{"id":44710,"date":"2025-06-03T11:42:57","date_gmt":"2025-06-03T03:42:57","guid":{"rendered":"https:\/\/www.wukongsch.com\/blog\/?p=44710"},"modified":"2026-05-21T14:18:57","modified_gmt":"2026-05-21T06:18:57","slug":"variance-formula-in-ma","status":"publish","type":"post","link":"https:\/\/www.wukongsch.com\/blog\/variance-formula-in-ma-post-44710\/","title":{"rendered":"Variance Formula: Population, Sample, Calculator and Examples"},"content":{"rendered":"<div style=\"margin-top: 0px; margin-bottom: 0px;\" class=\"sharethis-inline-share-buttons\" ><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"quick-answer-what-is-the-variance-formula\"><\/span>Quick Answer: What Is the Variance Formula?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Variance measures how far a set of data values spreads out from the mean. A small variance means the values are close to the mean, while a large variance means the values are more spread out.<\/p>\n\n\n\n<p>There are two main variance formulas:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Type of variance<\/th><th>Formula<\/th><th>Use when<\/th><\/tr><\/thead><tbody><tr><td>Population variance<\/td><td>\u03c3\u00b2 = \u03a3(x\u1d62 &#8211; \u03bc)\u00b2 \/ N<\/td><td>You have data for every member of the group<\/td><\/tr><tr><td>Sample variance<\/td><td>s\u00b2 = \u03a3(x\u1d62 &#8211; x\u0304)\u00b2 \/ (n &#8211; 1)<\/td><td>You have only a sample and want to estimate the population variance<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>In these formulas:<\/p>\n<div class=\"retention-card-new\" data-lang=\"en\" data-subject=\"MATH\" data-btnName=\"Get started free!\" data-subTitle=\"Suitable for students worldwide, from grades 1 to 12.\">\r\n    <div class=\"retention-card-l\">\r\n        <div class=\"trustpilot-image\"><\/div>\r\n        <h3><p>Discovering the maths whiz in every child,<br \/>\n<span>that&#8217;s what we do.<\/span><\/p>\n<\/h3>\r\n        <p>Suitable for students worldwide, from grades 1 to 12.<\/p>\r\n        <a class=\"retention-card-button is-point\" href=\"https:\/\/www.wukongsch.com\/independent-appointment\/?subject=math&amp;l=eafd8b18-486b-4e0a-b93d-4105d41d2067&amp;booking_triggerevent=BLOG_DETAIL_MODEL_CTA_BUTTON\" data-buttonname=\"\u7acb\u5373\u9884\u7ea6\u6309\u94ae\u70b9\u51fb\" data-event=\"C_Blog_BLOG_DETAIL_MIDDLE_CTA_BUTTON\" data-expose-buttonname=\"\u7acb\u5373\u9884\u7ea6\u6309\u94ae\u66dd\u5149\" data-expose-event=\"D_Blog_BLOG_DETAIL_MIDDLE_CTA_BUTTON\" target=\"_blank\" title=\"Get started free!\">\r\n            Get started free!\r\n        <\/a>\r\n    <\/div>\r\n    <div class=\"retention-card-r\"><\/div>\r\n<\/div>\n\n\n<ul class=\"wp-block-list\">\n<li>x\u1d62 means each data value<\/li>\n\n\n\n<li>\u03bc means the population mean<\/li>\n\n\n\n<li>x\u0304 means the sample mean<\/li>\n\n\n\n<li>N means the total number of values in a population<\/li>\n\n\n\n<li>n means the total number of values in a sample<\/li>\n\n\n\n<li>\u03a3 means &#8220;add them all together&#8221;<\/li>\n<\/ul>\n\n\n\n<p>To calculate variance, find the mean, subtract the mean from each value, square each difference, add the squared differences, and divide by N for population variance or n &#8211; 1 for sample variance.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"variance-formula-population-vs-sample\"><\/span>Variance Formula: Population vs Sample<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The formula you use depends on whether your data represents an entire population or only a sample.<\/p>\n\n\n\n<p>If you collect the test scores of every student in one class, you can use the population variance formula because you have the full group. If you collect scores from only 20 students to estimate the performance of a much larger grade level, you should use the sample variance formula.