{"id":214250,"date":"2023-12-31T10:26:34","date_gmt":"2023-12-31T10:26:34","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/"},"modified":"2023-12-31T10:26:34","modified_gmt":"2023-12-31T10:26:34","slug":"how-do-you-interpret-the-w-value-for-shapiro-wilk","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/","title":{"rendered":"How do you interpret the W value for Shapiro-Wilk?"},"content":{"rendered":"<p>How do you interpret the W value for Shapiro-Wilk?<\/p>\n<p>**The W value for the Shapiro-Wilk test is a statistical measure that determines whether a given data sample comes from a normally distributed population. The value ranges between 0 and 1, with 1 indicating perfect normality and values close to 0 suggesting departure from normality. The closer the W value is to 1, the more likely the data follows a normal distribution.**<\/p>\n<p>The Shapiro-Wilk test is a popular method used to assess the normality assumption in statistical analysis. Understanding how to interpret the W value is crucial for researchers and statisticians when working with data.<\/p>\n<p>Here are answers to 12 frequently asked questions related to interpreting the W value for Shapiro-Wilk:<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_62 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#1_What_does_it_mean_if_the_W_value_is_close_to_1\" title=\"1. What does it mean if the W value is close to 1?\">1. What does it mean if the W value is close to 1?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#2_What_does_it_mean_if_the_W_value_is_less_than_05\" title=\"2. What does it mean if the W value is less than 0.5?\">2. What does it mean if the W value is less than 0.5?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#3_Is_there_a_specific_threshold_to_determine_normality_based_on_the_W_value\" title=\"3. Is there a specific threshold to determine normality based on the W value?\">3. Is there a specific threshold to determine normality based on the W value?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#4_What_if_the_sample_size_is_small\" title=\"4. What if the sample size is small?\">4. What if the sample size is small?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#5_Can_the_Shapiro-Wilk_test_be_used_for_non-parametric_data\" title=\"5. Can the Shapiro-Wilk test be used for non-parametric data?\">5. Can the Shapiro-Wilk test be used for non-parametric data?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#6_What_if_the_data_contains_outliers\" title=\"6. What if the data contains outliers?\">6. What if the data contains outliers?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#7_What_if_my_data_is_positively_skewed\" title=\"7. What if my data is positively skewed?\">7. What if my data is positively skewed?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#8_Can_I_conclude_normality_based_solely_on_the_W_value\" title=\"8. Can I conclude normality based solely on the W value?\">8. Can I conclude normality based solely on the W value?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#9_Is_the_Shapiro-Wilk_test_sensitive_to_changes_in_sample_size\" title=\"9. Is the Shapiro-Wilk test sensitive to changes in sample size?\">9. Is the Shapiro-Wilk test sensitive to changes in sample size?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#10_Can_I_use_the_Shapiro-Wilk_test_for_grouped_data\" title=\"10. Can I use the Shapiro-Wilk test for grouped data?\">10. Can I use the Shapiro-Wilk test for grouped data?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#11_Are_there_any_limitations_to_the_Shapiro-Wilk_test\" title=\"11. Are there any limitations to the Shapiro-Wilk test?\">11. Are there any limitations to the Shapiro-Wilk test?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#12_What_should_I_do_if_my_data_violates_the_normality_assumption\" title=\"12. What should I do if my data violates the normality assumption?\">12. What should I do if my data violates the normality assumption?<\/a><\/li><\/ul><\/nav><\/div>\n<h3><span class=\"ez-toc-section\" id=\"1_What_does_it_mean_if_the_W_value_is_close_to_1\"><\/span>1. What does it mean if the W value is close to 1?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nA W value close to 1 indicates that the data closely follows a normal distribution, suggesting that the assumption of normality is likely met.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"2_What_does_it_mean_if_the_W_value_is_less_than_05\"><\/span>2. What does it mean if the W value is less than 0.5?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nIf the W value is significantly less than 0.5, it suggests that the data deviates considerably from a normal distribution, implying non-normality.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"3_Is_there_a_specific_threshold_to_determine_normality_based_on_the_W_value\"><\/span>3. Is there a specific threshold to determine normality based on the W value?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nDifferent thresholds are used depending on the significance level desired and the sample size. However, a commonly used threshold is 0.05, meaning that if the p-value is less than 0.05, the null hypothesis (data follows a normal distribution) is rejected.