{"id":216405,"date":"2025-04-10T02:55:03","date_gmt":"2025-04-10T02:55:03","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/"},"modified":"2025-04-10T02:55:03","modified_gmt":"2025-04-10T02:55:03","slug":"what-p-value-should-you-use-based-on-sample-size","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/","title":{"rendered":"What P value should you use based on sample size?"},"content":{"rendered":"<p>When conducting statistical hypothesis tests, the p value plays a crucial role in determining the significance of results. The p value represents the probability of obtaining the observed data or more extreme results if the null hypothesis were true. Traditionally, a p value threshold of 0.05 (or 5%) has been widely used to determine statistical significance. However, it is important to consider the sample size when deciding what p value to use. The sample size affects the power of the test and determines the level of confidence in the results.<\/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-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/#Understanding_the_Relationship_between_Sample_Size_and_P_Value\" title=\"Understanding the Relationship between Sample Size and P Value\">Understanding the Relationship between Sample Size and P Value<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/#The_Impact_of_Sample_Size_on_Power_and_Accuracy\" title=\"The Impact of Sample Size on Power and Accuracy\">The Impact of Sample Size on Power and Accuracy<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/#Frequently_Asked_Questions_FAQs\" title=\"Frequently Asked Questions (FAQs)\">Frequently Asked Questions (FAQs)<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/#1_How_does_sample_size_affect_the_p_value\" title=\"1. How does sample size affect the p value?\">1. How does sample size affect the p value?<\/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\/what-p-value-should-you-use-based-on-sample-size\/#2_What_is_the_significance_of_the_p_value\" title=\"2. What is the significance of the p value?\">2. What is the significance of the p value?<\/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\/what-p-value-should-you-use-based-on-sample-size\/#3_Why_is_it_important_to_adjust_the_p_value_based_on_sample_size\" title=\"3. Why is it important to adjust the p value based on sample size?\">3. Why is it important to adjust the p value based on sample size?<\/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\/what-p-value-should-you-use-based-on-sample-size\/#4_What_is_the_Bonferroni_correction\" title=\"4. What is the Bonferroni correction?\">4. What is the Bonferroni correction?<\/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\/what-p-value-should-you-use-based-on-sample-size\/#5_When_should_the_Holm-Bonferroni_correction_be_used\" title=\"5. When should the Holm-Bonferroni correction be used?\">5. When should the Holm-Bonferroni correction be used?<\/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\/what-p-value-should-you-use-based-on-sample-size\/#6_How_does_sample_size_impact_statistical_power\" title=\"6. How does sample size impact statistical power?\">6. How does sample size impact statistical power?<\/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\/what-p-value-should-you-use-based-on-sample-size\/#7_What_is_the_relationship_between_sample_size_and_confidence_intervals\" title=\"7. What is the relationship between sample size and confidence intervals?\">7. What is the relationship between sample size and confidence intervals?<\/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\/what-p-value-should-you-use-based-on-sample-size\/#8_Are_smaller_p_values_always_better\" title=\"8. Are smaller p values always better?\">8. Are smaller p values always better?<\/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\/what-p-value-should-you-use-based-on-sample-size\/#9_Can_sample_size_compensate_for_a_weak_effect\" title=\"9. Can sample size compensate for a weak effect?\">9. Can sample size compensate for a weak effect?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/#10_Can_a_small_sample_size_guarantee_the_significance_of_results\" title=\"10. Can a small sample size guarantee the significance of results?\">10. Can a small sample size guarantee the significance of results?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/#11_Is_a_p_value_of_005_always_appropriate\" title=\"11. Is a p value of 0.05 always appropriate?\">11. Is a p value of 0.05 always appropriate?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/#12_Are_there_any_alternatives_to_adjusting_p_values_based_on_sample_size\" title=\"12. Are there any alternatives to adjusting p values based on sample size?\">12. Are there any alternatives to adjusting p values based on sample size?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Understanding_the_Relationship_between_Sample_Size_and_P_Value\"><\/span>Understanding the Relationship between Sample Size and P Value<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><strong>The p value should be adjusted based on the sample size to ensure accurate and reliable results.<\/strong><\/p>\n<p>The primary reason for adjusting the p value is to account for the increased chance of obtaining false positives (Type I errors) when working with small sample sizes. With larger sample sizes, it becomes easier to detect smaller effects, reducing the possibility of false positives.<\/p>\n<p>A common approach for adjusting p values is the Bonferroni correction. This method divides the desired significance level (typically 0.05) by the number of tests performed. For example, if conducting multiple hypothesis tests simultaneously, such as in genetic studies, the Bonferroni correction would divide 0.05 by the total number of tests.<\/p>\n<p>However, beyond the Bonferroni correction, other methods can be useful when sample sizes vary. One such method is the Holm-Bonferroni correction. This modification adjusts the p values in a way that maintains the order of significance while accounting for multiple comparisons.