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Feature<\/th><th>Population variance<\/th><th>Sample variance<\/th><\/tr><\/thead><tbody><tr><td>Symbol<\/td><td>\u03c3\u00b2<\/td><td>s\u00b2<\/td><\/tr><tr><td>Mean used<\/td><td>\u03bc<\/td><td>x\u0304<\/td><\/tr><tr><td>Denominator<\/td><td>N<\/td><td>n &#8211; 1<\/td><\/tr><tr><td>Best for<\/td><td>Complete data set<\/td><td>Partial data set<\/td><\/tr><tr><td>Common example<\/td><td>Heights of all students in one class<\/td><td>Heights of 30 students chosen from a school<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>The most important difference is the denominator. Population variance divides by N, while sample variance divides by n &#8211; 1. This adjustment helps a sample give a better estimate of the population&#8217;s true variance.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter is-resized\"><img decoding=\"async\" src=\"https:\/\/images.surferseo.art\/7259ccc7-7089-42bb-bcd4-5e7b21ba5832.jpeg\" alt=\"Variance Formula Population and Sample\" style=\"width:643px;height:auto\"\/><\/figure><\/div>\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th><strong>Population Variance Formula<\/strong><\/th><th><strong>Sample Variance Formula<\/strong><\/th><\/tr><tr><td>\u03c3\u00b2 = \u03a3(x_i &#8211; \u03bc)\u00b2 \/ N<\/td><td>s\u00b2 = \u03a3(x_i &#8211; x\u0304)\u00b2 \/ (n &#8211; 1)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"online-variance-calculator\"><\/span><strong>Online<\/strong> <strong>Variance Calculator<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<div id=\"wk-variance-lab-wrap\" style=\"max-width: 550px; margin: 30px auto; font-family: 'Segoe UI', system-ui, sans-serif; color: #333; clear: both; text-align: left;\">\n    <div style=\"background: #fff; border-radius: 20px; border: 1px solid #d1d9ff; box-shadow: 0 10px 30px rgba(63, 81, 181, 0.1); overflow: hidden;\">\n        \n        <!-- \u5934\u90e8 -->\n        <div style=\"background: #3949ab; padding: 25px; text-align: center;\">\n            <h3 style=\"margin: 0 !important; color: #fff !important; font-size: 22px !important; font-weight: bold;\">Step-by-Step Variance Lab<\/h3>\n            <p style=\"margin: 5px 0 0 !important; font-size: 13px; color: #c5cae9; font-style: italic;\">Learn how to calculate Variance &#038; Standard Deviation<\/p>\n        <\/div>\n\n        <div style=\"padding: 25px;\">\n            <!-- \u8f93\u5165\u533a\u57df -->\n            <div style=\"margin-bottom: 20px;\">\n                <label style=\"display:block; font-size:12px; font-weight:bold; color:#666; margin-bottom:8px; text-transform:uppercase;\">Enter Numbers (separated by commas):<\/label>\n                <input type=\"text\" id=\"v-data-input\" value=\"10, 12, 23, 23, 16, 23, 21, 16\" style=\"width:100%; padding:12px; border:2px solid #ddd; border-radius:10px; font-size:16px; outline:none; box-sizing:border-box;\">\n            <\/div>\n\n            <div style=\"display:flex; gap:15px; margin-bottom:25px;\">\n                <div style=\"flex:1;\">\n                    <label style=\"display:block; font-size:11px; color:#999; margin-bottom:4px;\">Data Type:<\/label>\n                    <select id=\"v-data-type\" onchange=\"calculateVariance()\" style=\"width:100%; padding:8px; border-radius:8px; border:1px solid #ddd; font-size:14px;\">\n                        <option value=\"population\">Population (\u03c3\u00b2)<\/option>\n                        <option value=\"sample\" selected>Sample (s\u00b2)<\/option>\n                    <\/select>\n                <\/div>\n                <div style=\"flex:1; display:flex; align-items:flex-end;\">\n                    <button onclick=\"calculateVariance()\" style=\"width:100%; padding:10px; background:#3949ab; color:white; border:none; border-radius:8px; font-weight:bold; cursor:pointer;\">Calculate<\/button>\n                <\/div>\n            <\/div>\n\n            <!-- \u6b65\u9aa4\u5c55\u793a\u533a -->\n            <div id=\"v-steps-container\" style=\"display:none;\">\n                <!-- \u6b65\u9aa4 1: \u5e73\u5747\u6570 -->\n                <div class=\"v-step-card\">\n                    <div class=\"v-step-title\">Step 1: Calculate the Mean (\u03bc or x\u0304)<\/div>\n                    <div id=\"v-step-mean\" class=\"v-step-content\"><\/div>\n                <\/div>\n\n                <!