{"id":65469,"date":"2026-09-29T12:26:54","date_gmt":"2026-09-29T09:26:54","guid":{"rendered":"https:\/\/wpcalc.com\/en\/?p=65469"},"modified":"2026-09-29T15:19:17","modified_gmt":"2026-09-29T12:19:17","slug":"normal-distribution-calculator","status":"publish","type":"post","link":"https:\/\/wpcalc.com\/en\/statistics\/normal-distribution-calculator\/","title":{"rendered":"Normal Distribution 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 Normal Distribution Probabilities<\/h2><\/div><div class=\"calcdash-favorite group\">\n  <button type=\"button\" class=\"favorite\" id=\"favorite\" data-favorite-id=\"65469\" data-favorite-title=\"Normal Distribution\" data-favorite-url=\"https:\/\/wpcalc.com\/en\/statistics\/normal-distribution-calculator\/\" data-favorite-excerpt=\"Enter a mean, standard deviation and a value (or two bounds) to get the probability density, cumulative probabilities P(X &lt; x), P(X &gt; x), P(a &lt; X &lt; b) and the z-score for a normal distribution.\" aria-label=\"Add to Favorites\" data-favorite-icon=\"icon icon-wpcalc-distribution-histogram\">\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\/normal-distribution-calculator\/\" method=\"POST\" class=\"calculator\" id=\"calculator-65469\" data-post=\"65469\"><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\">Mean (\u03bc)<\/label><div class=\"term\">\u03bc<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"number\" name=\"mean_\" id=\"field-1\" aria-describedby=\"calc-info-1\" placeholder=\"e.g. 100\" step=\"any\" value=\"100\"\/><small id=\"calc-info-1\">Center of the bell curve.<\/small><\/div><div class=\"field has-term\" id=\"input-2\"><label for=\"field-2\">Standard deviation (\u03c3)<\/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=\"standard_deviation_\" id=\"field-2\" aria-describedby=\"calc-info-2\" data-number inputmode=\"decimal\" autocomplete=\"off\" spellcheck=\"false\" placeholder=\"e.g. 15\" min=\"0\" value=\"15\"\/><small id=\"calc-info-2\">Spread of the distribution \u2014 must be greater than 0.<\/small><\/div><div class=\"field\" id=\"input-3\"><label for=\"field-3\">Probability you want<\/label><div class=\"grid grid-cols-1\"><select id=\"field-3\" name=\"probability_you_want\"><option value=\"below\" selected>P(X &lt; x) \u2014 below a value<\/option><option value=\"above\">P(X &gt; x) \u2014 above a value<\/option><option value=\"between\">P(a &lt; X &lt; b) \u2014 between two values<\/option><option value=\"outside\">Outside a range (two tails)<\/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 has-term\" id=\"input-4\"><label for=\"field-4\">Value (x)<\/label><div class=\"term\">x<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"number\" name=\"value_x\" id=\"field-4\" aria-describedby=\"calc-info-4\" placeholder=\"e.g. 110\" step=\"any\" value=\"110\"\/><small id=\"calc-info-4\">Point where the density, cumulative probability P(X &lt; x) and P(X &gt; x) are evaluated.<\/small><\/div><div class=\"field has-term\" id=\"input-5\" hidden><label for=\"field-5\">Lower bound (a)<\/label><div class=\"term\">a<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"number\" name=\"lower_bound_a\" id=\"field-5\" aria-describedby=\"calc-info-5\" placeholder=\"e.g. 85\" step=\"any\" value=\"85\"\/><small id=\"calc-info-5\">Left edge of the range.<\/small><\/div><div class=\"field has-term\" id=\"input-6\" hidden><label for=\"field-6\">Upper bound (b)<\/label><div class=\"term\">b<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"number\" name=\"upper_bound_b\" id=\"field-6\" aria-describedby=\"calc-info-6\" placeholder=\"e.g. 115\" step=\"any\" value=\"115\"\/><small id=\"calc-info-6\">Right edge of the range \u2014 must be greater than the lower bound.