Question
Ali packed 140 eggs in 8 cartons. The unit rate per carton will be ____________.
- 17.5
- 4.9
- 17.4
- 18.2
The correct answer is: 17.5
In this question it is given that Ali packed 140 eggs in 8 cartons and asked find the unit rate per carton
No of eggs packed in 8 cartons=140
No of eggs packed in 1 carton = 140/8=17.5
In this question we divided the total no of eggs with no of cartons to obtain the no of eggs in each carton.
Unit rate per carton=17.5
Related Questions to study
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Analyze the table below and answer the question that follow.
![](data:image/png;base64,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)
The unit rate of expensive brand is ____________.
Analyze the table below and answer the question that follow.
![](data:image/png;base64,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)
The unit rate of expensive brand is ____________.
Analyze the table below and answer the question that follow.
![](data:image/png;base64,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)
The best unit rate of purchase among all the three brands is ________________.
Analyze the table below and answer the question that follow.
![](data:image/png;base64,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)
The best unit rate of purchase among all the three brands is ________________.
Analyze the table below and answer the question that follow.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAmEAAABiCAYAAAAY/gTMAAAf1ElEQVR4nO3d72sbR/4H8Pd+6eOka/XRcZSi1ZNwBy7JxoU7+4H7IKu6JXBc7nbrhBJISLJuKCTQKJHbB0cTXyWOHJTUto4Y/CCcpGsgoZxcK4UWTqJwiSkSNPRBtaKUcI+kKMn9AfN94M6cVtq1ZVv+mfcLRKPZ0WrkzmdndndmRxNCCPzs5s2bOH36NIiIiIhoc/3fdheAiIiI6HnEThgRERHRNmAnjIiIiGgbvHDz5s3tLgMRERHRc0drH5gPAJqmbVdZiIiIiPa09m7XC6tlICI/TdMYI0QhGB9E4TovdHFMGBEREdE2YCeMiIiIaBuwE0ZERES0DdgJIyIiItoGG+qElctlOI4DTdOgaRpisRgmJibQbDZRrVYRi8WgaRri8Xi/yku046XTaRUTK73S6fSWlenw4cPqe4m2m2wbNE1DuVz2bcvlcr42ZTvKtRvarHK5jHg8vu7jCY8JO8O6O2HlchkjIyMYHR2FEAKNRgNHjhzBzMwMvv/+ewwODuLf//53P8tKtKuUSiUIIVAqlQLfb6UHDx7ANM0t/16iILVaDYZhAABOnjzp2+Y4DpLJJHRdR61W29Jy7ZY2q16vY2RkBL/73e8ghIBlWWveB48JO8O6O2E3btyAaZo4e/YsACASiWB6eloFlkzbavF4fEuvMBAFsW0bw8PDgduGh4fhuu669ht05aBX2xGPYcrlMs/An3OxWAy2bcPzvK5j9v79+zE0NLTlZdpJMbKS27dvA4BqfxcXF3Hp0qU172erfy/b526BzwnrxZMnTwLTt/rMpV2z2USxWMTrr7++bWUg6uVgOD09veb9LiwsrKc4O9IXX3yx3UWgHeD8+fNYWlrCxx9/jFOnTu2aTtB2++qrr7a7CGvG9jnYuq+ERaNRLC0tIZfL9ZS/Wq2q+9exWAzVarUrTzqdVvfkBwYG1PgyaWJiwncPe3JyEgMDA9A0DblcDq+99hoAIJFIdN0nX1hY8N0Dj8Vi7JHTjlGtVn3jKw8fPuzrdE1OTuLEiRMAgJGRka7xNOVyGRMTEyoewmKsF+1xKMvSvq/OWHIcp+u7On/PwMAAHMcBsHw2PDU1BQC+MXL0/Hn27Bnm5+fRarXw4YcfqvSXX37Zly+TyXTVk2q1quq7PJZ3pi0sLPjGeVWrVdTrdV9bFNaGtbdZAwMDge1FeywMDAxgcnJSbWsf21Yul5HL5VRZVrqavVp8TU5OolgsAkDXcaBTUCwHncw1m03Vvg4MDAT+TVYr10ba55WOF3ue6BCQFKjRaAjTNAUAYVmWKJVKgfkACF3Xheu6otFoCM/zhK7rwjAMXz7XdYWu62o/pVJJ6LouTNPsygdAuK4rCoWCmJ2d9ZUZgEilUr7PlEolX7rnecIwDGFZVk+/lahdrzEiyfoXFiOVSsUXI41GQ9XzQqGw6n5mZ2d7ih3LslYtezKZ7NpX+3dms1kBQMzOzgohlmPJNE2h67rwPE8IsXxs0HVd2Latfo9t277vTqVSa/470u7Q6/9Xy7LUMVnWj/Z613l8TiaTXfvuPLYLsVwnAQjTNFU9lflM0xTJZFK1RYZhCF3Xu8pvGIbK1x6P2WxW5SsUCr5YCCqLjBfbtsXs7KwoFAq++OrUS3zJv91qf2cZY52x3F4+uR/LsoTneaLRaKi09u/rtVzraZ97OV7sJZ2/a92dMCGW/3gyMACoStu5v87GoPMPLIMmmUz68sn/ge0Vv7NiBZW/83+y/Ex7g5bNZtkJo3XpdydMHrg6Y6fzZGW1/bQLOkivduCWcSgPtEEMw+iK50qlog687eVsj2e5b4mdsL1rPZ0wWT/kMTmoExZUZ4I6FrIMsj5KstPQHmdBHbugNqvRaPjKJ8RyLNi23fWb2jt1YeUL00t8ye9Z7e8s87T/Xtd1Azth7Xlku9t+nOm1XOtpn3s5Xuwlnb9rQ4+oiEQiuHbtGjzPg23bmJqawvHjxwPztTt48KDv/ZdffgkA+O1vf+tL/9WvfgUA+Omnn7r2GTboOcixY8eg6zpOnDiBiYkJdelzcXGx530QbZZcLgfTNLviZGhoCJ7nbVk5ZBzKuOtUrVbheR6OHDniSx8cHASwPGMLWI5N0zQxNTUFx3GwsLCAaDTK9QQpVDQaRSqVQrFY7HmIy2peeeUV3/tIJIKhoSFfnO3fvz/ws52xGIlEYFmWug0oY6GzLXv99dfRarW6bs//5je/WbW8vcZXr9577z0AwGuvvYZ0Oo16vY7p6enAMavtv7cz/tdTrrW0z8/78aIvD2uNRqPI5XJwXRfFYnHNs7eePn0KANi3b18/itMlGo3ihx9+gOM4yOVyePXVV+E4jm+8GdF2abVaGx6QLMeEyTEssrFYCxmHYQfQ//73vwDCG652Dx48QCqVwtLSEt58882ucWVEnU6dOgXDMDAxMYFnz55td3FWJGOhfXyTpmlIJBK+7evZZy/x1YuxsTFUKhWYpolEIgHDMNY1Drrf5QryPB8v+vrE/PHxcQDAN998s67Pb2bgyUdo/PDDD0ilUsjn876BoETbaSMnBJlMBkePHsX4+DgWFxfX/dwgabWDn+ysrebSpUuo1WrIZrPwPA+///3v110m2vsikQiuXr2KVquFTz75ZLuLE0jXdd/7bDYLsTysx/day5WgTr3GVy8GBweRy+XU3apEIrHuK439LFeQ5/V4se5OmKZpoZdHe7n02k42GP/85z996Y8ePQIA/PrXv17T/r799lvf+3g8ripeJBLBpUuXYJrmmi/vEm0G27axtLTUVR9rtVrgwxQfPnzoe3/u3Dm4rruhAz/wv7j9/vvvA7cPDw9D13Xk83lfuiz3oUOHACzPyJqYmFDbHceB67qBt1afl7Nd6o3jOL7bfkHa77Rs1ol750mRfLyCvCUnY+Ff//pX376z1/jqVXsbHY1G8emnnwIIHt6zleXqbJ/XcrzYizZ0Jcy2bfU/ol6v48KFCzBNUzUGsiJ3Vugff/xRfQZY7q1bloWZmRk1fVbeXrEsC2NjY6Gf7WSaJu7du4d6vY5qtaqmDMuxYHLfS0tLfF4JbQl5MhH2bKzz588DgHoki5wu7nke/vrXv6p8Bw4cAADcuXMHzWYTuVwOuVxOHSBlnGUymcDYC4tHSY7N+OCDD1Ss1Ot1OI6j4u3y5cvwPE/FVb1eh23b0HUdFy9eVPuamZlRJz71eh35fN53dU6eWP3jH/9Qv50nRc+XWq0WeHXlgw8+CMwv68zf//53AMsdeHni3r4fWY9kW9H+fffv3/elyTydJwNLS0vIZDIAluNF3jW5cuWKyuO6LmZmZlQ+YHl8Z/uSRzL25X9X02t8rRbLkm3bKs/c3BwA/0WSoP0ElbnXcq23fV7teLGnrTZyP8zs7KyaWYGOx1BIhmGo7XIGhZx5IT8jyWnAuq6rbZ2zLTs/W6lUuspVqVTU98ryyJmQ7Z8NmslJ1IteY0SI/03tlq/2mb7tCoWCeuQLfp6dFTTDKJvNCl3Xha7rapZRqVRSdd40TVEoFNQsJRljcgYmfp5+H6Z9ejhCHj+TSqV8sW3btm+aeqlUErZtq1gOyiPE/2amGYbhm7lMu1sv8dFef4JiwnXdwNnrss60H8M799Ne7+RM3/Y6Let/WHui67rIZrOrxoEQ/ljobAPl7MHVYn+lfQbFTnssh7WD8m/VfkwxDMM38znomNBZ5vZ9r1au9bbPvR4v9orO+NB+TlQ0TXtuZiUQrQdjhCgc44MoXGd89HVgPhERERH1hp0wIiIiom3AThgRERHRNnghKJGL6RKtjDFCFI7xQdSbwE4YB1UShePAY6JwjA+icJ0nKLwdSURERLQN2AkjIiIi2gbshBFtsnQ6va6Fc4mIaG9jJ4yIiIhoG6y7ExaLxaBpGjRN8y2+2WlgYEDl247Fetu///Dhwyo9l8up9FgstuXlor2vWq3CcRwkEgkkEgkMDAzAcRzfAsSdHMcJnVm2sLCAw4cP++otr7DRblculxGPx9W6wUHbJyYmVJszMDCg1lkl2vVWW9doJYZhqHXsgrSvm7dda8M1Gg21VlXn2l+maQrbtrmGJK1JLzFSKpXU2nXJZFKkUilRKpV8az52KhQKKl46yVianZ1V9VWu1ZZMJjf2g4j6qNc2xPM835q+QWszyjiyLEutJSjXRQ1aW5Jop+uMjw11wizLUguqBi1OalmWWiQ0KMA2qtf9ykCWi4jLNF3X2QGjNeslRmzbFqZpCiGWGw3Z8SoUCoGx0mg01ALAQfvXdV3tr/N7wk6CiLZDL/EhO2Ce56mTj5U6YZ3HaXliTbTbdNbbDY8Je+ONN6DrOu7evetLr9fruH//Pt56662NfkWgsEvXQYaHh2HbNmZmZtQt0QsXLuDWrVuIRCKbUj56vj158gStVqsrfWxsDI7jdKW/++67uHz5Ml555ZXA/bVarcC6evDgwcDvIdrJotEoFhcXEY1GsW/fvtB8w8PDEEJ01X0OIaG9YsOdsEePHsF1XeTzedTrdZU+NzcH13VDA0ze55djtmKxmG/MmLz/H4/H0Ww21ViZeDyOyclJnDhxAgAwMjKixsisNNZmamoKAJBIJJDJZBCJRDA2NrbRn08U6NChQ/A8D5OTk6vmXVhYwNLSEi5duhSaR9d11Gq1rvRvv/0WpmluqKxEu02tVoNhGNtdDKKNW+1S2UosyxKpVEpUKhU1XkXSdV14nqcuJ7dfap6dnRW6rqs0eWuw83aLYRhq3FapVBKu66pxAEH7XY0cS2AYhhpfQLRWvcRIo9HwjXcJG3sob0PKeixv73eSY8KSyaRvTJiu66JSqWzwFxH1z1raECHWfiyX+YNu6xPtdJ3x0ZdOmBDLg9xlJyqbzarO0kr3+zv31fndlmWFjttaTyes0WioThjHgtF6rSVGstmsGr9iGEZXhymZTPrGKgbFgSQH4re/2BDRTrOZnTA50ao9Zoh2k8746Ntzwk6fPo2lpSVUq1XMz8/j5MmTAIDvvvtuQ/sdGhrq27it27dvwzRNeJ6Hubm5vuyTaCWO4+DMmTOwbRuPHz/G6Oiouu1eLpcxMzODjz76KPCzExMT6hZ7LpfDlStXMDs7C7F88oTZ2Vm8/fbbPd3yJNoLjh8/Dl3XQ2OGaLfpWyfs2LFjAJbHXN2/fz9w8HE7OSYsHo9D0zQUi8V+FSVQvV7HlStXkM/nYVkWEomEbwwb0WY6ePAgvv76a7RaLWQyGQDA1atX0Wq18NJLL6lxjTIONE3DzMyM+vzExASOHDmCs2fPqrSzZ8/Ctm1MTU2xLtOeJ58Ntri4yAlVtGf0rRMWiURg2zaKxSJc110xbyaTwdGjRzE+Po7FxUUIIWBZVr+KEiiZTOLy5cuIRqOYnp4GgBUfMkvUb4ODgzBNU3WYZN1vf8k4kO+Hh4dRLpfRarVw8ODBrn3KtP/85z9b90OItlgul0Mul8PNmzfZAaM9pa/LFr3zzjsAgFOnTq2Y79y5c3BdF8PDwxv+zocPH66ap1wuY2lpSZUrGo0imUyiWCyu6VEXRL3SNC3wid6tVgsvvvjimvZ14MABAMBnn33Wte3HH38EAPziF79YRymJdr5qtYq3334bt27dwuDgoEpvv11PtFttqBNWq9Xw9OlT9X5sbAxCCESjUZUmtz979kyl6bqOfD6vGqlMJqP+3d5w1Wq1wGn5wP8apjt37qDZbKozpU7VahVHjx6Fbdu+MyjZITtx4sS2LKdEe9/x48d9twnT6TQ8z8P58+dDPxMUB5FIBMlkEktLS75YyWQymJmZQTKZ9MUc0W4iT6S/+OKLwO2JRAKu6/oeKVSv1wOP90S7zmoj98PIGV9YYYZW+7JFANTMsFKppD5vmqYoFArq8RHy6d+2bavPGYYRun+5bFLQUjDy0Rlyv+0z00zTDN1GtJJeYiSbzaqn2ct6Jut6GPm0/PY4aJdKpXz11jRNzo6kHafXNsSyLF87Io/17csRyZmTYS8et2m36YwP7edERdM0dCQRUZu1xohcZHulh7ES7RVsQ4jCdcZHX8eEEREREVFveCWMaI0YI0ThGB9E4Trj44WwTEQUjjFCFI7xQdSbwE4Yz2KIwvFMnygc44MoXOcJCseEEREREW0DdsKIiIiItgE7YUSbLJ1Oq8dUEBERSeyEEREREW2DdXfCYrEYNE2DpmkrLoQ9MDCg8m318kDValV9t6ZpvmUuqtWq7zdw6SLqt2q1CsdxkEgkkEgkMDAwAMdxfOvdtdfPzlc8Hlf5ms0mMpkM4vG42n748GGufUq7Vi6Xg+M4qo2IxWKrXjFuNpuIxWK+2CDazdbdCavVajAMA7quh67hlcvl0Gq1AACFQsG3+OpWGBwcRKlUAgCYpgnHcXzbzpw5A13XUalUtrxstLeVy2W8+uqrGB0dRTKZRCqVwueff4579+7hm2++8eWtVCoQQqiXrLMnT55UeY4fP45z587h5MmTEELA8zy0Wi28+eabXMSYdp10Oo23334bhmHghx9+QKPRgGmaSCQSK3bErl