-- \u6b65\u9aa4 2: \u504f\u5dee\u5e73\u65b9 -->\n                <div class=\"v-step-card\">\n                    <div class=\"v-step-title\">Step 2: Find Squared Differences<\/div>\n                    <div style=\"overflow-x:auto;\">\n                        <table style=\"width:100%; font-size:12px; border-collapse:collapse; margin-top:10px;\">\n                            <thead>\n                                <tr style=\"background:#f5f5f5; border-bottom:1px solid #eee;\">\n                                    <th style=\"padding:8px; text-align:left;\">x<\/th>\n                                    <th style=\"padding:8px; text-align:left;\">(x &#8211; mean)<\/th>\n                                    <th style=\"padding:8px; text-align:left;\">(x &#8211; mean)\u00b2<\/th>\n                                <\/tr>\n                            <\/thead>\n                            <tbody id=\"v-table-body\"><\/tbody>\n                        <\/table>\n                    <\/div>\n                <\/div>\n\n                <!-- \u6b65\u9aa4 3: \u6700\u7ec8\u65b9\u5dee -->\n                <div class=\"v-step-card\" style=\"background:#e8eaf6; border:1px solid #3949ab;\">\n                    <div class=\"v-step-title\" style=\"color:#1a237e;\">Final Results<\/div>\n                    <div id=\"v-final-res\" class=\"v-step-content\" style=\"font-size:15px; line-height:1.8;\"><\/div>\n                <\/div>\n            <\/div>\n        <\/div>\n\n        <div style=\"background: #fafafa; padding: 12px; font-size: 11px; color: #999; text-align: center; border-top: 1px solid #eee;\">\n            Interactive Statistics Tool by Wukong Education\n        <\/div>\n    <\/div>\n\n    <style>\n        .v-step-card { margin-bottom: 20px; padding: 15px; background: #fafafa; border-radius: 12px; border: 1px solid #eee; }\n        .v-step-title { font-weight: bold; font-size: 14px; color: #3949ab; margin-bottom: 8px; }\n        .v-step-content { font-size: 13px; color: #444; }\n        #v-table-body td { padding: 8px; border-bottom: 1px solid #f0f0f0; }\n        #wk-variance-lab-wrap button:hover { background: #283593; }\n    <\/style>\n\n    <script>\n    (function() {\n        window.calculateVariance = function() {\n            const input = document.getElementById('v-data-input').value;\n            const type = document.getElementById('v-data-type').value;\n            const stepsContainer = document.getElementById('v-steps-container');\n            \n            \/\/ \u89e3\u6790\u6570\u636e\n            const nums = input.split(',').map(n => parseFloat(n.trim())).filter(n => !isNaN(n));\n            \n            if (nums.length < 2) {\n                alert(\"Please enter at least 2 numbers.\");\n                return;\n            }\n\n            stepsContainer.style.display = 'block';\n\n            \/\/ 1. \u8ba1\u7b97\u5e73\u5747\u6570\n            const sum = nums.reduce((a, b) => a + b, 0);\n            const mean = sum \/ nums.length;\n            document.getElementById('v-step-mean').innerHTML = `Sum = ${sum.toFixed(2)}<br>Count (n) = ${nums.length}<br><b>Mean = ${mean.toFixed(2)}<\/b>`;\n\n            \/\/ 2. \u8ba1\u7b97\u504f\u5dee\u5e73\u65b9\u548c\n            let ss = 0;\n            let tableHtml = \"\";\n            nums.forEach(x => {\n                const diff = x - mean;\n                const sqDiff = diff * diff;\n                ss += sqDiff;\n                tableHtml += `<tr>\n                    <td>${x}<\/td>\n                    <td>${diff.toFixed(2)}<\/td>\n                    <td>${sqDiff.toFixed(2)}<\/td>\n                <\/tr>`;\n            });\n            document.getElementById('v-table-body').innerHTML = tableHtml;\n\n            \/\/ 3. \u8ba1\u7b97\u65b9\u5dee\u548c\u6807\u51c6\u5dee\n            const denominator = (type === 'population') ? nums.length : nums.length - 1;\n            const variance = ss \/ denominator;\n            const