{"id":66997,"date":"2026-10-13T11:12:07","date_gmt":"2026-10-13T08:12:07","guid":{"rendered":"https:\/\/wpcalc.com\/en\/?p=66997"},"modified":"2026-10-13T11:12:07","modified_gmt":"2026-10-13T08:12:07","slug":"z-test-for-a-mean-calculator","status":"publish","type":"post","link":"https:\/\/wpcalc.com\/en\/statistics\/z-test-for-a-mean-calculator\/","title":{"rendered":"Z-Test for a Mean 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\">Test a Population Mean When the Standard Deviation Is Known<\/h2><\/div><div class=\"calcdash-favorite group\">\n  <button type=\"button\" class=\"favorite\" id=\"favorite\" data-favorite-id=\"66997\" data-favorite-title=\"Z-Test for a Mean\" data-favorite-url=\"https:\/\/wpcalc.com\/en\/statistics\/z-test-for-a-mean-calculator\/\" data-favorite-excerpt=\"Test whether a population mean differs from a hypothesized value when the population standard deviation is known. Enter the sample mean, hypothesized mean, \u03c3, sample size and significance level to get the z statistic, p-value and decision.\" 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\/z-test-for-a-mean-calculator\/\" method=\"POST\" class=\"calculator\" id=\"calculator-66997\" data-post=\"66997\"><fieldset class=\"fieldset-input is-1\"><legend class=\"sr-only\">Input Fields<\/legend><div class=\"field has-term\" id=\"input-1\"><label for=\"field-1\">Sample mean<\/label><div class=\"term\">x\u0304<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"number\" name=\"sample_mean\" id=\"field-1\" aria-describedby=\"calc-info-1\" placeholder=\"e.g. 105\" step=\"any\" value=\"105\"\/><small id=\"calc-info-1\">The mean of your sample.<\/small><\/div><div class=\"field has-term\" id=\"input-2\"><label for=\"field-2\">Hypothesized mean<\/label><div class=\"term\">\u03bc\u2080<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"number\" name=\"hypothesized_mean\" id=\"field-2\" aria-describedby=\"calc-info-2\" placeholder=\"e.g. 100\" step=\"any\" value=\"100\"\/><small id=\"calc-info-2\">The value of the population mean stated by the null hypothesis H\u2080.<\/small><\/div><div class=\"field has-term\" id=\"input-3\"><label for=\"field-3\">Population standard deviation<\/label><div class=\"term\">\u03c3<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"text\" name=\"population_standard_deviation\" id=\"field-3\" aria-describedby=\"calc-info-3\" data-number inputmode=\"decimal\" autocomplete=\"off\" spellcheck=\"false\" placeholder=\"e.g. 15\" min=\"1.0E-6\" value=\"15\"\/><small id=\"calc-info-3\">The known standard deviation of the population (not the sample SD). If it is unknown, use a t-test instead.<\/small><\/div><div class=\"field has-term\" id=\"input-4\"><label for=\"field-4\">Sample size<\/label><div class=\"term\">n<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"text\" name=\"sample_size\" id=\"field-4\" aria-describedby=\"calc-info-4\" data-number inputmode=\"decimal\" autocomplete=\"off\" spellcheck=\"false\" placeholder=\"e.g. 36\" min=\"1\" value=\"36\"\/><small id=\"calc-info-4\">Number of observations in the sample.<\/small><\/div><div class=\"field\" id=\"input-5\"><label for=\"field-5\">Alternative hypothesis<\/label><div class=\"grid grid-cols-1\"><select id=\"field-5\" name=\"alternative_hypothesis\"><option value=\"two\" selected>Two-sided: \u03bc \u2260 \u03bc\u2080<\/option><option value=\"less\">Left-sided: \u03bc &lt; \u03bc\u2080<\/option><option value=\"greater\">Right-sided: \u03bc &gt; \u03bc\u2080<\/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-6\"><label for=\"field-6\">Significance level<\/label><div class=\"grid grid-cols-1\"><select id=\"field-6\" name=\"significance_level\"><option value=\"0.10\">0.10<\/option><option value=\"0.05\" selected>0.05<\/option><option value=\"0.025\">0.025<\/option><option value=\"0.01\">0.01<\/option><option value=\"0.001\">0.001<\/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=\"66997\">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> Z-Test Results<\/h3><div class=\"result-box\"><div class=\"field-result\" id=\"output-1\"><span class=\"field-title\"><span>Z-test statistic<\/span><span class=\"result-term\">z<\/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>p-value<\/span><span