{"id":67397,"date":"2026-10-21T10:16:38","date_gmt":"2026-10-21T07:16:38","guid":{"rendered":"https:\/\/wpcalc.com\/en\/?p=67397"},"modified":"2026-10-21T10:16:38","modified_gmt":"2026-10-21T07:16:38","slug":"quartile-calculator-iqr-and-five-number-summary","status":"publish","type":"post","link":"https:\/\/wpcalc.com\/en\/statistics\/quartile-calculator-iqr-and-five-number-summary\/","title":{"rendered":"Quartile Calculator \u2013 IQR and Five-Number Summary"},"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 Quartiles, the IQR and Outliers of Your Data<\/h2><\/div><div class=\"calcdash-favorite group\">\n  <button type=\"button\" class=\"favorite\" id=\"favorite\" data-favorite-id=\"67397\" data-favorite-title=\"Quartiles\" data-favorite-url=\"https:\/\/wpcalc.com\/en\/statistics\/quartile-calculator-iqr-and-five-number-summary\/\" data-favorite-excerpt=\"Enter your data set to instantly get the five-number summary (minimum, Q1, median, Q3, maximum), the interquartile range, Tukey outlier fences, a box plot and a step-by-step explanation. Choose between three quartile methods.\" 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\/quartile-calculator-iqr-and-five-number-summary\/\" method=\"POST\" class=\"calculator\" id=\"calculator-67397\" data-post=\"67397\"><fieldset class=\"fieldset-input is-1\"><legend class=\"sr-only\">Input Fields<\/legend><div class=\"field\" id=\"input-1\"><label for=\"field-1\">Data values<\/label><textarea id=\"field-1\" name=\"data_values\">3, 7, 8, 5, 12, 14, 21, 13, 18<\/textarea><\/div><div class=\"field is-single\" id=\"input-2\"><label for=\"field-2\">Quartile method<\/label><div class=\"grid grid-cols-1\"><select id=\"field-2\" name=\"quartile_method\"><option value=\"exclusive\" selected>Exclusive \u2014 median of halves (Tukey)<\/option><option value=\"inclusive\">Inclusive \u2014 median included in both halves<\/option><option value=\"type7\">Linear interpolation \u2014 Excel QUARTILE.INC (R type 7)<\/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=\"67397\">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> Five-Number Summary and IQR<\/h3><div class=\"result-box\"><div class=\"field-result is-column\" id=\"output-1\"><span class=\"field-title\"><span>Sorted data<\/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>Count<\/span><span class=\"result-term\">n<\/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>Minimum<\/span><span class=\"result-term\">min<\/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>First quartile<\/span><span class=\"result-term\">Q1<\/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>Median<\/span><span class=\"result-term\">Q2<\/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\" id=\"output-6\"><span class=\"field-title\"><span>Third quartile<\/span><span class=\"result-term\">Q3<\/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 class=\"field-result\" id=\"output-7\"><span class=\"field-title\"><span>Maximum<\/span><span class=\"result-term\">max<\/span><\/span><span class=\"field-value\" id=\"result-7\"><\/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-8\"><span class=\"field-title\"><span>Range<\/span><span class=\"result-term\">R<\/span><\/span><span class=\"field-value\" id=\"result-8\"><\/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-9\"><span class=\"field-title\"><span>Interquartile range<\/span><span class=\"result-term\">IQR<\/span><\/span><span class=\"field-value\" id=\"result-9\"><\/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-10\"><span class=\"field-title\"><span>Lower fence (Q1 \u2212 1.5\u00b7IQR)<\/span><\/span><span class=\"field-value\" id=\"result-10\"><\/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-11\"><span class=\"field-title\"><span>Upper fence (Q3 + 1.5\u00b7IQR)<\/span><\/span><span class=\"field-value\" id=\"result-11\"><\/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-12\"><span class=\"field-title\"><span>Outliers<\/span><\/span><span class=\"field-value\" id=\"result-12\"><\/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-13\"><span class=\"field-title\"><span>Box plot<\/span><\/span><span class=\"field-value\" id=\"result-13\"><\/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-14\"><span class=\"field-title\"><span>How