stdDev = Math.sqrt(variance);\n\n            const formulaLabel = (type === 'population') ? '\u03c3\u00b2 (Population)' : 's\u00b2 (Sample)';\n            const formulaText = (type === 'population') ? `SS \/ n = ${ss.toFixed(2)} \/ ${nums.length}` : `SS \/ (n-1) = ${ss.toFixed(2)} \/ ${nums.length - 1}`;\n\n            document.getElementById('v-final-res').innerHTML = `\n                Sum of Squares (SS): <b>${ss.toFixed(2)}<\/b><br>\n                Variance (${formulaLabel}): <b>${variance.toFixed(4)}<\/b><br>\n                Standard Deviation: <b>${stdDev.toFixed(4)}<\/b><br>\n                <small style=\"color:#666;\">Formula used: ${formulaText}<\/small>\n            `;\n        };\n\n        \/\/ \u521d\u59cb\u5316\n        setTimeout(calculateVariance, 100);\n    })();\n    <\/script>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"how-to-calculate-variance-in-5-steps\"><\/span>How to Calculate Variance in 5 Steps?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>You can calculate variance by following the same basic steps every time.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 1: Find the mean<\/h3>\n\n\n\n<p>Add all values together and divide by the number of values.<\/p>\n\n\n\n<p>For the data set&nbsp;8, 12, 10, 14, 16:<\/p>\n\n\n\n<p><code>Mean = (8 + 12 + 10 + 14 + 16) \/ 5 <\/code><\/p>\n\n\n\n<p><code>Mean = 60 \/ 5 <\/code><\/p>\n\n\n\n<p><code>Mean = 12<\/code><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 2: Subtract the mean from each value<\/h3>\n\n\n\n<p>Find how far each value is from the mean.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Value<\/th><th>Value &#8211; mean<\/th><\/tr><\/thead><tbody><tr><td>8<\/td><td>-4<\/td><\/tr><tr><td>12<\/td><td>0<\/td><\/tr><tr><td>10<\/td><td>-2<\/td><\/tr><tr><td>14<\/td><td>2<\/td><\/tr><tr><td>16<\/td><td>4<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Step 3: Square each difference<\/h3>\n\n\n\n<p>Squaring removes negative signs and gives more weight to values that are farther from the mean.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Value<\/th><th>Difference<\/th><th>Squared difference<\/th><\/tr><\/thead><tbody><tr><td>8<\/td><td>-4<\/td><td>16<\/td><\/tr><tr><td>12<\/td><td>0<\/td><td>0<\/td><\/tr><tr><td>10<\/td><td>-2<\/td><td>4<\/td><\/tr><tr><td>14<\/td><td>2<\/td><td>4<\/td><\/tr><tr><td>16<\/td><td>4<\/td><td>16<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Step 4: Add the squared differences<\/h3>\n\n\n\n<p><code>16 + 0 + 4 + 4 + 16 = 40<\/code><\/p>\n\n\n\n<p>The sum of squared differences is 40.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 5: Divide by N or n &#8211; 1<\/h3>\n\n\n\n<p>For population variance:<\/p>\n\n\n\n<p><code>\u03c3\u00b2 = 40 \/ 5 = 8<\/code><\/p>\n\n\n\n<p>For sample variance:<\/p>\n\n\n\n<p><code>s\u00b2 = 40 \/ (5 - 1) = 10<\/code><\/p>\n\n\n\n<p>So the population variance is 8, and the sample variance is 10.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"population-variance-formula\"><\/span><strong>Population Variance<\/strong> <strong>Formula<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The population variance formula is:<\/p>\n\n\n\n<p><code>\u03c3\u00b2 = \u03a3(x\u1d62 - \u03bc)\u00b2 \/ N<\/code><\/p>\n\n\n\n<p>Use this formula when your data set includes every member of the population you are studying.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Population Variance Example<\/h3>\n\n\n\n<p>Suppose five students took a quiz, and these are all the scores in the class:<\/p>\n\n\n\n<p><code>6, 8, 10, 12, 14<\/code><\/p>\n\n\n\n<p>First, find the mean:<\/p>\n\n\n\n<p><code>\u03bc = (6 + 8 + 10 + 12 + 14) \/ 5 \u03bc = 50 \/ 5 \u03bc = 10<\/code><\/p>\n\n\n\n<p>Next, subtract the mean and square each difference:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Score<\/th><th>Score &#8211; mean<\/th><th>Squared difference<\/th><\/tr><\/thead><tbody><tr><td>6<\/td><td>-4<\/td><td>16<\/td><\/tr><tr><td>8<\/td><td>-2<\/td><td>4<\/td><\/tr><tr><td>10<\/td><td>0<\/td><td>0<\/td><\/tr><tr><td>12<\/td><td>2<\/td><td>4<\/td><\/tr><tr><td>14<\/td><td>4<\/td><td>16<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Add the squared differences:<\/p>\n\n\n\n<p><code>16 + 4 + 0 + 4 + 16 = 40<\/code><\/p>\n\n\n\n<p>Divide by N:<\/p>\n\n\n\n<p><code>\u03c3\u00b2 = 40 \/ 5 = 8<\/code><\/p>\n\n\n\n<p>The population variance is 8.