{"id":65523,"date":"2026-09-29T14:37:09","date_gmt":"2026-09-29T11:37:09","guid":{"rendered":"https:\/\/wpcalc.com\/en\/?p=65523"},"modified":"2026-09-29T15:19:18","modified_gmt":"2026-09-29T12:19:18","slug":"p-value-calculator","status":"publish","type":"post","link":"https:\/\/wpcalc.com\/en\/statistics\/p-value-calculator\/","title":{"rendered":"P-Value Calculator"},"content":{"rendered":"<section class=\"not-prose calculator-box\" aria-labelledby=\"calculator-title\"><div class=\"flex items-baseline sm:items-center justify-between gap-2 sm:gap-3\"><div class=\"flex flex-col sm:flex-row sm:items-center gap-2\"><span class=\"icon icon-calculator text-primary-700! text-base! dark:text-primary-300!\" aria-hidden=\"true\"><\/span><h2 id=\"calculator-title\" class=\"text-lg font-display font-bold\">Find the P-Value of Your Test<\/h2><\/div><div class=\"calcdash-favorite group\">\n  <button type=\"button\" class=\"favorite\" id=\"favorite\" data-favorite-id=\"65523\" data-favorite-title=\"P-Value\" data-favorite-url=\"https:\/\/wpcalc.com\/en\/statistics\/p-value-calculator\/\" data-favorite-excerpt=\"Enter a z, t, chi-square, or F test statistic to find the p-value for two-tailed, left-tailed, or right-tailed tests. Choose the distribution, degrees of freedom, and significance level to see whether your result is statistically significant.\" aria-label=\"Add to Favorites\" data-favorite-icon=\"icon icon-wpcalc-bell-curve\">\n    <span class=\"icon icon-shape-star-empty\" aria-hidden=\"true\"><\/span>\n  <\/button>\n  <div class=\"calcdash-favorite__tip\" aria-hidden=\"true\">\n   <span class=\"favorite-tooltip\" id=\"favorite-tooltip\"><\/span>\n  <\/div>\n  <span class=\"sr-only\" role=\"status\" id=\"favorite-status\"><\/span>\n<\/div><\/div><form action=\"https:\/\/wpcalc.com\/en\/statistics\/p-value-calculator\/\" method=\"POST\" class=\"calculator\" id=\"calculator-65523\" data-post=\"65523\"><fieldset class=\"fieldset-input is-1\"><legend class=\"sr-only\">Input Fields<\/legend><div class=\"field\" id=\"input-1\"><label for=\"field-1\">Test statistic<\/label><input type=\"number\" name=\"test_statistic\" id=\"field-1\" aria-describedby=\"calc-info-1\" step=\"any\" value=\"2.5\"\/><small id=\"calc-info-1\">The statistic you already calculated from your test.<\/small><\/div><div class=\"field\" id=\"input-2\"><label for=\"field-2\">Distribution<\/label><div class=\"grid grid-cols-1\"><select id=\"field-2\" name=\"distribution\"><option value=\"z\">Standard normal (Z)<\/option><option value=\"t\" selected>Student t<\/option><option value=\"chisq\">Chi-square (\u03c7\u00b2)<\/option><option value=\"f\">F-distribution<\/option><\/select><svg class=\"pointer-events-none col-start-1 row-start-1 mr-2 size-5 self-center justify-self-end text-gray-500 sm:size-4\" viewBox=\"0 0 16 16\" fill=\"currentColor\" aria-hidden=\"true\" data-slot=\"icon\">\n              <path fill-rule=\"evenodd\" d=\"M4.22 6.22a.75.75 0 0 1 1.06 0L8 8.94l2.72-2.72a.75.75 0 1 1 1.06 1.06l-3.25 3.25a.75.75 0 0 1-1.06 0L4.22 7.28a.75.75 0 0 1 0-1.06Z\" clip-rule=\"evenodd\" \/>\n            <\/svg><\/div><\/div><div class=\"field\" id=\"input-3\"><label for=\"field-3\">Tails<\/label><div class=\"grid grid-cols-1\"><select id=\"field-3\" name=\"tails\"><option value=\"two\" selected>Two-tailed (\u2260)<\/option><option value=\"right\">Right-tailed (&gt;)<\/option><option value=\"left\">Left-tailed (&lt;)<\/option><\/select><svg class=\"pointer-events-none col-start-1 row-start-1 mr-2 size-5 self-center justify-self-end text-gray-500 sm:size-4\" viewBox=\"0 0 16 16\" fill=\"currentColor\" aria-hidden=\"true\" data-slot=\"icon\">\n              <path fill-rule=\"evenodd\" d=\"M4.22 6.22a.75.75 0 0 1 1.06 0L8 8.94l2.72-2.72a.75.75 0 1 1 1.06 1.06l-3.25 3.25a.75.75 0 0 1-1.06 0L4.22 7.28a.75.75 0 0 1 0-1.06Z\" clip-rule=\"evenodd\" \/>\n            <\/svg><\/div><\/div><div class=\"field\" id=\"input-4\"><label for=\"field-4\">Degrees of freedom (df)<\/label><input type=\"text\" name=\"degrees_of_freedom_df\" id=\"field-4\" aria-describedby=\"calc-info-4\" data-number inputmode=\"decimal\" autocomplete=\"off\" spellcheck=\"false\" min=\"1\" value=\"20\"\/><small id=\"calc-info-4\">Required for the t and \u03c7\u00b2 distributions.