{"id":639685,"date":"2023-06-26T06:48:52","date_gmt":"2023-06-26T01:18:52","guid":{"rendered":"https:\/\/infinitylearn.com\/surge\/question\/the-mean-of-the-following-distribution-is-48-and-sum-of-all-the-frequencies-is-50-find-the-missing-frequencies-x-and-y\/"},"modified":"2025-06-26T17:37:24","modified_gmt":"2025-06-26T12:07:24","slug":"the-mean-of-the-following-distribution-is-48-and-sum-of-all-the-frequencies-is-50-find-the-missing-frequencies-x-and-y","status":"publish","type":"questions","link":"https:\/\/infinitylearn.com\/surge\/question\/mathematics\/the-mean-of-the-following-distribution-is-48-and-sum-of-all\/","title":{"rendered":"The mean of the following distribution is 48 and sum of all the frequencies is 50. Find the missing frequencies x and y."},"content":{"rendered":"","protected":false},"author":1,"template":"","meta":{"_yoast_wpseo_focuskw":"","_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"The mean of the following distribution is 48 and sum of all the frequencies is 50. Find the missing frequencies x and y.","custom_permalink":"question\/mathematics\/the-mean-of-the-following-distribution-is-48-and-sum-of-all\/"},"categories":[],"acf":{"question":"<p style=\"margin-top:0pt; margin-bottom:0pt\"><span>The mean of the following distribution is 48 and sum of all the frequencies is 50. <\/span><\/p><br><p style=\"margin-top:0pt; margin-bottom:0pt\"><img 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\" width=\"485\" height=\"74\" alt=\"\" class=\"image_resized\" style=\"width:485px;height:74px\"><\/p><p style=\"margin-top:0pt; margin-bottom:0pt\"><span>Find the missing frequencies x and y.<\/span><\/p><br><pstyle=\"margin-top:0pt;margin-bottom:0pt\"><spanstyle=\"-aw-import:ignore\"><p><\/p><pstyle=\"margin-top:0pt;margin-bottom:0pt\"><spanstyle=\"-aw-import:ignore\"><p><\/p><\/spanstyle=\"-aw-import:ignore\"><\/pstyle=\"margin-top:0pt;margin-bottom:0pt\"><\/spanstyle=\"-aw-import:ignore\"><\/pstyle=\"margin-top:0pt;margin-bottom:0pt\">","options":[{"option":"15 and 10","correct":false},{"option":"10 and 15","correct":false},{"option":"13 and 12","correct":false},{"option":"12 and 13<span>&nbsp;<\/span>","correct":true}],"solution":"<span>Given that the mean of the following distribution is 48 and sum of all the frequencies is 50.