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"sample-variance-formula\"><\/span><strong>Sample Variance<\/strong> <strong>Formula<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The sample variance formula is:<\/p>\n\n\n\n<p><code>s\u00b2 = \u03a3(x\u1d62 - x\u0304)\u00b2 \/ (n - 1)<\/code><\/p>\n\n\n\n<p>Use this formula when your data set is only a sample from a larger population.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Sample Variance Example<\/h3>\n\n\n\n<p>A teacher randomly selects five students from a larger grade level and records their test scores:<\/p>\n\n\n\n<p><code>78, 82, 85, 88, 90<\/code><\/p>\n\n\n\n<p>Find the sample mean:<\/p>\n\n\n\n<p><code>x\u0304 = (78 + 82 + 85 + 88 + 90) \/ 5 x\u0304 = 423 \/ 5 x\u0304 = 84.6<\/code><\/p>\n\n\n\n<p>Now calculate the squared differences:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Score<\/th><th>Score &#8211; mean<\/th><th>Squared difference<\/th><\/tr><\/thead><tbody><tr><td>78<\/td><td>-6.6<\/td><td>43.56<\/td><\/tr><tr><td>82<\/td><td>-2.6<\/td><td>6.76<\/td><\/tr><tr><td>85<\/td><td>0.4<\/td><td>0.16<\/td><\/tr><tr><td>88<\/td><td>3.4<\/td><td>11.56<\/td><\/tr><tr><td>90<\/td><td>5.4<\/td><td>29.16<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Add the squared differences:<\/p>\n\n\n\n<p><code>43.56 + 6.76 + 0.16 + 11.56 + 29.16 = 91.2<\/code><\/p>\n\n\n\n<p>Divide by n &#8211; 1:<\/p>\n\n\n\n<p><code>s\u00b2 = 91.2 \/ (5 - 1) s\u00b2 = 91.2 \/ 4 s\u00b2 = 22.8<\/code><\/p>\n\n\n\n<p>The sample variance is 22.8.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"why-does-sample-variance-use-n-%e2%80%93-1\"><\/span>Why Does Sample Variance Use n &#8211; 1?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Sample variance uses n &#8211; 1 because a sample usually underestimates how spread out the full population is.<\/p>\n\n\n\n<p>When you calculate the sample mean, the values in the sample are already centered around that sample mean. This often makes the sample look slightly less spread out than the full population. Dividing by n &#8211; 1 instead of n makes the variance a little larger, which helps correct that underestimation.<\/p>\n\n\n\n<p>This adjustment is called Bessel&#8217;s correction.<\/p>\n\n\n\n<p>For students, the simple rule is:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Use N when you have the whole population.<\/li>\n\n\n\n<li>Use n &#8211; 1 when you only have a sample.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"variance-vs-standard-deviation\"><\/span>Variance vs Standard Deviation<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Variance and standard deviation both measure spread, but they are reported in different units.<\/p>\n\n\n\n<p>Variance is measured in squared units. Standard deviation is the square root of variance, so it uses the same units as the original data.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Measure<\/th><th>Formula<\/th><th>Unit<\/th><th>Meaning<\/th><\/tr><\/thead><tbody><tr><td>Variance<\/td><td>Average squared distance from the mean<\/td><td>Squared units<\/td><td>Measures overall spread<\/td><\/tr><tr><td>Standard deviation<\/td><td>Square root of variance<\/td><td>Original units<\/td><td>Easier to interpret<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>For example, if exam scores have a variance of 25 points squared, the standard deviation is:<\/p>\n\n\n\n<p><code>\u221a25 = 5<\/code><\/p>\n\n\n\n<p>That means scores typically vary by about 5 points from the mean.