+/Ds/ztrCkRJtrQ7cjY7EYXNdFq9UK7IjNz8/DdV0AwL59+zbyVYE0TVu1ARoeHlaLH3de7frb3/6GP//5z+yAUd/duHEDpmni7Nmz2L9/P4Dlunjr1i28/PLLKp9lWV3178aNG9B13XfSAADJZFKlRaNRXL16FQC6OnVEu4Fpmrh27RoikQgikQimpqYAAF999VVg/nK5jHw+D8uytrKYRJtqw2PC3njjDei6jrt37/rS6/U67t+/j7feemujXxFoLbdhLl68CF3XkUgkVFomk0EsFsPZs2c3o3j0nHvy5Im6CtxubGzM17laXFz0ba/X68jn87h8+bIvfXFxEdeuXfOl/fKXv+xjiYm2zqVLl/DgwQNfWjQaDc3fbDZx8uRJzM/Pb3bRiLbUhjthjx49guu6yOfzqNfrKn1ubg6u64ZeASuXy5iYmPCNB2i/UiXHa8XjcTSbTTiOo95PTk7ixIkTAICRkRE1RibsqlgkEsHly5dRLBZRLpfRbDZx5coVpFKpjf58okCHDh2C53mYnJxc0+du374NADh27NiqeR89egQAvitrRLuVbD+COmPXr1/HkSNHMDw8vNXFItpcokNAUijLskQqlRKVSkUAELOzs2qbruvC8zxRKpUEAFEqldS22dlZoeu6SiuVSkLXdWGapm//hmEI0zSFbduiVCoJ13WFZVnqM537XY1hGMIwDJFMJkUqler5c0TteomRRqMhLMsSAAQAYdu2aDQaq35O13Vh23ZP5bAsSxiG0VNeoq2yljakXSqVEgCE53m+dNk+yPgxTVO1A0S7TWd89KUTJsRyYMhOVDabVUFSKBR66izJBqszrT342q2nEybLYhhGTw0iUZC1xEg2mxWGYah6V6lUVswLQBQKhVX3K09kVtof0XZYTydMnshns9mubaZp+tIBsBNGu1ZnfPTtOWGnT59Wg9/n5+fVzK7vvvtuQ/sdGhpCJBLpRxExNjYGADhz5kzf9km0EsdxcObMGdi2jcePH2N0dDT0cSjz8/MwDEPV0zDlchnnzp3D9PQ0J5XQrtdsNjE6OgrXdbsmo6TTaUQika50+bnDhw9vVTGJNkXfOmFyDEsikcD9+/cDg6adHBMmn3tULBb7VRSiHefgwYP4+uuv0Wq1kMlkurZXq1UUi0W8//77K+6nWq3i6NGjyGazq8YY0U7XbDYRj8fhOA6mp6e7ticSCRSLRd/z8wCgWCzipZdewtLS0lYXmaiv+tYJi0QisG0bxWJRPZYiTCaTwdGjRzE+Po7FxUUIITjtmPa8wcFBmKbpm8AiyY7ZSgPym80mTp8+Dcdx2AGjPeHDDz8EAHz00UeB20Xb8/PkC1h+tEv7e6Ldqq/LFr3zzjsAgFOnTq2Y79y5c3Bdty8zXR4+fLjhfRD1m6ZpaDabXemtVgsvvviiL63ZbCKXy8F13RVvk7/77rsA4LtiUK/X+fRw2pUymQxyuRzy+byv3sdisW0sFdHW2lAnrFar4enTp+r92NgYhBC+KcZy+7Nnz1SaruvI5/OqkcpkMurf7Q1XrVZDrVYL/O4DBw4AAO7cuaMasbAn90vyCsRnn33W828kWq/jx4/7rnql02l4nofz58/78t2+fRutVgvj4+Oh+5IPqszn8770ubm5/haaaAvIxwRNT0/72ouFhYUVn4gf1E4Q7WqrjdwPI2d8IWRGixD/m+0lX3ImV6lUUp83TVMUCgU1PVnXdSGEELZtq8+FTcPPZrNC13Wh6/qqj5yoVCpC13XfIwOI1qOXGMlms8K2bV+dk3W9Uy+Pmmh/3EXni3WZdpJe4kMe74Nesg0I0t7usN7TbtQZH9rPiYqmabzPTrSCtcaIXAvv0qVLm1Ukoh2DbQhRuM746OuYMCIiIiLqDa+EEa0RY4QoHOODKByvhBERERHtAC8EJcoH4hFRMMYIUTjGB1FvAjthvJRMFI63W4jCMT6IwnWeoPB2JBEREdE2YCeMiIiIaBuwE0a0ydLptHpWGBERkcROGBEREdE2WHcnLBaLQdM0aJqGiYmJ0HwDAwMqX7VaXe/XrVs6nVbfH/TiYrG0WarVKhzHQSKRQCKRwMDAABzHQblcVnlWqpudC3M3m01MTEyo7Y7jbEtMEfVTuVxGPB7HwsLCqnmbzSZisRgXrac9Y92dsFqtBsMwoOt66MLZuVwOrVYLAFAoFDA4OLjer9sQXddRqVQghFCvVCoFALh69eq2lIn2tnK5jFdffRWjo6NIJpNIpVL4/PPPce/ePXzzzTe+vJ11s1QqAQBOnjzpyxePx/HgwQM0Gg14ngfP8zA6OsrFjGlXqtfriMfjGBkZQbFYxL59+1b9zPXr11dc4Jtot9nQ7chYLAbXddFqtQI7YvPz83BdFwB6CrC10jTNd1UhjOu6vg5gvV5HIpGAZVlwHKfv5SK6ceMGTNPE2bNnsX//fgDA8PAwbt26hZdfflnlsyyr6+Tkxo0b0HXdVzdzuRyWlpZw8+ZNRCIRRKNR/OlPf0Kr1cLc3NzW/CiiPqnX65iYmMD09DQKhUJPnymXy8jn87Asa5NLR7R1Njwm7I033oCu67h7964vvV6v4/79+3jrrbc2+hWBerl0DSwvmnzt2jVf2l/+8hcAwAcffND3chEBwJMnT9RV4HZjY2O+ztXi4qJve71eRz6fx+XLl33pd+/eha7rvg7b2NgYAOCzzz7rZ9GJNl00GsXi4iKi0WhPJ+jNZhMnT57E/Pz8FpSOaOtsuBP26NEjuK6LfD6Per2u0ufm5uC6bmiAlctlTExMqDFjsVjMN75FjjmLx+NoNptwHEe9n5ycxIkTJwAAIyMjaoxML1fFyuUyZmZmYNs2hoeHN/jriYIdOnQInudhcnJyTZ+7ffs2AODYsWO+9Hv37mFoaKgrv2maWFpaWn9BiXaB69ev48iRIzxm056z4U7YTz/9hD/+8Y8AgC+//FKlz8zM4NSpU4GfyWQyOHr0KMbHx/H48WOUSiU8fvwYp0+fVnnkmLNms4l3330X58+fV7c2r127hs8//xwAUCqV1FiaXgJUjgGbmppa3w8m6sHFixdhWRampqaQSCTw7bff9jR26+OPP4Zt24hGo770oKtqABCJRPpSXqKdSp44f/TRRwDAMZC0p/TlERWDg4MwTRM3b94EsDx+ZWhoCNFoFM+ePevKf/bsWTx+/Fh1moaHhzE0NNR1Rh+LxeB5Hj799FMMDw9jenq66/bNWiwsLKBYLCKZTHY1ckT9FIlEsLi4iGw2C8MwkM/n8dprr604m1FOZHnnnXe2sKREO9uFCxcwPT2tTjh45Zf2kr49J+z06dNYWlpCtVrF/Py8mtn13XffbWi/Q0NDfTvbf++996DrOi5evNiX/RGtxnEcnDlzBrZt4/HjxxgdHQ3tiM3Pz8MwDDXWi+h5l06nEYlEAidQNZtNHD58eBtKRdQ/feuEyTEsiUQC9+/fX3XWoRwTFo/HoWkaisViv4oSKJPJwPM8XL58mbdwaMsdPHgQX3/9NVqtFjKZTNf2arWKYrGI999/f8371nW9H0Uk2nESiQSKxaLv+XkAUCwW8dJLL/GqGO16feuERSIR2LaNYrGoxm6FaR8Ttri4CCHEpk47bjabuHLlCgzDwKVLl3zbOlc0J9os8rZ9+wQWSXbMOgfkS6ZpBp6oFIvFwAH7RHtB+/Pz5AtYfrRL+3ui3aqvyxbJsSxhA/Klc+fOwXXdvsx0efjw4ap55ubm0Gq1uh7M2utjLojWStO0wAHErVYLL774oi+t2Wwil8vBdd3Qq7R/+MMfAMA3A1je1ux8qCsREe0OG+qE1Wo1PH36VL0fGxuDEMI36F1ubx+gr+s68vm8aqQymYz6d3vDVavVUKvVAr/7wIEDAIA7d+6oRizogbHywaymafpukTabTXzyySdr/s1EvTp+/Ljvqlc6nYbneTh//rwv3+3bt9FqtTA+Ph66r1OnTkHXdVy4cAH1eh3NZhOnT5/uqtdEu408kf7iiy9WzRvUThDtaqJDQFIgwzAEAAFAZLPZwDzZbFblASAqlYoQQohSqaQ+b5qmKBQKIpVKCQBC13UhhBC2bavPGYYRun9d14Wu6yKVSgXmcV3XV4agF9Fa9FJnstmssG1b6Lqu6pms650sywqt4+0qlYqwLEvtz3Vd0Wg01vUbiDZLr8dUWe/bj8WGYQjLskI/057ftu1+FZloy3TGh/ZzoqJpGu+zE61grTGSTqcBoGs8ItFexDaEKFxnfPR1TBgRERER9YZXwojWiDFCFI7xQRSuMz5eCMtEROEYI0ThGB9EvenqhPEMhoiIiGhzzM3NqX8HXgkjIiIios0hn6f6/4R9D5iwZxlAAAAAAElFTkSuQmCC)
Find the unit rate of Mart X in $ per short.
Analyze the table below and answer the question that follow.
![](data:image/png;base64,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)
Find the unit rate of Mart X in $ per short.
John reads 50 books in 6 months. Wesley reads 30 books in 4 months. The unit rate in books per month for the fastest reader is ______________.
So from question we get unit rate per books for the fastest reader is 7.5 and we found it by comparing their rate of reading for each month.
John reads 50 books in 6 months. Wesley reads 30 books in 4 months. The unit rate in books per month for the fastest reader is ______________.
So from question we get unit rate per books for the fastest reader is 7.5 and we found it by comparing their rate of reading for each month.
Sophia earns $100 for 5 hours. The unit rate in earnings per hour is ____________.
In the solution we found the unit earning that is earning per hour by dividing total earning by total time.
Sophia earning per hour= $20
Sophia earns $100 for 5 hours. The unit rate in earnings per hour is ____________.
In the solution we found the unit earning that is earning per hour by dividing total earning by total time.
Sophia earning per hour= $20
Elon read 110 books in 11 months. The unit rate in books per month is _______________.
We found the unit rate of books read per month as by dividing total books read with total time and obatined it as 10.
Elon read 110 books in 11 months. The unit rate in books per month is _______________.
We found the unit rate of books read per month as by dividing total books read with total time and obatined it as 10.