<\/span><br><img src=\"data:image\/jpeg;base64,iVBORw0KGgoAAAANSUhEUgAAAeUAAABKCAYAAACFDUztAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAABL\/SURBVHhe7Z3fq2fTG8fnH3DjYm5dSS40Fy7IDaKZC\/KjqHFBhBkjkRhKiUYYUyYkzBAmw0hhSEQUNZGo8StmRhgaPxtCDPJjfXvvb8\/uOevsvdd7nb33+azz+bx3neac83nO2mu\/1rOe91rPej6fWRZ0iYAIiIAIiIAIFEFgWRG9UCdEQAREQAREQASCRFlOIAIiIAIiIAKFEJgnysuWLQv6EgP5gHxAPiAfkA+M7wPxWqBRlAtZMKgbEQFMEF08AfESK54AZymfEieOAGfV5E8SZY5dEVYKCHnDIF48L7HiWImTOHEEOCuJMsepWCsFhLyhES+el1hxrMRJnDgCnJVEmeNUrJUCQt7QiBfPS6w4VuIkThwBzkqizHEq1koBIW9oxIvnJVYcK3ESJ44AZyVR5jgVa6WAkDc04sXzEiuOlTiJE0eAs5Ioc5yKtVJAyBsa8eJ5iRXHSpzEiSPAWUmUOU7FWikg5A2NePG8xIpjJU7ixBHgrCTKHKdirRQQ8oZGvHheYsWxEidx4ghwVhJljlOxVgoIeUMjXjwvseJYiZM4cQQ4K4kyx6lYKwWEvKERL56XWHGsxEmcOAKc1aCivGvXrjmfkb19+\/Zw8ODBsHXr1ro3+N3atWvDoUOHuB72sNqwYcOc\/uDnpXCB46pVqyp2qUsBIUVo7uvixfOaZlY\/\/\/xzuOuuuwaJQwvh9OKLLwbM81m6FsJplvjYsw4iyhBYCO2KFSvCnj175ggwbmBiCEHGz4slyugI+oN+LZUJYAuboUT5t99+C48\/\/ng45ZRTKvbHHXdc2LFjR\/j777\/rcfr333\/D008\/Xb122GGHhXPPPTfs3r17UefDf\/\/9F957771w0UUXhcMPP7z6wvefffbZnH58++234bLLLqteP+qoo8Ldd9+dFVhTgQG87rvvvoqF8Xr44YeL4+WhYCw3btzYOK\/68Eqx8n34+OOPK2bxPCvBtyw+4Xn8VxyHFsoqxSnerFgfPKsSOPnx\/PLLL8Mtt9xSzbEnn3xykDmY4mQ3+fPPP8NLL70UzjrrrHDGGWeEn376qahYZZoS+xNi56uvvlr3dUh\/yv7sa4htLMjWMzie36Eu5k7ZRHnlypVzFgsptYl39yn7oV8faqf8xx9\/hCuuuKLKVCAwIXhv27YtHHHEEeHtt9+uu\/3GG2+EE088MXz44YcBE+K2224LJ598cjhw4MDQj9ba3ltvvRVOP\/30WoRx79WrV4fLL7884DlwWXBF\/9BP9BdCgOeDqDNXV2AwXg899FDVPng99dRTYfny5QH9s6sEXv5ZX3vttSp4xiLTlxcbRLGQWbduXbWgi0W5BFbGAbGn7erDKsWJmc8lcAIbzCMs0BEPXnjhhYCx9deYnHCfH374IVxwwQXh2muvrWIBFiv+KoHTu+++GxAjfN\/ADP3+5Zdfeseq3jtlCBh2dW2pYQzili1b6t3MUhBlPMskU93MJDZHTQWEOAh9\/fXX4aSTTgoWoCA+V155Zdi8eXNtun\/\/\/nDCCSeE5557jtG5UWwQHG666aZw3XXXhb\/++qu6BxYSWCygf3ah3+ecc05AOpK5cnl98sknFQvLHJTGCzvUiy++uHGn3JcXwwoLlzvuuKPyn1NPPXWOKJfCihHlPqxSnFLzuRROmD+vv\/56FR\/gV03XmJywAMAiHFkfn8mzfpTEybPBTh7ZRQizXUNzytopW2qmaxXqHyAWZUtpWyrAt2NpAog+7rNz586qKVsIWFran1nHjoQ2\/E7ZJihE16eV8L2169MStvL3tj61jN+jH1h44O8QIPEVP0+cuu967tQk9s+YCghNPI4\/\/vh6p4yVKYLpK6+8Upv+\/vvv4ZJLLpnIwgRijHF49NFHw8033xx+\/PHHul\/Y5Z9\/\/vnh119\/rX+HlXNblqYpqLC8sBB4\/\/33w1VXXRWwE7WdeEm8EMRuuOGGKoA2LXb78mJYIYhDkL\/77rtqce53yqWwYkS5D6sUp9R8LoUTxOXss8+uF+xN82dMThA1pKu\/\/\/77xgVBKZzizr388svVxsCn2YfmtGiiHAsmAosJHibS+vXrq7SziaUJtgmqF9i2XZK\/R3y2ZLth\/Gupv6Y221LwCNYmvvHOGn2Nf2cBq+u58RypSbxQUbazR78SbTpzZ7gyu9JcGz8+xxxzTLj\/\/vvnnBf7cbK2bVHkaxm67psKoMYfdkjHIiX1wQcf1E2WwguLhHvuuaeqF8D3TaLcl1eK1RdffBHWrFlTCbLNUS\/KpbDCAuvGG28Mxx57bJXmx7iiXuGrr76qx7UPqxQnLO5wbyyGcW\/4tq\/rKIUT0rI4Drr33nur81zr67PPPlsvSsfihDG6+uqrq3qR22+\/vR6nSy+9tEpp4yqFk48vWBhfeOGFVTrbX0NzWjRRjh8Czu1FGULZlEZuemBGlGHTJDg+oMWvtxWJ2O6sTRQQpNB\/q6DGv3v37p3XTasQj3ffQxV62Q0RuBHAsbPy50R9HL2NTaqgJiXWWDy8+eabVYBAfy2V1cfR7Z6pAOr7hpUvUuhHH310tWvuGxiG5GU7VGNjPgyhwaIL9+rLq4uV36WDixdlnMNjXpToW+grgjyCPYKpzYU+rHJ8CueQOKs98sgj66KgUjjBh1BvgmMriKT1FfPwo48+qvx\/LE7mPxgX1JMgXtk4YUH1zz\/\/FOlPKOxCJvabb74pR5TNodgz2Lb0NSZxvENsSxn76rdU6rIrfW0UGVFuq97u2qmBie3ukR72b3Gy9HXbcw8pynBwrMxRTRm\/Fa3p\/NgXc6QEdMzXkQLyHJrOj8EPu5BPP\/2U6kpOALUAjvS+jWMJvFLiblmfvry6WLVVFPvK4hJYtTlFfOzRh1WuT8XHQ6Vw8plK44ajIhwZWQX2WJzibKjdH3HztNNOq1LDpXCyvtk8vPPOO+cVmg7NKWunbKunNnG0FbsJkhfAJhFuEiN\/tuyFzZ8tt6UvhxLltjPzLlG258MO2Z\/Zpp576PQ1dlWoWDZBRvESzsBx2aTzjmXFYL7PlOINbBQHCfQHq\/bPP\/+8vtMDDzww75y5qxu5ATQOFqXyakpf9+WVw6opfV0qK\/gHRNkv5vqwyuGEe5soY06WNAfBBEWNvpASBZQ4L7VYMBYnY+ILTsEGu3arIynNn1DMhSp1H4\/8YmKhsap39TU60SaO\/lzY70pNeGNBw87Sp6\/xs4kwxBVvkcHPGDgTYfyM3w8lyrbIwL3RJqpubVfgd8u28+0SZVtJYefi+9f13Lh\/zjlpKiCgCOj666+v03TYNT\/22GNzijkQ0OFAeIsR0qGPPPJIVU3oCxcG1tt5zeGZzzzzzID3R+LCv\/h506ZNVeoKFwpAUAhib4lC8MDPVgDI9LGLF8YLZ1rYoYODvYUMZ4H79u2rmy+BV\/ys6DOK8xDc7OrLK+Vbvg9WhIPA7q8SWMW+hVQj0qTXXHNN9da3vr6V61PPP\/98VZz4zjvvFOVTGEMUet16661z3kKJTJG9PbKPT6X8Cdk8zDUcFSFOWQzwb3kswZ8waPAb+I+l1uP5ODSn7J2ydSj+BK22DxOxs2MEOoiwL5bC9\/g7fJAE2sP3PiWGe0GUkcePK5xjMHF\/ABAC6e\/nq6BtQRBXSqPdpmppn8JryxQ07WDiKm\/rJ9p44okn6v6lUvPoVyog+Of1Z71+5w8Hw46zrQiGEbu+NvahHVh5op9YJMSFXrgHdvlYMDQVzDB96OJlH2CC6nmcrdkHmPhCL5uQk+bln\/WZZ56p+gsmWIDZ+7r78koFUesDFm\/nnXdeNW7wIRQM2VWCbyHO4PwYfbM+4m1cvoq\/D6suTjibffDBB6sP78H44AtFVHjfu39vfQmcwADvDUZxI\/oJ\/8fiBQV9\/lroHEz5ExbB+KAeFMJZDEA8tIVTSXMPx2VYrNhZe1PsGZLTgkWZCYqyGZZAytGHvdvSb028+DEUK46VOIkTR4CzGiR9zd1KVmMQUEDIoypePC+x4liJkzhxBDgriTLHqVgrBYS8oREvnpdYcazESZw4ApyVRJnjVKyVAkLe0IgXz0usOFbiJE4cAc5KosxxKtZKASFvaMSL5yVWHCtxEieOAGclUeY4FWulgJA3NOLF8xIrjpU4iRNHgLOSKHOcirVSQMgbGvHieYkVx0qcxIkjwFlJlDlOxVopIOQNjXjxvMSKYyVO4sQR4KwkyhynYq0UEPKGRrx4XmLFsRInceIIcFYSZY5TsVYKCHlDI148L7HiWImTOHEEOCuJMsepWCsFhLyhES+el1hxrMRJnDgCnBUtyjDUlxjIB+QD8gH5gHxgXB+I5Vuffc0taIqw0io9bxjEi+clVhwrcRInjgBnRe+UueZktdgEFBDyiIsXz0usOFbiJE4cAc5KosxxKtZKASFvaMSL5yVWHCtxEieOAGclUeY4FWulgJA3NOLF8xIrjpU4iRNHgLOSKHOcirVSQMgbGvHieYkVx0qcxIkjwFlJlDlOxVopIOQNjXjxvMSKYyVO4sQR4KwkyhynYq0UEPKGRrx4XmLFsRInceIIcFYSZY5TsVYKCHlDI148L7HiWImTOHEEOCuJMsepWCsFhLyhES+el1hxrMRJnDgCnJVEmeNUrJUCQt7QiBfPS6w4VuIkThwBzkqizHEq1koBIW9oxIvnJVYcK3ESJ44AZ9VLlA8dOhTWrl3b+pnYK1asCHv27OF6IqsFEWACwoYNG+oxwvezfDG8jM\/27dsrbqtWrQoHDx6cOWw5rGYOjntghpPFSsRLfB9fu3btqnwN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width=\"438\" height=\"68\" alt=\"\" class=\"image_resized\" style=\"width:438px;height:68px\"><span>We know that the frequency is generally the total sum of all the data divided by the total number of data present in the following table.<\/span><br><span>And mean is the measure of central tendency as it indicates the average value of the data.