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"4_What_if_the_sample_size_is_small\"><\/span>4. What if the sample size is small?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nWith small sample sizes, the power of the Shapiro-Wilk test to detect non-normality is limited. Therefore, it might be challenging to make definitive conclusions based solely on the W value.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"5_Can_the_Shapiro-Wilk_test_be_used_for_non-parametric_data\"><\/span>5. Can the Shapiro-Wilk test be used for non-parametric data?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nNo, the Shapiro-Wilk test assumes the data is normally distributed, making it suitable for parametric data analysis. Non-parametric data requires different tests.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"6_What_if_the_data_contains_outliers\"><\/span>6. What if the data contains outliers?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nOutliers can greatly impact the normality assumption and, consequently, the W value. It is important to address outliers before conducting the Shapiro-Wilk test to obtain a more accurate interpretation.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"7_What_if_my_data_is_positively_skewed\"><\/span>7. What if my data is positively skewed?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nPositive skewness suggests a departure from normality. In such cases, the W value might be lower, indicating non-normality.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"8_Can_I_conclude_normality_based_solely_on_the_W_value\"><\/span>8. Can I conclude normality based solely on the W value?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nWhile the W value is a reliable indicator, it is always recommended to consider multiple diagnostic tests, graphical plots, and domain-specific knowledge to make a definite determination of normality.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"9_Is_the_Shapiro-Wilk_test_sensitive_to_changes_in_sample_size\"><\/span>9. Is the Shapiro-Wilk test sensitive to changes in sample size?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nYes, the Shapiro-Wilk test can be sensitive to changes in sample size. The larger the sample size, the more likely it is to detect deviations from normality.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"10_Can_I_use_the_Shapiro-Wilk_test_for_grouped_data\"><\/span>10. Can I use the Shapiro-Wilk test for grouped data?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nThe Shapiro-Wilk test is typically suited for analyzing ungrouped, continuous data. For grouped data, alternative tests like the Anderson-Darling test might be more appropriate.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"11_Are_there_any_limitations_to_the_Shapiro-Wilk_test\"><\/span>11. Are there any limitations to the Shapiro-Wilk test?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nThe Shapiro-Wilk test assumes that the observations are independent and identically distributed. Additionally, it might not be sensitive to certain types of departures from normality, such as heavy-tailed distributions.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"12_What_should_I_do_if_my_data_violates_the_normality_assumption\"><\/span>12. What should I do if my data violates the normality assumption?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nIf your data violates the assumption of normality, you could consider applying appropriate transformations to achieve normality or explore non-parametric tests as an alternative.<\/p>\n<p>In conclusion, the W value obtained from the Shapiro-Wilk test serves as an important indicator of the normality assumption in statistical analysis. Understanding its interpretation, combined with other diagnostic tests, can help researchers make sound decisions when working with data and choosing appropriate statistical methods.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>How do you interpret the W value for Shapiro-Wilk? **The W value for the Shapiro-Wilk test is a statistical measure that determines whether a given data sample comes from a normally distributed population. The value ranges between 0 and 1, with 1 indicating perfect normality and values close to 0 suggesting departure from normality. The &#8230; <\/p>\n<p class=\"read-more-container\"><a title=\"How do you interpret the W value for Shapiro-Wilk?\" class=\"read-more button\" href=\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#more-214250\">Read more<span class=\"screen-reader-text\">How do you interpret the W value for Shapiro-Wilk?<\/span><\/a><\/p>\n","protected":false},"author":54,"featured_media":107420,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[86279],"tags":[],"class_list":["post-214250","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-learn","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How do you interpret the W value for Shapiro-Wilk?