class=\"result-term\">p<\/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\" id=\"output-3\"><span class=\"field-title\"><span>Critical value at the chosen \u03b1<\/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 class=\"field-result\" id=\"output-4\"><span class=\"field-title\"><span>Decision at \u03b1<\/span><\/span><span class=\"field-value\" id=\"result-4\"><\/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-5\"><span class=\"field-title\"><span>How this z-test works<\/span><\/span><span class=\"field-value\" id=\"result-5\"><\/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=\"66997\" 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>Z-Test for a Mean 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\\[ z = \\frac{\\bar{x} - \\mu_0}{\\sigma \/ \\sqrt{n}} \\]\n<\/div>\r\n\t<\/figure>\r\n\t<\/p>\n<p><strong>Where:<\/strong><\/p>\n<ul>\n<li>\\(\\bar{x}\\) \u2014 sample mean<\/li>\n<li>\\(\\mu_0\\) \u2014 hypothesized population mean stated by the null hypothesis \\(H_0\\)<\/li>\n<li>\\(\\sigma\\) \u2014 known population standard deviation<\/li>\n<li>\\(n\\) \u2014 sample size<\/li>\n<\/ul>\n<p>The statistic measures how many standard errors the sample mean lies from the hypothesized value. Under \\(H_0\\), \\(z\\) follows the standard normal distribution, so the p-value is computed from \\(\\Phi\\), the standard normal CDF:<\/p>\n<p>\\[ p = 2\\left(1 - \\Phi(|z|)\\right) \\quad \\text{(two-sided)}, \\qquad p = \\Phi(z) \\quad \\text{(left-sided)}, \\qquad p = 1 - \\Phi(z) \\quad \\text{(right-sided)} \\]<\/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>Z-Test for a Mean \u2013 Calculation Example<\/h2><\/div>\r\n\r\n<\/p>\n<p><strong>Example:<\/strong> a machine is specified to fill bottles with a mean of 100 ml. The process standard deviation is known to be 15 ml. A random sample of 36 bottles has a mean of 105 ml. Is the true mean different from 100 ml at the 5% significance level (two-sided test)?<\/p>\n<p>\\[ SE = \\frac{\\sigma}{\\sqrt{n}} = \\frac{15}{\\sqrt{36}} = \\frac{15}{6} = 2.5 \\]<\/p>\n<p>\\[ z = \\frac{\\bar{x} - \\mu_0}{SE} = \\frac{105 - 100}{2.5} = 2 \\]<\/p>\n<p>\\[ p = 2\\left(1 - \\Phi(2)\\right) = 2(1 - 0.9772) = 0.0455 \\]<\/p>\n<p><strong>Result:<\/strong> \\(z = 2\\), \\(p = 0.0455\\), critical value \\(\\pm 1.96\\). Since \\(p \\le 0.05\\) (equivalently, \\(|z| = 2 \\ge 1.96\\)), reject \\(H_0\\): the data provide statistically significant evidence that the true mean differs from 100 ml.<\/p>\n<p>\n\r\n<\/section>\n<h2>How to Use the Calculator<\/h2>\n<ol>\n<li>Enter the <strong>Sample mean<\/strong> \\(\\bar{x}\\) computed from your data.<\/li>\n<li>Enter the <strong>Hypothesized mean<\/strong> \\(\\mu_0\\) \u2014 the value of the population mean claimed by the null hypothesis.<\/li>\n<li>Enter the <strong>Population standard deviation<\/strong> \\(\\sigma\\). This must be the known population value, not the sample standard deviation \\(s\\).<\/li>\n<li>Enter the <strong>Sample size<\/strong> \\(n\\), the number of observations.<\/li>\n<li>Choose the <strong>Alternative hypothesis<\/strong>: two-sided (\\(\\mu \\ne \\mu_0\\)), left-sided (\\(\\mu  \\mu_0\\)).<\/li>\n<li>Select the <strong>Significance level<\/strong> \\(\\alpha\\) (commonly 0.05).<\/li>\n<li>Read the <strong>Z-test statistic<\/strong>, the <strong>p-value<\/strong>, the <strong>critical value<\/strong> and the <strong>decision<\/strong> (reject or fail to reject \\(H_0\\)) in the results panel.<\/li>\n<\/ol>\n<h2>What Is a Z-Test for a Mean?<\/h2>\n<p>A one-sample z-test answers the question: <em>is the average of a population equal to a specific value, given what I observed in a sample?<\/em> You start with a null hypothesis \\(H_0: \\mu = \\mu_0\\) and compare it with an alternative claim \\(H_1\\). The test converts the distance between your sample mean and the hypothesized mean into a z statistic expressed in standard errors, which places your result on the familiar standard normal curve.<\/p>\n<p>The distinguishing feature of the z-test is that it requires the population standard deviation \\(\\sigma\\) to be <strong>known in advance<\/strong> \u2014 from historical process data, a calibrated instrument or a well-established reference value. When \\(\\sigma\\) is known, the sampling distribution of the mean is exactly normal (if the population is normal) or approximately normal for large samples by the central limit theorem, so no extra uncertainty from estimating the spread needs to be accounted for.