the quartiles were found<\/span><\/span><span class=\"field-value\" id=\"result-14\"><\/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=\"67397\" 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>Quartiles 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\\[ \\text{Five-number summary} = \\bigl(\\min,\\; Q_1,\\; \\text{median} = Q_2,\\; Q_3,\\; \\max\\bigr) \\]\n\\[ \\text{IQR} = Q_3 - Q_1 \\]\n\\[ \\text{lower fence} = Q_1 - 1.5 \\cdot \\text{IQR}, \\qquad \\text{upper fence} = Q_3 + 1.5 \\cdot \\text{IQR} \\]\n<\/div>\r\n\t<\/figure>\r\n\t<\/p>\n<p><strong>Where:<\/strong><\/p>\n<ul>\n<li>\\(Q_1\\) \u2014 first quartile: the median of the lower half of the sorted data (25% of values lie below it)<\/li>\n<li>\\(Q_2\\) \u2014 second quartile, i.e. the median of the whole data set<\/li>\n<li>\\(Q_3\\) \u2014 third quartile: the median of the upper half (75% of values lie below it)<\/li>\n<li>\\(\\text{IQR}\\) \u2014 interquartile range: the width of the middle 50% of the data<\/li>\n<\/ul>\n<p>A value is flagged as an outlier by Tukey's 1.5\u00b7IQR rule when it falls below the lower fence or above the upper fence.<\/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>Quartiles \u2013 Calculation Example<\/h2><\/div>\r\n\r\n<\/p>\n<p><strong>Example:<\/strong> find the quartiles, IQR and outliers of the data 3, 7, 8, 5, 12, 14, 21, 13, 18 using the exclusive (Tukey) method, which is the calculator's default.<\/p>\n<p>Sorted data (n = 9): 3, 5, 7, 8, 12, 13, 14, 18, 21<\/p>\n<p>\\[ Q_2 = 12 \\quad \\text{(the middle, i.e. 5th value)} \\]<\/p>\n<p>\\[ Q_1 = \\frac{5 + 7}{2} = 6 \\quad \\text{(median of the lower half 3, 5, 7, 8)} \\]<\/p>\n<p>\\[ Q_3 = \\frac{14 + 18}{2} = 16 \\quad \\text{(median of the upper half 13, 14, 18, 21)} \\]<\/p>\n<p>\\[ \\text{IQR} = 16 - 6 = 10 \\]<\/p>\n<p>\\[ \\text{lower fence} = 6 - 1.5 \\times 10 = -9, \\qquad \\text{upper fence} = 16 + 1.5 \\times 10 = 31 \\]<\/p>\n<p><strong>Result:<\/strong> five-number summary (3, 6, 12, 16, 21); IQR = 10. All values lie inside the fences [\u22129, 31], so there are no outliers. The range is 21 \u2212 3 = 18.<\/p>\n<p>\n\r\n<\/section>\n<h2>How to use the calculator<\/h2>\n<ol>\n<li>Type or paste your numbers into the <strong>Data values<\/strong> field. Separate them with commas, spaces or new lines; empty entries are ignored and up to 500 values are accepted.<\/li>\n<li>Choose a <strong>Quartile method<\/strong> from the dropdown: <em>Exclusive \u2014 median of halves (Tukey)<\/em>, <em>Inclusive \u2014 median included in both halves<\/em>, or <em>Linear interpolation \u2014 Excel QUARTILE.INC (R type 7)<\/em>.<\/li>\n<li>Read the results: the sorted data, the count, the full five-number summary, the range, the IQR and the outlier fences.<\/li>\n<li>Check the <strong>Outliers<\/strong> line to see which values (if any) fall outside the fences, and look at the box plot for a visual picture of the distribution.<\/li>\n<li>Open <strong>How the quartiles were found<\/strong> to follow the exact steps the calculator used for your chosen method \u2014 handy for homework or verification.<\/li>\n<\/ol>\n<h2>What quartiles and the IQR tell you<\/h2>\n<p>Quartiles split a sorted data set into four roughly equal parts. The first quartile \\(Q_1\\) marks the point below which 25% of the values fall, the median \\(Q_2\\) marks 50%, and the third quartile \\(Q_3\\) marks 75%. Together with the minimum and maximum they form the <strong>five-number summary<\/strong>, a compact description of a distribution that works even when you only have a rough idea of the data.<\/p>\n<p>The <strong>interquartile range<\/strong>, \\( \\text{IQR} = Q_3 - Q_1 \\), measures the spread of the middle 50% of the data. Because it ignores the lowest and highest quarters, it is a <strong>robust<\/strong> measure of spread: a few extreme values barely move it, whereas they can inflate the range or the standard deviation dramatically. This makes the IQR the preferred spread measure for skewed data such as incomes, house prices or response times.