<\/title>\n<meta name=\"description\" content=\"How do you interpret the W value for Shapiro-Wilk? **The W value for the Shapiro-Wilk test is a statistical measure that determines whether a given data\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How do you interpret the W value for Shapiro-Wilk?\" \/>\n<meta property=\"og:description\" content=\"How do you interpret the W value for Shapiro-Wilk? **The W value for the Shapiro-Wilk test is a statistical measure that determines whether a given data\" \/>\n<meta property=\"og:url\" content=\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/\" \/>\n<meta property=\"og:site_name\" content=\"Namso Gen Blog - Free Credit Card Generator [100% Valid]\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/synchronyfinancial\" \/>\n<meta property=\"article:published_time\" content=\"2023-12-31T10:26:34+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/namso-gen.co\/blog\/wp-content\/uploads\/2020\/07\/namso-gen-logo.png\" \/>\n\t<meta property=\"og:image:width\" content=\"500\" \/>\n\t<meta property=\"og:image:height\" content=\"164\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Ronda Lacy\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@synchrony\" \/>\n<meta name=\"twitter:site\" content=\"@synchrony\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ronda Lacy\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/\"},\"author\":{\"name\":\"Ronda Lacy\",\"@id\":\"https:\/\/namso-gen.co\/blog\/#\/schema\/person\/d3f102ae4bbac770c6dd8a38251cb20c\"},\"headline\":\"How do you interpret the W value for Shapiro-Wilk?\",\"datePublished\":\"2023-12-31T10:26:34+00:00\",\"dateModified\":\"2023-12-31T10:26:34+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/\"},\"wordCount\":594,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/namso-gen.co\/blog\/#organization\"},\"articleSection\":[\"Learn\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/\",\"url\":\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/\",\"name\":\"How do you interpret the W value for Shapiro-Wilk?\",\"isPartOf\":{\"@id\":\"https:\/\/namso-gen.co\/blog\/#website\"},\"datePublished\":\"2023-12-31T10:26:34+00:00\",\"dateModified\":\"2023-12-31T10:26:34+00:00\",\"description\":\"How do you interpret the W value for Shapiro-Wilk? **The W value for the Shapiro-Wilk test is a statistical measure that determines whether a given data\",\"breadcrumb\":{\"@id\":\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/namso-gen.co\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"How do you interpret the W value for Shapiro-Wilk?\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/namso-gen.co\/blog\/#website\",\"url\":\"https:\/\/namso-gen.co\/blog\/\",\"name\":\"Namso Gen Blog - Free Credit Card Generator [100% Valid]\",\"description\":\"In Namso gen blog you can get many tips regarding to Credit cards, VCC, Credit card security etc. You can generate credit cards by using Namso-gen.co\",\"publisher\":{\"@id\":\"https:\/\/namso-gen.co\/blog\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/namso-gen.co\/blog\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/namso-gen.co\/blog\/#organization\",\"name\":\"Namso Gen Blog - Free Credit Card Generator [100% Valid]\",\"url\":\"https:\/\/namso-gen.co\/blog\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/namso-gen.co\/blog\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/namso-gen.co\/blog\/wp-content\/uploads\/2020\/07\/namso-gen-logo.png\",\"contentUrl\":\"https:\/\/namso-gen.co\/blog\/wp-content\/uploads\/2020\/07\/namso-gen-logo.png\",\"width\":500,\"height\":164,\"caption\":\"Namso Gen Blog - Free Credit Card Generator [100% Valid]\"},\"image\":{\"@id\":\"https:\/\/namso-gen.co\/blog\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/synchronyfinancial\",\"https:\/\/twitter.com\/synchrony\",\"https:\/\/www.youtube.com\/synchronyfinancial\",\"https:\/\/www.instagram.com\/synchrony\",\"https:\/\/www.linkedin.com\/company\/synchrony-financial\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/namso-gen.co\/blog\/#\/schema\/person\/d3f102ae4bbac770c6dd8a38251cb20c\",\"name\":\"Ronda Lacy\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/namso-gen.co\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/?s=96&d=mm&r=g\",\"caption\":\"Ronda Lacy\"},\"description\":\"Guest author Ronda Lacy has meticulously crafted and revised this article to the best of their knowledge and understanding. Readers are strongly advised to exercise caution, verify information independently, and rely on their own judgment when considering the information provided. Read more articles on Namso Gen here.