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"alternative-variance-formula\"><\/span>Alternative Variance Formula<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Another useful formula for variance is:<\/p>\n\n\n\n<p><code>Var(X) = E(X\u00b2) - [E(X)]\u00b2<\/code><\/p>\n\n\n\n<p>This means:<\/p>\n\n\n\n<p><code>Variance = mean of the squares - square of the mean<\/code><\/p>\n\n\n\n<p>For a data set, the population version can be written as:<\/p>\n\n\n\n<p><code>\u03c3\u00b2 = [\u03a3x\u1d62\u00b2 \/ N] - \u03bc\u00b2<\/code><\/p>\n\n\n\n<p>This formula is often faster when you already know the sum of the values and the sum of the squared values.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Alternative Formula Example<\/h3>\n\n\n\n<p>For the data set:<\/p>\n\n\n\n<p><code>2, 4, 6<\/code><\/p>\n\n\n\n<p>Find the mean:<\/p>\n\n\n\n<p><code>\u03bc = (2 + 4 + 6) \/ 3 = 4<\/code><\/p>\n\n\n\n<p>Find the mean of the squares:<\/p>\n\n\n\n<p><code>(2\u00b2 + 4\u00b2 + 6\u00b2) \/ 3 = (4 + 16 + 36) \/ 3 = 56 \/ 3 = 18.67<\/code><\/p>\n\n\n\n<p>Subtract the square of the mean:<\/p>\n\n\n\n<p><code>18.67 - 4\u00b2 = 18.67 - 16 = 2.67<\/code><\/p>\n\n\n\n<p>The population variance is about 2.67.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"variance-formula-for-grouped-data\"><\/span>Variance Formula for Grouped Data<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>When data is organized in a frequency table, use the grouped data variance formula.<\/p>\n\n\n\n<p>For population variance:<\/p>\n\n\n\n<p><code>\u03c3\u00b2 = \u03a3f(x - \u03bc)\u00b2 \/ N<\/code><\/p>\n\n\n\n<p>For sample variance:<\/p>\n\n\n\n<p><code>s\u00b2 = \u03a3f(x - x\u0304)\u00b2 \/ (n - 1)<\/code><\/p>\n\n\n\n<p>In these formulas:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>f means frequency<\/li>\n\n\n\n<li>x means the value or class midpoint<\/li>\n\n\n\n<li>\u03bc or x\u0304 means the mean<\/li>\n\n\n\n<li>N or n means the total frequency<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Grouped Data Example<\/h3>\n\n\n\n<p>Suppose the table shows how many students earned each score:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Score<\/th><th>Frequency<\/th><\/tr><\/thead><tbody><tr><td>70<\/td><td>2<\/td><\/tr><tr><td>80<\/td><td>3<\/td><\/tr><tr><td>90<\/td><td>5<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>First, find the mean:<\/p>\n\n\n\n<p><code>Mean = (70 \u00d7 2 + 80 \u00d7 3 + 90 \u00d7 5) \/ (2 + 3 + 5) <\/code><\/p>\n\n\n\n<p><code>Mean = (140 + 240 + 450) \/ 10 <\/code><\/p>\n\n\n\n<p><code>Mean = 830 \/ 10 = 83<\/code><\/p>\n\n\n\n<p>Then calculate the squared differences with frequency:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Score<\/th><th>Frequency<\/th><th>Score &#8211; mean<\/th><th>Squared difference<\/th><th>f \u00d7 squared difference<\/th><\/tr><\/thead><tbody><tr><td>70<\/td><td>2<\/td><td>-13<\/td><td>169<\/td><td>338<\/td><\/tr><tr><td>80<\/td><td>3<\/td><td>-3<\/td><td>9<\/td><td>27<\/td><\/tr><tr><td>90<\/td><td>5<\/td><td>7<\/td><td>49<\/td><td>245<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Add the weighted squared differences:<\/p>\n\n\n\n<p><code>338 + 27 + 245 = 610<\/code><\/p>\n\n\n\n<p>Population variance:<\/p>\n\n\n\n<p><code>\u03c3\u00b2 = 610 \/ 10 = 61<\/code><\/p>\n\n\n\n<p>The population variance is 61.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"how-to-find-variance-in-excel-google-sheets-and-python\"><\/span>How to Find Variance in Excel, Google Sheets, and Python<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Many students and teachers calculate variance using spreadsheets or programming tools.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Excel and Google Sheets<\/h3>\n\n\n\n<p>Use these functions:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Function<\/th><th>Meaning<\/th><\/tr><\/thead><tbody><tr><td>=VAR.P(A1:A10)<\/td><td>Population variance<\/td><\/tr><tr><td>=VAR.S(A1:A10)<\/td><td>Sample variance<\/td><\/tr><tr><td>=STDEV.P(A1:A10)<\/td><td>Population standard deviation<\/td><\/tr><tr><td>=STDEV.S(A1:A10)<\/td><td>Sample standard deviation<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Use&nbsp;VAR.P&nbsp;when your data is the full population. Use&nbsp;VAR.S&nbsp;when your data is a sample.