<\/p>\n<p>The output is interpreted through the <strong>p-value<\/strong>: the probability of observing a sample mean at least as extreme as yours if \\(H_0\\) were true. A small p-value means the data would be surprising under the null hypothesis, so you reject it. Equivalently, you can compare the z statistic with the critical value: for a two-sided test at \\(\\alpha = 0.05\\), the critical values are \\(\\pm 1.96\\), so any \\(|z|\\) beyond that leads to rejection. Both approaches always give the same decision.<\/p>\n<p>When you reject \\(H_0\\), the same ingredients build a confidence interval: \\(\\bar{x} \\pm 1.96 \\cdot \\sigma\/\\sqrt{n}\\) is the two-sided 95% confidence interval for \\(\\mu\\). A significant two-sided test at level \\(\\alpha\\) corresponds exactly to a \\((1-\\alpha)\\times 100\\%\\) confidence interval that does not contain \\(\\mu_0\\).<\/p>\n<h2>Assumptions, Limitations and Practical Tips<\/h2>\n<ul>\n<li><strong>Known \u03c3 is essential.<\/strong> If the standard deviation must be estimated from the sample, use a one-sample t-test instead \u2014 the t distribution is wider and produces more conservative (larger) p-values, especially for small samples. For comparing two proportions instead of means, see the <a href=\"https:\/\/wpcalc.com\/en\/statistics\/two-proportion-z-test-calculator\/\">two-proportion z-test calculator<\/a>.<\/li>\n<li><strong>Random, independent observations.<\/strong> The sample should be drawn randomly, and observations must not influence each other. Violations (e.g. repeated measurements of the same subjects) invalidate the p-value.<\/li>\n<li><strong>Normality.<\/strong> With \\(n \\ge 30\\), the central limit theorem makes the normal approximation comfortable for most data shapes. With fewer than 30 observations, only use the z-test if the population itself can reasonably be treated as normal; otherwise consider a nonparametric alternative such as the <a href=\"https:\/\/wpcalc.com\/en\/statistics\/wilcoxon-signed-rank-test-calculator\/\">Wilcoxon signed-rank test<\/a>.<\/li>\n<li><strong>One-sided vs. two-sided.<\/strong> Choose the alternative hypothesis based on the research question <em>before<\/em> looking at the data. A one-sided test is more powerful in its chosen direction but cannot detect effects in the opposite direction.<\/li>\n<li><strong>Significance is not importance.<\/strong> With a large enough sample, even a trivially small difference from \\(\\mu_0\\) becomes statistically significant. Always pair the test with an effect size \u2014 the <a href=\"https:\/\/wpcalc.com\/en\/statistics\/cohens-d-calculator\/\">Cohen's d calculator<\/a> quantifies how large the difference actually is \u2014 and report the confidence interval.<\/li>\n<li><strong>Multiple testing.<\/strong> Running many z-tests on the same dataset inflates the chance of a false positive; the significance level applies to each test individually, not to the whole family of tests.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Test whether a population mean differs from a hypothesized value when the population standard deviation is known. Enter the sample mean, hypothesized mean, \u03c3, sample size and significance level to get the z statistic, p-value and decision.<\/p>\n","protected":false},"author":3168,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[74],"tags":[79],"class_list":["post-66997","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\/66997","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=66997"}],"version-history":[{"count":1,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/66997\/revisions"}],"predecessor-version":[{"id":66998,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/66997\/revisions\/66998"}],"wp:attachment":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/media?parent=66997"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/categories?post=66997"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/tags?post=66997"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}