<\/small><\/div><div class=\"field\" id=\"input-5\" hidden><label for=\"field-5\">Numerator df (df\u2081)<\/label><input type=\"text\" name=\"numerator_df_df\" id=\"field-5\" aria-describedby=\"calc-info-5\" data-number inputmode=\"decimal\" autocomplete=\"off\" spellcheck=\"false\" min=\"1\" value=\"3\"\/><small id=\"calc-info-5\">Required for the F-distribution.<\/small><\/div><div class=\"field\" id=\"input-6\" hidden><label for=\"field-6\">Denominator df (df\u2082)<\/label><input type=\"text\" name=\"denominator_df_df\" id=\"field-6\" aria-describedby=\"calc-info-6\" data-number inputmode=\"decimal\" autocomplete=\"off\" spellcheck=\"false\" min=\"1\" value=\"20\"\/><small id=\"calc-info-6\">Required for the F-distribution.<\/small><\/div><div class=\"field\" id=\"input-7\"><label for=\"field-7\">Significance level (\u03b1)<\/label><div class=\"grid grid-cols-1\"><select id=\"field-7\" name=\"significance_level_\"><option value=\"0.05\" selected>0.05<\/option><option value=\"0.01\">0.01<\/option><option value=\"0.1\">0.10<\/option><\/select><svg class=\"pointer-events-none col-start-1 row-start-1 mr-2 size-5 self-center justify-self-end text-gray-500 sm:size-4\" viewBox=\"0 0 16 16\" fill=\"currentColor\" aria-hidden=\"true\" data-slot=\"icon\">\n              <path fill-rule=\"evenodd\" d=\"M4.22 6.22a.75.75 0 0 1 1.06 0L8 8.94l2.72-2.72a.75.75 0 1 1 1.06 1.06l-3.25 3.25a.75.75 0 0 1-1.06 0L4.22 7.28a.75.75 0 0 1 0-1.06Z\" clip-rule=\"evenodd\" \/>\n            <\/svg><\/div><\/div><\/fieldset><div class=\"buttons\"><button type=\"submit\" data-text=\"Re-Calculate\" id=\"calculate-button\" data-post=\"65523\">Calculate<\/button><button type=\"reset\">Reset<\/button><\/div><div class=\"field is-checkbox hidden!\" id=\"field-auto-calc\"><input type=\"checkbox\" id=\"auto-calc\"><label for=\"auto-calc\">Calculate automatically<\/label><small>If enabled, the result will update automatically when you change any value.<\/small><\/div><div class=\"fieldset-result is-hidden\" aria-labelledby=\"result-title\" aria-live=\"polite\" role=\"region\"> <h3 class=\"result-title bg-gradient-to-r from-primary-50 to-gray-50 dark:from-primary-900 dark:to-gray-800\" id=\"result-title\"><span class=\"icon icon-s-pulse\" aria-hidden=\"true\"><\/span> P-Value Results<\/h3><div class=\"result-box\"><div class=\"field-result\" id=\"output-1\"><span class=\"field-title\"><span>P-value<\/span><span class=\"result-term\">p<\/span><\/span><span class=\"field-value\" id=\"result-1\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result\" id=\"output-2\"><span class=\"field-title\"><span>Tail probability<\/span><\/span><span class=\"field-value\" id=\"result-2\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result is-column\" id=\"output-3\"><span class=\"field-title\"><span>Details &amp; conclusion<\/span><\/span><span class=\"field-value\" id=\"result-3\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><\/div><div class=\"result-actions\"><button type=\"button\" class=\"copy-link\"><svg viewBox=\"0 0 20 20\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M12.232 4.232a2.5 2.5 0 0 1 3.536 3.536l-1.225 1.224a.75.75 0 0 0 1.061 1.06l1.224-1.224a4 4 0 0 0-5.656-5.656l-3 3a4 4 0 0 0 .225 5.865.75.75 0 0 0 .977-1.138 2.5 2.5 0 0 1-.142-3.667l3-3Z\"\/><path d=\"M11.603 7.963a.75.75 0 0 0-.977 1.138 2.5 2.5 0 0 1 .142 3.667l-3 3a2.5 2.5 0 0 1-3.536-3.536l1.225-1.224a.75.75 0 0 0-1.061-1.06l-1.224 1.224a4 4 0 1 0 5.656 5.656l3-3a4 4 0 0 0-.225-5.865Z\"\/><\/svg><span class=\"copy-link__text\">Copy link to this calculation<\/span><\/button><span class=\"sr-only\" role=\"status\" id=\"copy-link-status\"><\/span><\/div><\/div><a href=\"#respond\" class=\"hidden transition-opacity duration-300 opacity-0 w-50 text-sm justify-center items-center gap-2 px-4 py-2 rounded bg-gray-200 text-gray-700 hover:bg-gray-300\" id=\"leave-comment\"><span class=\"icon icon-comments\" aria-hidden=\"true\"><\/span>Leave a Comment<\/a><\/form><\/section><section id=\"calc-reactions\" class=\"not-prose hidden my-12 bg-gradient-to-r from-primary-50 to-gray-50 border border-indigo-100 rounded-xl px-6 py-4 shadow-sm\" data-post=\"65523\" aria-live=\"polite\" aria-labelledby=\"calc-reactions-title\"><p id=\"calc-reactions-title\" class=\"text-sm text-gray-500 text-center mb-2\">How did this result make you feel?