<\/p>\n<p>The IQR also powers the standard outlier detection rule. Values outside \\( [Q_1 - 1.5\\,\\text{IQR},\\; Q_3 + 1.5\\,\\text{IQR}] \\) are considered unusually far from the bulk of the data. On a box plot these points appear as individual dots beyond the whiskers, and you should investigate them before deciding whether they are errors, rare events, or legitimate extremes that belong in the analysis.<\/p>\n<p>A quick look at a box plot built from the five numbers tells you a lot: if the median sits near the middle of the box the distribution is roughly symmetric in its centre; if it hugs one end the middle of the data is skewed in that direction. To quantify asymmetry more precisely, see the <a href=\"https:\/\/wpcalc.com\/en\/statistics\/skewness-and-kurtosis-calculator\/\">Skewness and Kurtosis Calculator<\/a>.<\/p>\n<h2>Quartile methods, assumptions and practical tips<\/h2>\n<p>Unlike the median, quartiles have no single universally agreed definition, which is why the calculator offers three methods:<\/p>\n<ul>\n<li><strong>Exclusive (Tukey):<\/strong> the median is excluded from both halves when the count is odd. This is the method behind classic box plots and many textbooks.<\/li>\n<li><strong>Inclusive:<\/strong> the median is included in both halves when the count is odd. It gives slightly narrower quartiles for odd-sized samples.<\/li>\n<li><strong>Linear interpolation (R type 7):<\/strong> quartiles are interpolated between data points at fixed positions. This is what Excel's <code>QUARTILE.INC<\/code>, R's <code>quantile()<\/code> and NumPy's default <code>percentile()<\/code> produce, so use it when you need to match those programs.<\/li>\n<\/ul>\n<p>The differences between the methods shrink as the sample grows, but with small data sets they can shift \\(Q_1\\), \\(Q_3\\), the IQR and the fences enough to change which points count as outliers. If you are comparing your results against a spreadsheet or a statistics package, first check that you have selected the same method.<\/p>\n<p>A few things to keep in mind when interpreting the results:<\/p>\n<ul>\n<li>The 1.5\u00b7IQR rule is a convention, not a law. For very large or heavy-tailed data sets, flagging values as \"outliers\" is normal and does not automatically mean anything is wrong.<\/li>\n<li>Quartiles say nothing about the shape between the quarter marks; two very different distributions can share the same five-number summary.<\/li>\n<li>The calculator assumes plain numeric data. If your values come in groups or with frequencies, expand them into individual entries first.<\/li>\n<li>If you need an arbitrary percentile rather than specifically Q1\/Q3, the <a href=\"https:\/\/wpcalc.com\/en\/statistics\/percentile-calculator\/\">Percentile Calculator<\/a> supports nine interpolation methods; for other summary statistics such as mean, median and mode, see the <a href=\"https:\/\/wpcalc.com\/en\/statistics\/median-and-mode-calculator\/\">Median and Mode Calculator<\/a>.<\/li>\n<\/ul>\n<p>Once you have identified outliers and a robust spread, you may want to describe the data further \u2014 for example with the <a href=\"https:\/\/wpcalc.com\/en\/statistics\/coefficient-of-variation-calculator\/\">Coefficient of Variation Calculator<\/a> to compare variability between data sets measured on the same scale.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Enter your data set to instantly get the five-number summary (minimum, Q1, median, Q3, maximum), the interquartile range, Tukey outlier fences, a box plot and a step-by-step explanation. Choose between three quartile methods.<\/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":[75],"class_list":["post-67397","post","type-post","status-publish","format-standard","hentry","category-statistics","tag-descriptive-statistics"],"acf":[],"_links":{"self":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/67397","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=67397"}],"version-history":[{"count":1,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/67397\/revisions"}],"predecessor-version":[{"id":67398,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/67397\/revisions\/67398"}],"wp:attachment":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/media?parent=67397"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/categories?post=67397"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/tags?post=67397"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}