<\/small><\/div><\/fieldset><div class=\"buttons\"><button type=\"submit\" data-text=\"Re-Calculate\" id=\"calculate-button\" data-post=\"65469\">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> Your Results<\/h3><div class=\"result-box\"><div class=\"field-result\" id=\"output-1\"><span class=\"field-title\"><span>Probability density<\/span><span class=\"result-term\">f(x)<\/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>Cumulative P(X &lt; x)<\/span><span class=\"result-term\">F(x)<\/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>P(X &gt; x)<\/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>Area between a and b<\/span><span class=\"result-term\">P(a<X<b)<\/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\" id=\"output-5\"><span class=\"field-title\"><span>z-score<\/span><span class=\"result-term\">z<\/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 class=\"field-result is-column\" id=\"output-6\"><span class=\"field-title\"><span>Interpretation<\/span><\/span><span class=\"field-value\" id=\"result-6\"><\/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=\"65469\" 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>Normal Distribution 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\\[ f(x)=\\frac{1}{\\sigma\\sqrt{2\\pi}}\\,e^{-\\frac{(x-\\mu)^2}{2\\sigma^2}} \\\\ F(x)=P(X&lt;x)=\\Phi(z)=\\frac{1}{2}\\left[1+\\operatorname{erf}\\!\\left(\\frac{z}{\\sqrt{2}}\\right)\\right] \\\\ z=\\frac{x-\\mu}{\\sigma} \\]\n<\/div>\r\n\t<\/figure>\r\n\t<\/p>\n<p><strong>Where:<\/strong><\/p>\n<ul>\n<li>\\(\\mu\\) \u2014 mean, the center of the bell curve<\/li>\n<li>\\(\\sigma\\) \u2014 standard deviation, the spread of the distribution (must be positive)<\/li>\n<li>\\(x\\) \u2014 the value at which the density and probabilities are evaluated<\/li>\n<li>\\(f(x)\\) \u2014 probability density function (PDF), the height of the curve at \\(x\\)<\/li>\n<li>\\(F(x)\\) \u2014 cumulative distribution function (CDF), the area under the curve to the left of \\(x\\)<\/li>\n<li>\\(z\\) \u2014 z-score, the distance from the mean measured in standard deviations<\/li>\n<li>\\(\\Phi\\) \u2014 CDF of the <em>standard<\/em> normal distribution (\\(\\mu=0,\\ \\sigma=1\\))<\/li>\n<\/ul>\n<p>The first equation defines the bell curve itself. The second converts any value into a z-score and reads the probability from the standard normal curve, so one universal table (or error function) works for every mean and standard deviation.<\/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>Normal Distribution \u2013 Calculation Example<\/h2><\/div>\r\n\r\n<\/p>\n<p><strong>Example:<\/strong> IQ scores are approximately normally distributed with a mean of 100 and a standard deviation of 15. What is the probability that a randomly chosen person has an IQ below 110?<\/p>\n<p>\\[ z=\\frac{x-\\mu}{\\sigma}=\\frac{110-100}{15}=0.6667 \\]<\/p>\n<p>\\[ P(X&lt;110)=\\Phi(0.6667)=\\frac{1}{2}\\left[1+\\operatorname{erf}\\!\\left(\\frac{0.6667}{\\sqrt{2}}\\right)\\right]\\approx 0.7475 \\]<\/p>\n<p>The probability density at that point is \\( f(110)=\\frac{1}{15\\sqrt{2\\pi}}e^{-0.6667^2\/2}\\approx 0.0213 \\).<\/p>\n<p><strong>Result:<\/strong> P(X  110) \u2248 25.25%, and the z-score is 0.6667.<\/p>\n<p>\n\r\n<\/section>\n<h2>How to use the calculator<\/h2>\n<ol>\n<li>Enter the <strong>Mean (\u03bc)<\/strong> \u2014 the center of your distribution (e.g. 100).<\/li>\n<li>Enter the <strong>Standard deviation (\u03c3)<\/strong> \u2014 it must be greater than 0.<\/li>\n<li>Choose the <strong>Probability you want<\/strong>: below a value, above a value, between two values, or outside a range (the two tails).<\/li>\n<li>For the \"below\" and \"above\" modes, enter the <strong>Value (x)<\/strong> where the probabilities should be evaluated.<\/li>\n<li>For the \"between\" and \"outside\" modes, enter the <strong>Lower bound (a)<\/strong> and <strong>Upper bound (b)<\/strong>; the upper bound must be greater than the lower bound. You can still fill in x to also get the density and cumulative probabilities at that point.<\/li>\n<li>Read the results: probability density, cumulative probability, upper-tail probability, area between the bounds, z-score and a plain-language interpretation.<\/li>\n<\/ol>\n<h2>What is the normal distribution?<\/h2>\n<p>The normal distribution (also called the Gaussian distribution or bell curve) is the most widely used probability distribution in statistics. It is fully described by just two numbers: the mean \\(\\mu\\), which locates the center of the curve, and the standard deviation \\(\\sigma\\), which controls how wide or narrow it is. Many natural measurements \u2014 heights, measurement errors, test scores, blood pressure \u2014 are approximately normally distributed, largely because of the central limit theorem: when many small independent effects add up, the total tends toward a bell curve.