<\/p><div role=\"group\" aria-labelledby=\"calc-reactions-title\" class=\"grid grid-cols-3 sm:flex sm:flex-row sm:justify-around gap-4 sm:items-center sm:flex-wrap\"><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"like\"><span class=\"reaction-count\" data-reaction-count=\"like\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\ude00 <\/span><span class=\"reaction-description font-medium\">Like <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"helpful\"><span class=\"reaction-count\" data-reaction-count=\"helpful\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\udca1 <\/span><span class=\"reaction-description font-medium\">Helpful <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"confused\"><span class=\"reaction-count\" data-reaction-count=\"confused\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\ude15 <\/span><span class=\"reaction-description font-medium\">Confused <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"disappointed\"><span class=\"reaction-count\" data-reaction-count=\"disappointed\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\ude1e <\/span><span class=\"reaction-description font-medium\">Disappointed <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"inaccurate\"><span class=\"reaction-count\" data-reaction-count=\"inaccurate\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\u274c <\/span><span class=\"reaction-description font-medium\">Inaccurate <\/span><\/button><\/div><div id=\"reaction-message\" class=\"hidden mt-8 rounded-md border border-primary-100 bg-white\/50 backdrop-blur-sm px-4 py-2 text-sm text-center shadow-sm\"><\/div><\/section><div class=\"calcdash-ad not-prose calcdash-ad--calc_result calcdash-ad--in-article\"><ins class=\"adsbygoogle\" style=\"display:block\" data-ad-client=\"ca-pub-1721569815777345\" data-ad-slot=\"6317458308\" data-ad-layout=\"in-article\" data-ad-format=\"fluid\"><\/ins><script>(adsbygoogle = window.adsbygoogle || []).push({});<\/script><\/div>\n<style id=\"wpcoderpro-inline-1\">.formula-box {\r\n\tborder-bottom: none !important;\r\n}<\/style><section class=\"formula-box\" aria-labelledby=\"formula-title\">\r\n\t<div id=\"formula-title\" class=\"not-prose font-display mb-4\"><span class=\"icon icon-formula\" aria-hidden=\"true\"><\/span><h2>P-Value Formula<\/h2><\/div>\r\n\t<figure class=\"not-prose formula\">\r\n\t\t<figcaption class=\"formula-title\">Formula<\/figcaption>\r\n\t\t<div class=\"text-base text-gray-800\" id=\"formula\">\n\\[ p = \\begin{cases} 2 \\cdot \\min\\big(P(T \\le t),\\; P(T \\ge t)\\big) &amp; \\text{two-tailed test (}\\neq\\text{)} \\\\ P(T \\ge t) &amp; \\text{right-tailed test (}&gt;) \\\\ P(T \\le t) &amp; \\text{left-tailed test (}&lt;\\text{)} \\end{cases} \\]\n<strong>Where:<\/strong>\n<ul>\n<li>\\(T\\) \u2014 the test statistic's random variable (Z, t, \u03c7\u00b2, or F) under the null hypothesis \\(H_0\\)<\/li>\n<li>\\(t\\) \u2014 the observed value of your test statistic<\/li>\n<li>\\(P(T \\ge t)\\) \u2014 the probability of observing a value at least as extreme as \\(t\\), in the right tail<\/li>\n<\/ul>\nThe p-value is the probability, computed under the null hypothesis, of obtaining a test statistic at least as extreme as the one observed. Which tail(s) count as \"extreme\" depends on the alternative hypothesis.\n<\/div>\r\n\t<\/figure>\r\n\t<\/p>\n<p>For each distribution the tail probabilities come from the corresponding cumulative distribution function: the standard normal CDF \\(\\Phi(z)\\) for Z, the Student t CDF with \\(df\\) degrees of freedom, the chi-square CDF, or the F CDF with \\(df_1\\) and \\(df_2\\) degrees of freedom. The calculator evaluates these numerically, so no statistical tables are needed.