<\/span><br><span>Find the value of x and y. <\/span><br><img 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\" width=\"541\" height=\"293\" alt=\"\" class=\"image_resized\" style=\"width:541px;height:293px\"><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><munderover><mo>\u2211<\/mo><mrow><\/mrow><mrow><\/mrow><\/munderover><mrow><\/mrow><msub><mrow><mi>f<\/mi><\/mrow><mrow><mi>i<\/mi><\/mrow><\/msub><mo>=<\/mo><mn>25<\/mn><mo>+<\/mo><mi>x<\/mi><mo>+<\/mo><mi>y<\/mi><mo>=<\/mo><mn>50<\/mn><\/math><span>.<\/span><br><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mo>\u21d2<\/mo><mi>x<\/mi><mo>=<\/mo><mn>25<\/mn><mo>-<\/mo><mn>13<\/mn><\/math><br><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mo>\u21d2<\/mo><mi>x<\/mi><mo>=<\/mo><mn>12<\/mn><\/math><br><span>Substitute the value of x into the equation.<\/span><br><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mi mathvariant=\"italic\">Mean<\/mi><mo>=<\/mo><mi>a<\/mi><mo>+<\/mo><mfenced separators=\"|\"><mrow><mfrac><mrow><munderover><mo>\u2211<\/mo><mrow><\/mrow><mrow><\/mrow><\/munderover><mrow><\/mrow><msub><mrow><mi>f<\/mi><\/mrow><mrow><mi>i<\/mi><\/mrow><\/msub><msub><mrow><mi>u<\/mi><\/mrow><mrow><mi>i<\/mi><\/mrow><\/msub><\/mrow><mrow><munderover><mo>\u2211<\/mo><mrow><\/mrow><mrow><\/mrow><\/munderover><mrow><\/mrow><msub><mrow><mi>f<\/mi><\/mrow><mrow><mi>i<\/mi><\/mrow><\/msub><\/mrow><\/mfrac><\/mrow><\/mfenced><mo>\u00d7<\/mo><mi>h<\/mi><\/math><br><span>In the formula, a is the<\/span><span>&nbsp; <\/span><span>assumed mean, <\/span><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><msub><mrow><mi>f<\/mi><\/mrow><mrow><mi mathvariant=\"italic\">i&nbsp;<\/mi><\/mrow><\/msub><mi>&nbsp;<\/mi><\/math><span>is the frequency of <\/span><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><msup><mrow><mi>i<\/mi><\/mrow><mrow><mi mathvariant=\"italic\">th&nbsp;<\/mi><\/mrow><\/msup><\/math><span>class, <\/span><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mi>X<\/mi><mo>-<\/mo><mi mathvariant=\"italic\">a&nbsp;<\/mi><\/math><span>is the deviation of <\/span><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><msup><mrow><mi>i<\/mi><\/mrow><mrow><mi mathvariant=\"italic\">th&nbsp;<\/mi><\/mrow><\/msup><\/math><span> class, <\/span><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><msub><mrow><mi>x<\/mi><\/mrow><mrow><mi>i<\/mi><\/mrow><\/msub><\/math><span> = class mark = <\/span><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mfrac><mrow><mo>(<\/mo><mi