{"info":{"_postman_id":"432e8e44-70af-482d-8a4a-b522265d880b","name":"DOWELL NORMALITY TEST API","description":"<html><head></head><body><h4 id=\"introduction\">INTRODUCTION</h4>\n<p>Welcome to the DoWell Normality Test API documentation. The API allows you to perform a normality test on datasets using the Dowell method. This test assesses whether a given dataset follows a normal distribution or not. The API takes input parameters, performs calculations, and provides a detailed analysis of the normality of the dataset.</p>\n<h4 id=\"api-versioning\"><strong>API VERSIONING</strong></h4>\n<p>The DoWell Normality Test API is currently in version 2. As the API evolves and new features are introduced, we may release new versions to provide backward compatibility and allow for smoother transitions.</p>\n<h4 id=\"error-handling\"><strong>ERROR HANDLING</strong></h4>\n<p>We've made error handling an intuitive and user-friendly experience. When interacting with our API, standard HTTP status codes will be returned, accurately signaling the success or failure of your requests.</p>\n</body></html>","schema":"https://schema.getpostman.com/json/collection/v2.0.0/collection.json","toc":[],"owner":"24860974","collectionId":"432e8e44-70af-482d-8a4a-b522265d880b","publishedId":"2s9Y5YRN6r","public":true,"customColor":{"top-bar":"FFFFFF","right-sidebar":"303030","highlight":"FF6C37"},"publishDate":"2023-08-26T10:48:35.000Z"},"item":[{"name":"check normality","id":"42ee9a53-bfcb-4600-bffe-a2431e70a8be","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"body":{"mode":"raw","raw":"{\r\n    \"api_key\": <str: your-api-key>,\r\n    \"Process_id\": 8020,\r\n    \"allowable_error\":5,\r\n    \"ind_dev\":1,\r\n    \"bins\":100,\r\n    \"slope_percentage_deviation\":50\r\n}","options":{"raw":{"language":"json"}}},"url":"{{base_url}}/public","description":"<p>This end-point assesses whether the 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\"allowedError\": 5,\n    \"series_count\": 3,\n    \"calculations\": {\n        \"list1\": {\n            \"normality\": \"no\",\n            \"auc_z_scores\": 2.1199999999999997,\n            \"actual_areas\": 7.262915106225924,\n            \"rectangle_area\": 6.400009074534987,\n            \"Kurt\": \"Leptokurtic curve\",\n            \"ind_dev\": 1,\n            \"slope\": [\n                0.37034986128436825\n            ],\n            \"slope_percentage_deviation\": 0.5,\n            \"calculated_slope\": 1.0713287159307057,\n            \"evidence_counter\": {\n                \"Mean equals to Median\": {\n                    \"Mean is within deviation\": \"yes\",\n                    \"Median is within deviation\": \"yes\"\n                },\n                \"Mean equals to Mode\": {\n                    \"Mean is within deviation\": \"yes\",\n                    \"Mode is within deviation\": \"yes\"\n                },\n                \"Mode equals to Median\": {\n     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\"Points in Range3\": \"no\",\n                \"Satifies sigmoid function whose mirror image will give bell shaped curve\": \"no\",\n                \"Rotational Symmetric\": \"no\"\n            }\n        },\n        \"list3\": {\n            \"normality\": \"no\",\n            \"auc_z_scores\": 2.71,\n            \"actual_areas\": 7.392034942548944,\n            \"rectangle_area\": 5.093978987167361,\n            \"Kurt\": \"Leptokurtic curve\",\n            \"ind_dev\": 1,\n            \"slope\": [\n                0.36821475089468625\n            ],\n            \"slope_percentage_deviation\": 0.00005,\n            \"calculated_slope\": 1.3459127616077298,\n            \"evidence_counter\": {\n                \"Mean equals to Median\": {\n                    \"Mean is within deviation\": \"yes\",\n                    \"Median is within deviation\": \"yes\"\n                },\n                \"Mean equals to Mode\": {\n                    \"Mean is within deviation\": \"yes\",\n  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