<\/p>\n<p>\r\n<\/section>\n<style id=\"wpcoderpro-inline-459\">.calculation-box {\r\n\tborder-bottom: none !important;\r\n}<\/style><section id=\"calculation\" class=\"calculation-box\" aria-labelledby=\"calculation-title\">\r\n\t<div id=\"calculation-title\" class=\"not-prose font-display\"><span class=\"icon icon-unordered-list\" aria-hidden=\"true\"><\/span><h2>P-Value \u2013 Calculation Example<\/h2><\/div>\r\n\r\n<\/p>\n<p><strong>Example:<\/strong> a two-sample t-test produced a test statistic of \\(t = 2.5\\) with \\(df = 20\\), and the alternative hypothesis is two-sided (\\(\\neq\\)).<\/p>\n<p>\\[ p = 2 \\cdot P(T \\ge 2.5) = 2 \\times 0.0106 = 0.0213 \\]<\/p>\n<p><strong>Result:<\/strong> the p-value is 0.0213. Since \\(0.0213 \\le 0.05\\), the result is statistically significant at \\(\\alpha = 0.05\\) \u2014 reject \\(H_0\\).<\/p>\n<p>\n\r\n<\/section>\n<h2>How to Use the Calculator<\/h2>\n<ol>\n<li>Enter your <strong>Test statistic<\/strong> (the z, t, \u03c7\u00b2, or F value you already computed from your data).<\/li>\n<li>Select the <strong>Distribution<\/strong> the statistic follows under \\(H_0\\): Standard normal (Z), Student t, Chi-square (\u03c7\u00b2), or F-distribution.<\/li>\n<li>Choose the <strong>Tails<\/strong> that match your alternative hypothesis: Two-tailed (\u2260), Right-tailed (&gt;), or Left-tailed (&lt;).<\/li>\n<li>If you selected t or \u03c7\u00b2, enter the <strong>Degrees of freedom (df)<\/strong>. If you selected the F-distribution, enter both <strong>Numerator df (df\u2081)<\/strong> and <strong>Denominator df (df\u2082)<\/strong>; these fields appear automatically.<\/li>\n<li>Pick your <strong>Significance level (\u03b1)<\/strong> \u2014 0.05, 0.01, or 0.10 \u2014 so the calculator can state the conclusion of the test.<\/li>\n<li>Read the <strong>P-value<\/strong>, the <strong>Tail probability<\/strong> in the direction of your statistic, and the <strong>Details &amp; conclusion<\/strong>, which lists both tail probabilities and the reject\/fail-to-reject decision at \u03b1.<\/li>\n<\/ol>\n<h2>What Is a P-Value?<\/h2>\n<p>The p-value answers one specific question: <em>if the null hypothesis were true, how likely is it to obtain a test statistic at least as extreme as the one you observed?<\/em> It is a probability between 0 and 1, not the probability that the null hypothesis is true or false. A small p-value means the observed data would be surprising under \\(H_0\\), which is evidence against the null hypothesis.<\/p>\n<p>Researchers compare the p-value to a pre-chosen significance level \\(\\alpha\\), usually 0.05. If \\(p \\le \\alpha\\), the result is called statistically significant and the convention is to reject \\(H_0\\). If \\(p &gt; \\alpha\\), you fail to reject \\(H_0\\). Note that failing to reject is not the same as proving \\(H_0\\) true \u2014 it only means the data do not provide enough evidence against it.<\/p>\n<p>The number of tails matters. A <strong>two-tailed test<\/strong> detects deviations in either direction, so the p-value includes both extreme tails. A <strong>right-tailed test<\/strong> is used when the alternative claims a value is greater than the null value (common for \u03c7\u00b2 and F tests, which are naturally right-tailed). A <strong>left-tailed test<\/strong> applies when the alternative claims a smaller value. Choosing the wrong tail can make a real result look non-significant, so the tails must match the alternative hypothesis you formulated <em>before<\/em> looking at the data.<\/p>\n<p>To interpret the strength of evidence informally: \\(p &lt; 0.001\\) is very strong, \\(p &lt; 0.01\\) is strong, \\(p &lt; 0.05\\) is moderate, and \\(p &lt; 0.10\\) is weak. Values above 0.10 provide little evidence against \\(H_0\\). These are conventions, not thresholds with magical meaning.<\/p>\n<h2>Which Distribution Should You Choose?<\/h2>\n<ul>\n<li><strong>Standard normal (Z)<\/strong> \u2014 large-sample tests about means and proportions when the population variance is known or the sample is large enough for the Central Limit Theorem. If you need the statistic itself first, use the <a href=\"https:\/\/wpcalc.com\/en\/statistics\/z-score-calculator\/\">Z-Score Calculator<\/a>.