/stats/base/ztest/one-sample/results/float64].\n\n```c\nvoid stdlib_strided_dztest( const CBLAS_INT N, const enum STDLIB_STATS_ZTEST_ALTERNATIVE alternative, const double alpha, const double mu, const double sigma, const double *X, const CBLAS_INT strideX, struct stdlib_stats_ztest_one_sample_float64_results *results );\n```\n\n#### stdlib_strided_dztest_ndarray( N, alternative, alpha, mu, sigma, \\*X, strideX, offsetX, \\*results )\n\nComputes a one-sample Z-test for a double-precision floating-point strided array using alternative indexing semantics.\n\n```c\n#include \"stdlib/stats/base/ztest/one-sample/results/float64.h\"\n#include \"stdlib/stats/base/ztest/alternatives.h\"\n\nstruct stdlib_stats_ztest_one_sample_float64_results results = {\n    .rejected = false,\n    .alpha = 0.0,\n    .alternative = STDLIB_STATS_ZTEST_TWO_SIDED,\n    .pValue = 0.0,\n    .statistic = 0.0,\n    .ci = { 0.0, 0.0 },\n    .nullValue = 0.0,\n    .sd = 0.0\n};\n\nconst double x[] = { 4.0, 4.0, 6.0, 6.0, 5.0 };\n\nstdlib_strided_dztest_ndarray( 5, STDLIB_STATS_ZTEST_TWO_SIDED, 0.05, 0.0, 1.0, x, 1, 0, \u0026results );\n```\n\nThe function accepts the following arguments:\n\n-   **N**: `[in] CBLAS_INT` number of indexed elements.\n-   **alternative**: `[in] enum STDLIB_STATS_ZTEST_ALTERNATIVE` [alternative hypothesis][@stdlib/stats/base/ztest/alternatives].\n-   **alpha**: `[in] double` significance level.\n-   **mu**: `[in] double` value of the mean under the null hypothesis.\n-   **sigma** `[in] double` known standard deviation.\n-   **X**: `[in] double*` input array.\n-   **strideX**: `[in] CBLAS_INT` stride length for `X`.\n-   **offsetX**: `[in] CBLAS_INT` starting index for `X`.\n-   **results**: `[out] struct stdlib_stats_ztest_one_sample_results_float64*` output [results object][@stdlib/stats/base/ztest/one-sample/results/float64].\n\n```c\nvoid stdlib_strided_dztest_ndarray( const CBLAS_INT N, const enum STDLIB_STATS_ZTEST_ALTERNATIVE alternative, const double alpha, const double mu, const double sigma, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, struct stdlib_stats_ztest_one_sample_float64_results *results );\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.usage --\u003e\n\n\u003c!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"notes\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.notes --\u003e\n\n\u003c!-- C API usage examples. --\u003e\n\n\u003csection class=\"examples\"\u003e\n\n### Examples\n\n```c\n#include \"stdlib/stats/strided/dztest.h\"\n#include \"stdlib/stats/base/ztest/one-sample/results/float64.h\"\n#include \"stdlib/stats/base/ztest/alternatives.h\"\n#include \u003cstdbool.h\u003e\n#include \u003cstdio.h\u003e\n\nint main( void ) {\n    // Create a strided array:\n    const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 };\n\n    // Specify the number of elements:\n    const int N = 4;\n\n    // Specify the stride length:\n    const int strideX = 2;\n\n    // Initialize a results object:\n    struct stdlib_stats_ztest_one_sample_float64_results results = {\n        .rejected = false,\n        .alpha = 0.0,\n        .alternative = STDLIB_STATS_ZTEST_TWO_SIDED,\n        .pValue = 0.0,\n        .statistic = 0.0,\n        .ci = { 0.0, 0.0 },\n        .nullValue = 0.0,\n        .sd = 0.0\n    };\n\n    // Compute a Z-test:\n    stdlib_strided_dztest( N, STDLIB_STATS_ZTEST_TWO_SIDED, 0.05, 5.0, 3.0, x, strideX, \u0026results );\n\n    // Print the result:\n    printf( \"Statistic: %lf\\n\", results.statistic );\n    printf( \"Null hypothesis was %s\\n\", ( results.rejected ) ? \"rejected\" : \"not rejected\" );\n}\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.examples --\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.c --\u003e\n\n\u003csection class=\"references\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.references --\u003e\n\n\u003c!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. --\u003e\n\n\u003csection class=\"related\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.related --\u003e\n\n\u003c!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\n\u003csection class=\"main-repo\" \u003e\n\n* * *\n\n## Notice\n\nThis package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.\n\nFor more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib].\n\n#### Community\n\n[![Chat][chat-image]][chat-url]\n\n---\n\n## License\n\nSee [LICENSE][stdlib-license].\n\n\n## Copyright\n\nCopyright \u0026copy; 2016-2026. The Stdlib [Authors][stdlib-authors].\n\n\u003c/section\u003e\n\n\u003c!-- /.stdlib --\u003e\n\n\u003c!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"links\"\u003e\n\n[npm-image]: http://img.shields.io/npm/v/@stdlib/stats-strided-dztest.svg\n[npm-url]: https://npmjs.org/package/@stdlib/stats-strided-dztest\n\n[test-image]: https://github.com/stdlib-js/stats-strided-dztest/actions/workflows/test.yml/badge.svg?branch=main\n[test-url]: https://github.com/stdlib-js/stats-strided-dztest/actions/workflows/test.yml?query=branch:main\n\n[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/stats-strided-dztest/main.svg\n[coverage-url]: https://codecov.io/github/stdlib-js/stats-strided-dztest?branch=main\n\n\u003c!--\n\n[dependencies-image]: https://img.shields.io/david/stdlib-js/stats-strided-dztest.svg\n[dependencies-url]: https://david-dm.org/stdlib-js/stats-strided-dztest/main\n\n--\u003e\n\n[chat-image]: https://img.shields.io/badge/zulip-join_chat-brightgreen.svg\n[chat-url]: https://stdlib.zulipchat.com\n\n[stdlib]: https://github.com/stdlib-js/stdlib\n\n[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors\n\n[umd]: https://github.com/umdjs/umd\n[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules\n\n[deno-url]: https://github.com/stdlib-js/stats-strided-dztest/tree/deno\n[deno-readme]: https://github.com/stdlib-js/stats-strided-dztest/blob/deno/README.md\n[umd-url]: https://github.com/stdlib-js/stats-strided-dztest/tree/umd\n[umd-readme]: https://github.com/stdlib-js/stats-strided-dztest/blob/umd/README.md\n[esm-url]: https://github.com/stdlib-js/stats-strided-dztest/tree/esm\n[esm-readme]: https://github.com/stdlib-js/stats-strided-dztest/blob/esm/README.md\n[branches-url]: https://github.com/stdlib-js/stats-strided-dztest/blob/main/branches.md\n\n[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-strided-dztest/main/LICENSE\n\n[@stdlib/array/float64]: https://github.com/stdlib-js/array-float64\n\n[@stdlib/stats/base/ztest/alternatives]: https://github.com/stdlib-js/stats-base-ztest-alternatives\n\n[@stdlib/stats/base/ztest/one-sample/results/float64]: https://github.com/stdlib-js/stats-base-ztest-one-sample-results-float64\n\n[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray\n\n\u003c/section\u003e\n\n\u003c!-- /.links --\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Fstats-strided-dztest","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstdlib-js%2Fstats-strided-dztest","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Fstats-strided-dztest/lists"}