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_Impact_of_Sample_Size_on_Power_and_Accuracy\"><\/span>The Impact of Sample Size on Power and Accuracy<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>In addition to controlling for false positives, sample size directly affects the statistical power of a test. Power refers to the ability to detect true effects when they exist. As sample size increases, statistical power increases, resulting in a greater likelihood of correctly rejecting the null hypothesis when it should be rejected.<\/p>\n<p><strong>With larger sample sizes, researchers can use a lower p value threshold to obtain significant results.<\/strong> A smaller p value threshold indicates that the observed data is less likely to occur under the null hypothesis, indicating stronger evidence against it.<\/p>\n<p>Moreover, larger sample sizes also lead to narrower confidence intervals, providing a more precise estimate of the population parameter being studied.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions_FAQs\"><\/span>Frequently Asked Questions (FAQs)<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"1_How_does_sample_size_affect_the_p_value\"><\/span>1. How does sample size affect the p value?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>Sample size affects the p value by reducing the likelihood of false positives. With larger sample sizes, a smaller p value threshold can be used to determine statistical significance.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"2_What_is_the_significance_of_the_p_value\"><\/span>2. What is the significance of the p value?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>The p value represents the probability of obtaining the observed data or more extreme results if the null hypothesis were true. It helps determine whether the results are statistically significant.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"3_Why_is_it_important_to_adjust_the_p_value_based_on_sample_size\"><\/span>3. Why is it important to adjust the p value based on sample size?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>Adjusting the p value based on sample size is important to minimize false positives, which can occur more frequently with smaller sample sizes.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"4_What_is_the_Bonferroni_correction\"><\/span>4. What is the Bonferroni correction?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>The Bonferroni correction divides the desired level of significance by the number of tests performed to control for multiple comparisons and reduce the chance of false positives.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"5_When_should_the_Holm-Bonferroni_correction_be_used\"><\/span>5. When should the Holm-Bonferroni correction be used?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>The Holm-Bonferroni correction is useful when there are multiple comparisons, maintaining significance order while adjusting p values.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"6_How_does_sample_size_impact_statistical_power\"><\/span>6. How does sample size impact statistical power?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>Larger sample sizes increase statistical power, allowing for a higher likelihood of correctly detecting true effects when they exist.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"7_What_is_the_relationship_between_sample_size_and_confidence_intervals\"><\/span>7. What is the relationship between sample size and confidence intervals?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>Larger sample sizes result in narrower confidence intervals, providing a more precise estimate of the population parameter being studied.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"8_Are_smaller_p_values_always_better\"><\/span>8. Are smaller p values always better?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>Smaller p values indicate stronger evidence against the null hypothesis, but the interpretation of &#8220;better&#8221; depends on the context and the significance level chosen.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"9_Can_sample_size_compensate_for_a_weak_effect\"><\/span>9. Can sample size compensate for a weak effect?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>No, sample size cannot compensate for a weak effect. A large sample can only provide more precise (narrower) confidence intervals, but it cannot strengthen a weak effect.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"10_Can_a_small_sample_size_guarantee_the_significance_of_results\"><\/span>10. Can a small sample size guarantee the significance of results?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>No, a small sample size cannot guarantee the significance of results. A significant outcome depends on the strength of the effect and the variability of data, in addition to the sample size.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"11_Is_a_p_value_of_005_always_appropriate\"><\/span>11. Is a p value of 0.05 always appropriate?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>No, the choice of p value depends on the context, the field of study, and any specific requirements or guidelines. It should be adjusted based on sample size and the desired level of significance.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"12_Are_there_any_alternatives_to_adjusting_p_values_based_on_sample_size\"><\/span>12. Are there any alternatives to adjusting p values based on sample size?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>Yes, there are other methods to adjust p values, such as the Holm-Bonferroni correction and the False Discovery Rate (FDR) correction, each with its own advantages and suitability for different scenarios.