mathvariant=\"italic\">Upper class limit&nbsp;<\/mi><mo>+<\/mo><mi mathvariant=\"italic\">&nbsp;lower class limit<\/mi><\/mrow><mrow><mn>2<\/mn><\/mrow><\/mfrac><\/math><span>, <\/span><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><msub><mrow><mi>u<\/mi><\/mrow><mrow><mi>i<\/mi><\/mrow><\/msub><mo>=<\/mo><mfrac><mrow><msub><mrow><mi>x<\/mi><\/mrow><mrow><mi>i<\/mi><\/mrow><\/msub><mo>-<\/mo><mi>a<\/mi><\/mrow><mrow><mi>h<\/mi><\/mrow><\/mfrac><\/math><span>&nbsp; <\/span><span>, <\/span><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><munderover><mo>\u2211<\/mo><mrow><\/mrow><mrow><\/mrow><\/munderover><mrow><\/mrow><msub><mrow><mi>f<\/mi><\/mrow><mrow><mi>i<\/mi><\/mrow><\/msub><mo>=<\/mo><mi>N<\/mi><mo>=<\/mo><mi>&nbsp;<\/mi><\/math><span>Total number of observations.<\/span><br><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mo>\u21d2<\/mo><mn>48<\/mn><mo>=<\/mo><mn>45<\/mn><mo>+<\/mo><mfenced separators=\"|\"><mrow><mfrac><mrow><mn>2<\/mn><mi mathvariant=\"italic\">y&nbsp;<\/mi><mo>-<\/mo><mi>&nbsp;<\/mi><mn>11<\/mn><\/mrow><mrow><mn>50<\/mn><\/mrow><\/mfrac><\/mrow><\/mfenced><mo>\u00d7<\/mo><mn>10<\/mn><\/math><br><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mo>\u21d2<\/mo><mn>48<\/mn><mo>-<\/mo><mn>45<\/mn><mo>=<\/mo><mfenced separators=\"|\"><mrow><mfrac><mrow><mn>2<\/mn><mi mathvariant=\"italic\">y&nbsp;<\/mi><mo>-<\/mo><mi>&nbsp;<\/mi><mn>11<\/mn><\/mrow><mrow><mn>5<\/mn><\/mrow><\/mfrac><\/mrow><\/mfenced><\/math><br><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mo>\u21d2<\/mo><mn>48<\/mn><mo>-<\/mo><mn>45<\/mn><mo>=<\/mo><mfenced separators=\"|\"><mrow><mfrac><mrow><mn>2<\/mn><mi mathvariant=\"italic\">y&nbsp;<\/mi><mo>-<\/mo><mi>&nbsp;<\/mi><mn>11<\/mn><\/mrow><mrow><mn>5<\/mn><\/mrow><\/mfrac><\/mrow><\/mfenced><\/math><br><span>&nbsp;<\/span><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mo>\u21d2<\/mo><mn>15<\/mn><mo>=<\/mo><mn>2<\/mn><mi>y<\/mi><mo>-<\/mo><mn>11<\/mn><\/math><br><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mo>\u21d2<\/mo><mi>y<\/mi><mo>=<\/mo><mn>13<\/mn><\/math><br><span>Considering the calculated values above,<\/span><span>&nbsp; <\/span><span>the value of x and y is 12 and 13 respectively.<\/span><br><span>Hence, option 4 is correct. <\/span><br><span>&nbsp;<\/span>","subject":"Mathematics"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v17.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The mean of the following distribution is 48 and sum of all the frequencies is 50. 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