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Python<\/h3>\n\n\n\n<p>In Python, you can use NumPy:<\/p>\n\n\n\n<p><code>import numpy as np data = [8, 12, 10, 14, 16] <\/code><\/p>\n\n\n\n<p><code>population_variance = np.var(data) <\/code><\/p>\n\n\n\n<p><code>sample_variance = np.var(data, ddof=1) print(population_variance) print(sample_variance)<\/code><\/p>\n\n\n\n<p>The&nbsp;ddof=1&nbsp;setting tells Python to divide by n &#8211; 1, which gives the sample variance.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"low-variance-vs-high-variance\"><\/span>Low Variance vs High Variance<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Variance helps you understand whether values are consistent or widely spread out.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Variance level<\/th><th>What it means<\/th><th>Example<\/th><\/tr><\/thead><tbody><tr><td>Low variance<\/td><td>Values are close to the mean<\/td><td>Test scores of 88, 89, 90, 91, 92<\/td><\/tr><tr><td>High variance<\/td><td>Values are far from the mean<\/td><td>Test scores of 60, 75, 90, 95, 100<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Low variance often suggests consistency. High variance suggests more variability or less predictability.<\/p>\n\n\n\n<p>For example, two classes may have the same average score, but one class may have much higher variance. That means students in that class performed very differently from one another, even if the average score looks normal.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"common-mistakes-when-calculating-variance\"><\/span>Common Mistakes When Calculating Variance<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Mistake 1: Using n instead of n &#8211; 1 for a sample<\/h3>\n\n\n\n<p>If your data is a sample, use n &#8211; 1 in the denominator. Using n will usually make the variance too small.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Mistake 2: Forgetting to square the differences<\/h3>\n\n\n\n<p>If you add the differences without squaring them, positive and negative values can cancel out. Squaring makes every difference positive.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Mistake 3: Confusing variance with standard deviation<\/h3>\n\n\n\n<p>Variance is in squared units. Standard deviation is in the original units. If you need an easier real-world interpretation, standard deviation is often more useful.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Mistake 4: Choosing the wrong mean<\/h3>\n\n\n\n<p>Use \u03bc for population variance and x\u0304 for sample variance. The calculation is similar, but the meaning is different.<\/p>\n<div class=\"retention-card-new\" data-lang=\"en\" data-subject=\"MATH\" data-btnName=\"Get started free!\" data-subTitle=\"Suitable for students worldwide, from grades 1 to 12.\">\r\n    <div class=\"retention-card-l\">\r\n        <div class=\"trustpilot-image\"><\/div>\r\n        <h3><p>Discovering the maths whiz in every child,<br \/>\n<span>that&#8217;s what we do.<\/span><\/p>\n<\/h3>\r\n        <p>Suitable for students worldwide, from grades 1 to 12.<\/p>\r\n        <a class=\"retention-card-button is-point\" href=\"https:\/\/www.wukongsch.com\/independent-appointment\/?subject=math&amp;l=eafd8b18-486b-4e0a-b93d-4105d41d2067&amp;booking_triggerevent=BLOG_DETAIL_MODEL_CTA_BUTTON\" data-buttonname=\"\u7acb\u5373\u9884\u7ea6\u6309\u94ae\u70b9\u51fb\" data-event=\"C_Blog_BLOG_DETAIL_MIDDLE_CTA_BUTTON\" data-expose-buttonname=\"\u7acb\u5373\u9884\u7ea6\u6309\u94ae\u66dd\u5149\" data-expose-event=\"D_Blog_BLOG_DETAIL_MIDDLE_CTA_BUTTON\" target=\"_blank\" title=\"Get started free!\">\r\n            Get started free!