<\/p>\n<p>By considering the relationship between sample size and p value, researchers can ensure that their statistical analyses yield robust and reliable results. With appropriate adjustments based on sample size, one can effectively evaluate the significance of findings and draw valid conclusions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>When conducting statistical hypothesis tests, the p value plays a crucial role in determining the significance of results. The p value represents the probability of obtaining the observed data or more extreme results if the null hypothesis were true. Traditionally, a p value threshold of 0.05 (or 5%) has been widely used to determine statistical &#8230; <\/p>\n<p class=\"read-more-container\"><a title=\"What P value should you use based on sample size?\" class=\"read-more button\" href=\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/#more-216405\">Read more<span class=\"screen-reader-text\">What P value should you use based on sample size?<\/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-216405","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>What P value should you use based on sample size?<\/title>\n<meta name=\"description\" content=\"When conducting statistical hypothesis tests, the p value plays a crucial role in determining the significance of results. The p value represents the\" \/>\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\/what-p-value-should-you-use-based-on-sample-size\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What P value should you use based on sample size?\" \/>\n<meta property=\"og:description\" content=\"When conducting statistical hypothesis tests, the p value plays a crucial role in determining the significance of results. The p value represents the\" \/>\n<meta property=\"og:url\" content=\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/\" \/>\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=\"2025-04-10T02:55:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/namso-gen.co\/blog\/wp-content\/uploads\/2024\/03\/faq.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\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=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/\"},\"author\":{\"name\":\"Ronda Lacy\",\"@id\":\"https:\/\/namso-gen.co\/blog\/#\/schema\/person\/d3f102ae4bbac770c6dd8a38251cb20c\"},\"headline\":\"What P value should you use based on sample size?\",\"datePublished\":\"2025-04-10T02:55:03+00:00\",\"dateModified\":\"2025-04-10T02:55:03+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/\"},\"wordCount\":839,\"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\/what-p-value-should-you-use-based-on-sample-size\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/\",\"url\":\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/\",\"name\":\"What P value should you use based on sample size?\",\"isPartOf\":{\"@id\":\"https:\/\/namso-gen.co\/blog\/#website\"},\"datePublished\":\"2025-04-10T02:55:03+00:00\",\"dateModified\":\"2025-04-10T02:55:03+00:00\",\"description\":\"When conducting statistical hypothesis tests, the p value plays a crucial role in determining the significance of results. The p value represents the\",\"breadcrumb\":{\"@id\":\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/namso-gen.co\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"What P value should you use based on sample size?\"}]},{\"@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":"What P value should you use based on sample size?","description":"When conducting statistical hypothesis tests, the p value plays a crucial role in determining the significance of results. The p value represents the","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\/what-p-value-should-you-use-based-on-sample-size\/","og_locale":"en_US","og_type":"article","og_title":"What P value should you use based on sample size?","og_description":"When conducting statistical hypothesis tests, the p value plays a crucial role in determining the significance of results. The p value represents the","og_url":"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/","og_site_name":"Namso Gen Blog - Free Credit Card Generator [100% Valid]","article_publisher":"https:\/\/www.facebook.com\/synchronyfinancial","article_published_time":"2025-04-10T02:55:03+00:00","og_image":[{"width":1200,"height":630,"url":"https:\/\/namso-gen.co\/blog\/wp-content\/uploads\/2024\/03\/faq.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":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/#article","isPartOf":{"@id":"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/"},"author":{"name":"Ronda Lacy","@id":"https:\/\/namso-gen.co\/blog\/#\/schema\/person\/d3f102ae4bbac770c6dd8a38251cb20c"},"headline":"What P value should you use based on sample size?","datePublished":"2025-04-10T02:55:03+00:00","dateModified":"2025-04-10T02:55:03+00:00","mainEntityOfPage":{"@id":"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/"},"wordCount":839,"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\/what-p-value-should-you-use-based-on-sample-size\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/","url":"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/","name":"What P value should you use based on sample size?","isPartOf":{"@id":"https:\/\/namso-gen.co\/blog\/#website"},"datePublished":"2025-04-10T02:55:03+00:00","dateModified":"2025-04-10T02:55:03+00:00","description":"When conducting statistical hypothesis tests, the p value plays a crucial role in determining the significance of results. The p value represents the","breadcrumb":{"@id":"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/namso-gen.co\/blog\/what-p-value-should-you-use-based-on-sample-size\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/namso-gen.co\/blog\/"},{"@type":"ListItem","position":2,"name":"What P value should you use based on sample size?"}]},{"@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\/216405","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=216405"}],"version-history":[{"count":0,"href":"https:\/\/namso-gen.co\/blog\/wp-json\/wp\/v2\/posts\/216405\/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=216405"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/namso-gen.co\/blog\/wp-json\/wp\/v2\/categories?post=216405"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/namso-gen.co\/blog\/wp-json\/wp\/v2\/tags?post=216405"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}