<\/li>\n<li><strong>Student t<\/strong> \u2014 tests about means with small samples or unknown population variance; requires one df value, usually \\(n - 1\\) or \\(n_1 + n_2 - 2\\).<\/li>\n<li><strong>Chi-square (\u03c7\u00b2)<\/strong> \u2014 goodness-of-fit tests and independence tests on contingency tables; the df depends on the number of categories or cells. These tests are almost always right-tailed.<\/li>\n<li><strong>F-distribution<\/strong> \u2014 ANOVA and comparisons of variances; requires numerator df \\(df_1\\) and denominator df \\(df_2\\). Also almost always right-tailed.<\/li>\n<\/ul>\n<p>If you are not yet at the testing stage, our <a href=\"https:\/\/wpcalc.com\/en\/statistics\/normal-distribution-calculator\/\">Normal Distribution Calculator<\/a> and <a href=\"https:\/\/wpcalc.com\/en\/statistics\/confidence-interval-calculator\/\">Confidence Interval Calculator<\/a> cover the related probability and estimation tasks.<\/p>\n<h2>Assumptions, Limitations, and Practical Tips<\/h2>\n<ul>\n<li><strong>The calculator needs an already-computed statistic.<\/strong> It does not compute z, t, \u03c7\u00b2, or F from raw data \u2014 you must supply the statistic from your test. Check your statistics software or course notes for the value.<\/li>\n<li><strong>The statistic must follow the chosen distribution under \\(H_0\\).<\/strong> This requires the test's own assumptions to hold: random sampling, approximate normality or large samples for Z\/t, expected cell counts of at least 5 for \u03c7\u00b2, and homogeneity of variance for standard ANOVA.<\/li>\n<li><strong>Set \u03b1 before the test.<\/strong> Choosing the significance level after seeing the p-value inflates false-positive rates. If your significance level is not listed, compare the reported p-value to your \u03b1 manually.<\/li>\n<li><strong>For \u03c7\u00b2 and F, use right-tailed tests.<\/strong> These statistics are non-negative, and their tests are conventionally one-sided; the calculator's two-tailed option doubles the smaller tail, which rarely matches a real hypothesis for these distributions.<\/li>\n<li><strong>Statistical significance is not practical importance.<\/strong> With a large enough sample, tiny, meaningless differences become significant. Report the effect size and a confidence interval alongside the p-value, and make sure your sample size was planned sensibly \u2014 see the <a href=\"https:\/\/wpcalc.com\/en\/statistics\/sample-size-calculator\/\">Sample Size Calculator<\/a>.<\/li>\n<li><strong>Very small p-values<\/strong> are reported in scientific notation (e.g., 2.1e\u221205, meaning \\(2.1 \\times 10^{-5}\\)).<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Enter a z, t, chi-square, or F test statistic to find the p-value for two-tailed, left-tailed, or right-tailed tests. Choose the distribution, degrees of freedom, and significance level to see whether your result is statistically significant.<\/p>\n","protected":false},"author":3168,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[74],"tags":[79],"class_list":["post-65523","post","type-post","status-publish","format-standard","hentry","category-statistics","tag-hypothesis-testing"],"acf":[],"_links":{"self":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/65523","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/users\/3168"}],"replies":[{"embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/comments?post=65523"}],"version-history":[{"count":3,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/65523\/revisions"}],"predecessor-version":[{"id":65707,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/65523\/revisions\/65707"}],"wp:attachment":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/media?parent=65523"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/categories?post=65523"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/tags?post=65523"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}