\r\n        <\/a>\r\n    <\/div>\r\n    <div class=\"retention-card-r\"><\/div>\r\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Quick Answer: What Is the Variance Formula? Variance measures how far a set of data values spreads out from the mean. A small variance means the values are close to the mean, while a large variance means the values are more spread out. There are two main variance formulas: Type of variance Formula Use when Population variance \u03c3\u00b2 = \u03a3(x\u1d62 &#8211; \u03bc)\u00b2 \/ N You have data for every member of the group Sample variance s\u00b2 = \u03a3(x\u1d62 &#8211; x\u0304)\u00b2 \/ (n &#8211; 1) You have only a sample and want to estimate the population variance In these formulas: To calculate variance, find the mean, subtract the mean from each value, square each difference, add the squared differences, and divide&#46;&#46;&#46;<\/p>\n","protected":false},"author":211806806,"featured_media":44711,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","footnotes":""},"categories":[134689],"tags":[137375],"class_list":["post-44710","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-math-learning","tag-math-words"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Variance Formula: Population vs Sample, Steps + Calculator<\/title>\n<meta name=\"description\" content=\"Learn the variance formula for population and sample data, when to divide by n vs n-1, and calculate variance with steps, examples, and a free calculator.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Variance Formula: Population vs Sample, Steps + Calculator\" \/>\n<meta property=\"og:description\" content=\"Learn the variance formula for population and sample data, when to divide by n vs n-1, and calculate variance with steps, examples, and a free calculator.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.wukongsch.com\/blog\/variance-formula-in-ma-post-44710\/\" \/>\n<meta property=\"og:site_name\" content=\"WuKong Edu Blog\" \/>\n<meta property=\"article:published_time\" content=\"2025-06-03T03:42:57+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-05-21T06:18:57+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/wp-more.wukongedu.net\/blog\/wp-content\/uploads\/2025\/06\/123.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"443\" \/>\n\t<meta property=\"og:image:height\" content=\"239\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Nathan | WuKong Math Teacher\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Nathan | WuKong Math Teacher\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"7 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.wukongsch.com\/blog\/variance-formula-in-ma-post-44710\/\",\"url\":\"https:\/\/www.wukongsch.com\/blog\/variance-formula-in-ma-post-44710\/\",\"name\":\"Variance Formula: Population vs Sample, Steps + Calculator\",\"isPartOf\":{\"@id\":\"https:\/\/www.wukongsch.com\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.wukongsch.com\/blog\/variance-formula-in-ma-post-44710\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.wukongsch.com\/blog\/variance-formula-in-ma-post-44710\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/wp-more.wukongedu.net\/blog\/wp-content\/uploads\/2025\/06\/123.jpeg\",\"datePublished\":\"2025-06-03T03:42:57+00:00\",\"dateModified\":\"2026-05-21T06:18:57+00:00\",\"author\":{\"@id\":\"https:\/\/www.wukongsch.com\/blog\/#\/schema\/person\/f7c6e78c0d29125aa11f1f74b784cf6a\"},\"description\":\"Learn the variance formula for population and sample data, when to divide by n vs n-1, and calculate variance with steps, examples, and a free calculator.\",\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.wukongsch.com\/blog\/variance-formula-in-ma-post-44710\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.wukongsch.com\/blog\/variance-formula-in-ma-post-44710\/#primaryimage\",\"url\":\"https:\/\/wp-more.wukongedu.net\/blog\/wp-content\/uploads\/2025\/06\/123.jpeg\",\"contentUrl\":\"https:\/\/wp-more.wukongedu.net\/blog\/wp-content\/uploads\/2025\/06\/123.jpeg\",\"width\":443,\"height\":239,\"caption\":\"math\"},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.wukongsch.com\/blog\/#website\",\"url\":\"https:\/\/www.wukongsch.com\/blog\/\",\"name\":\"WuKong Edu Blog\",\"description\":\"Get latest news of WuKong Education and Tips of WuKong Chinese, Math &amp; English ELA. 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