\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"How do you interpret the W value for Shapiro-Wilk?","description":"How do you interpret the W value for Shapiro-Wilk? **The W value for the Shapiro-Wilk test is a statistical measure that determines whether a given data","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/","og_locale":"en_US","og_type":"article","og_title":"How do you interpret the W value for Shapiro-Wilk?","og_description":"How do you interpret the W value for Shapiro-Wilk? **The W value for the Shapiro-Wilk test is a statistical measure that determines whether a given data","og_url":"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/","og_site_name":"Namso Gen Blog - Free Credit Card Generator [100% Valid]","article_publisher":"https:\/\/www.facebook.com\/synchronyfinancial","article_published_time":"2023-12-31T10:26:34+00:00","og_image":[{"width":500,"height":164,"url":"https:\/\/namso-gen.co\/blog\/wp-content\/uploads\/2020\/07\/namso-gen-logo.png","type":"image\/png"}],"author":"Ronda Lacy","twitter_card":"summary_large_image","twitter_creator":"@synchrony","twitter_site":"@synchrony","twitter_misc":{"Written by":"Ronda Lacy","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#article","isPartOf":{"@id":"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/"},"author":{"name":"Ronda Lacy","@id":"https:\/\/namso-gen.co\/blog\/#\/schema\/person\/d3f102ae4bbac770c6dd8a38251cb20c"},"headline":"How do you interpret the W value for Shapiro-Wilk?","datePublished":"2023-12-31T10:26:34+00:00","dateModified":"2023-12-31T10:26:34+00:00","mainEntityOfPage":{"@id":"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/"},"wordCount":594,"commentCount":0,"publisher":{"@id":"https:\/\/namso-gen.co\/blog\/#organization"},"articleSection":["Learn"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/","url":"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/","name":"How do you interpret the W value for Shapiro-Wilk?","isPartOf":{"@id":"https:\/\/namso-gen.co\/blog\/#website"},"datePublished":"2023-12-31T10:26:34+00:00","dateModified":"2023-12-31T10:26:34+00:00","description":"How do you interpret the W value for Shapiro-Wilk? **The W value for the Shapiro-Wilk test is a statistical measure that determines whether a given data","breadcrumb":{"@id":"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/namso-gen.co\/blog\/how-do-you-interpret-the-w-value-for-shapiro-wilk\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/namso-gen.co\/blog\/"},{"@type":"ListItem","position":2,"name":"How do you interpret the W value for Shapiro-Wilk?"}]},{"@type":"WebSite","@id":"https:\/\/namso-gen.co\/blog\/#website","url":"https:\/\/namso-gen.co\/blog\/","name":"Namso Gen Blog - Free Credit Card Generator [100% Valid]","description":"In Namso gen blog you can get many tips regarding to Credit cards, VCC, Credit card security etc. You can generate credit cards by using Namso-gen.co","publisher":{"@id":"https:\/\/namso-gen.co\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/namso-gen.co\/blog\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/namso-gen.co\/blog\/#organization","name":"Namso Gen Blog - Free Credit Card Generator [100% Valid]","url":"https:\/\/namso-gen.co\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/namso-gen.co\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/namso-gen.co\/blog\/wp-content\/uploads\/2020\/07\/namso-gen-logo.png","contentUrl":"https:\/\/namso-gen.co\/blog\/wp-content\/uploads\/2020\/07\/namso-gen-logo.png","width":500,"height":164,"caption":"Namso Gen Blog - Free Credit Card Generator [100% Valid]"},"image":{"@id":"https:\/\/namso-gen.co\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/synchronyfinancial","https:\/\/twitter.com\/synchrony","https:\/\/www.youtube.com\/synchronyfinancial","https:\/\/www.instagram.com\/synchrony","https:\/\/www.linkedin.com\/company\/synchrony-financial"]},{"@type":"Person","@id":"https:\/\/namso-gen.co\/blog\/#\/schema\/person\/d3f102ae4bbac770c6dd8a38251cb20c","name":"Ronda Lacy","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/namso-gen.co\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/?s=96&d=mm&r=g","caption":"Ronda Lacy"},"description":"Guest author Ronda Lacy has meticulously crafted and revised this article to the best of their knowledge and understanding. Readers are strongly advised to exercise caution, verify information independently, and rely on their own judgment when considering the information provided. Read more articles on Namso Gen here."}]}},"_links":{"self":[{"href":"https:\/\/namso-gen.co\/blog\/wp-json\/wp\/v2\/posts\/214250","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/namso-gen.co\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/namso-gen.co\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/namso-gen.co\/blog\/wp-json\/wp\/v2\/users\/54"}],"replies":[{"embeddable":true,"href":"https:\/\/namso-gen.co\/blog\/wp-json\/wp\/v2\/comments?post=214250"}],"version-history":[{"count":0,"href":"https:\/\/namso-gen.co\/blog\/wp-json\/wp\/v2\/posts\/214250\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/namso-gen.co\/blog\/wp-json\/wp\/v2\/media\/107420"}],"wp:attachment":[{"href":"https:\/\/namso-gen.co\/blog\/wp-json\/wp\/v2\/media?parent=214250"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/namso-gen.co\/blog\/wp-json\/wp\/v2\/categories?post=214250"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/namso-gen.co\/blog\/wp-json\/wp\/v2\/tags?post=214250"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}