<\/p>\n<p>The curve is symmetric around the mean and never touches zero, stretching infinitely in both directions. The probability of any <em>exact<\/em> value is zero; instead, probabilities correspond to <em>areas<\/em> under the curve. The cumulative probability \\(F(x)=P(Xx)=1-F(x)\\) is the area to the right. The probability density \\(f(x)\\) is not itself a probability \u2014 it is the height of the curve, useful for comparing how likely different regions are relative to each other.<\/p>\n<p>The z-score \\(z=(x-\\mu)\/\\sigma\\) expresses a value as a number of standard deviations from the mean. A z-score of 2 means \"two standard deviations above average.\" Converting to z-scores is the key trick: every normal distribution, whatever its mean and standard deviation, becomes the same standard normal curve, so probabilities can be read from one universal function.<\/p>\n<h2>Interpreting the result<\/h2>\n<p>The 68-95-99.7 rule (empirical rule) gives a quick sanity check for any answer:<\/p>\n<table>\n<thead>\n<tr>\n<th>Range around the mean<\/th>\n<th>Share of data inside<\/th>\n<th>Share outside (both tails)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\\(\\mu \\pm 1\\sigma\\)<\/td>\n<td>68.27%<\/td>\n<td>31.73%<\/td>\n<\/tr>\n<tr>\n<td>\\(\\mu \\pm 2\\sigma\\)<\/td>\n<td>95.45%<\/td>\n<td>4.55%<\/td>\n<\/tr>\n<tr>\n<td>\\(\\mu \\pm 3\\sigma\\)<\/td>\n<td>99.73%<\/td>\n<td>0.27%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>If your computed probability disagrees strongly with these benchmarks, double-check your inputs. For example, with the default settings the probability of a value below 110 (z = 0.67) should be somewhat more than 68%, since 110 is more than one standard deviation above the mean \u2014 and 74.75% fits that expectation.<\/p>\n<h2>Assumptions, limitations and practical tips<\/h2>\n<ul>\n<li><strong>Normality assumption:<\/strong> the calculator assumes your data truly follow a normal distribution. Real data are often skewed, bounded or heavy-tailed; probabilities for extreme values are especially sensitive to this assumption.<\/li>\n<li><strong>Strict vs. non-strict inequality:<\/strong> for a continuous distribution, \\(P(X&lt;x)\\) and \\(P(X\\le x)\\) are identical, so it does not matter which convention you use.<\/li>\n<li><strong>Small probabilities:<\/strong> values far in the tails (|z| beyond about 4) give probabilities close to 0 or 1; the calculator shows six decimal places so you can still read them.<\/li>\n<li><strong>Sample vs. population:<\/strong> enter the population mean and standard deviation if you know them. If you only have sample estimates, the results are approximations \u2014 for small samples a t-distribution is more appropriate.<\/li>\n<li><strong>Negative or zero \u03c3:<\/strong> the standard deviation must be strictly positive; the calculator rejects anything else, as a zero spread would collapse the curve into a spike.<\/li>\n<li><strong>Precision:<\/strong> probabilities are computed with an error-function approximation accurate to about 7 decimal places, which is more than enough for practical work.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Enter a mean, standard deviation and a value (or two bounds) to get the probability density, cumulative probabilities P(X < x), P(X > x), P(a &lt; X &lt; b) and the z-score for a normal distribution.<\/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":[77],"class_list":["post-65469","post","type-post","status-publish","format-standard","hentry","category-statistics","tag-distributions"],"acf":[],"_links":{"self":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/65469","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=65469"}],"version-history":[{"count":3,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/65469\/revisions"}],"predecessor-version":[{"id":65704,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/65469\/revisions\/65704"}],"wp:attachment":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/media?parent=65469"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/categories?post=65469"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/tags?post=65469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}