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edWa7dJicnfR+7nz17FpcuXcLBgwd997e0tIQrV654tj399NNN6a5fvw4AePHFF51t4XAYhmGgWCz2ZKkIGjxs+PSxbDYL0zSdgp/P53udJWqjWq0C8DaA/vWvfwEAnn/+eU/aQ4cOAQD+85//7FLuiII7cuQILMvC9PT0pmkXFxexurra8Yr39+7dAwA888wzzrbl5WUAaFqO4ciRIwCAO3fudHQMIj8dz9xMuyefz2N1dRUA8Nprr6FYLKJSqXCNlj711VdfAQAuXLjgbGu1IOa+fft2JU9EW3H+/HncvHkTMzMzAADTNGHbNsLhsCedbdt466238M033wDobAHYL774Apqmee4gra+v+6bdv39/p6dA1BLv+PSpfD4PTdOcuwfy1u9f//rXXmaLWqhUKkgmk8jlcr6PvIj2knA4jKWlJeRyOWiahkKhgGPHjjmP36VPPvkEsVgMkUgEAHDz5s1A+89ms1hZWcHf//73Hc870WbY8OlTX3/9Nd5++23n77GxMWiahmvXrvUwV+THtm1MTEwgHo9z2gEaKLFYDO+88w5M08SDBw8wMTHhNH7K5TLm5ubw4Ycf+r43kUj4Dn0vl8s4c+YMZmdnefeaeoINnz5k2zYKhQLOnDnjzHmhKAosy8Lq6qrTl4R6z7ZtRKNRxGIxzM7Odvx+3sKnveDw4cNYXl5GvV5HNpsFAHz00Ueo1+s4cOCAU0cVi0UAG4tFzs3NNe2nUqng1VdfRS6X29KPhCeeeGJ7J0IENnz60ldffQVd1yE2phtwXrlcDsDjkQ/Ue++99x4AtPzVKzsx//DDD57t8u/GTs9E/WpsbAy6rjs/vJaWlprqKMMwAMD5Wz4CAzZ+JLz99tuIxWItGz2yE3PjnaLvvvvOyQPRdrHh04c+//xzvPHGG03bf/GLXwB4PPKBeiubzSKfz6NQKHg6fY6Ojjr/PnbsGFRVdSpu6datW9A0zfPFQNQvFEXxHTper9fx5JNPbmmfZ8+eBQDPndFqtYpoNOr8/corrwBo/qGwsrKCeDy+peMSNWLDp8/IoaHuIZ6S/HItFApNnQxpd9m2jcuXL2N2dtbTmXlxcRGWZTl/h8NhXLp0CcVi0XlEIBtLf/rTn3Y930RBTU1NeR6rZzIZWJaFc+fOtXyPbCw1NprK5TIKhQIKhYJn+5///GfP35FIBIZh4OrVq85dn0QiAcA7WpJoW7oxKyJtjZzJVL4aZ0iVU7wDcKZ0p50XJM7lkhV+L1VVfdOrqioACE3TOAs39UyQ+M7lcsI0TSdmAQhd19vGrZy12a8MyCUr/F6Ns5q7l6nAoxmbWddREEHbKMqjxIEoioIOkhPtSYxzGmSdxrdcULfTCQqJdlvQ2OajLiIiIhoavOND1IBxToOM8U2DKmhsd7xkhaIoW8oQ0V7COKdBxvimYdZxw4e/FGjQ8RcxDTLGNw2qoA169vEhIiKiocGGDxEREQ0NNnyIiKilTCbjDGknGgRs+BAREdHQYMOnz1QqFYRCIc+q7PI1OjqKRCLhu4YO9U65XEY0GsXi4qLv/9u2jUQi4bmusViMy45QX6tUKojFYkgmk0gmkwiFQojFYp4FRKvVKqanpzE+Ph44tm3bRjabdd7jXhZDymQyTnkZHx9vWbaItqQb00HT9liWJQCIdDrt2SancTcMo4e5G3xB49yyLM9U/KVSqSlNrVYTuq4LXdedafctyxK6rgtVVYVlWTuad6LNBInvUqkkAIj5+XmRSqVEOp0WpVJJqKrqqZfwaCkLGccyjaqqolarNe13bW1NaJomTNP0LS9CCJFKpZwledzLV7RKTyQFrbvZ8OlTjQ0fSa7XRd0T5POVjR7LssTCwkLLinl+fl4AaFrjaG1tzfliIdpNQeLbNE2h67oQYmOdOVkXLSwseNYQ9IvtVg2VtbU1oapq25iXP/rcaWq1Gn/wUSBBvxs7nseHemt0dNSz+jf1xsjICJaWlgAA9+/fb5nu4cOHAIB9+/Z5to+NjXn+n6ifrK+vo16vN22fnJz0/C185gNSVRUA8MQTT3i2v/766zh69ChOnz7d8rjXr18HALz44ovOtnA4DMMwUCwWYds2wuFw8BMh8sE+PnuIbdtYWVmBYRi9zgoFtH//fgDAvXv3PNtlH4hDhw7tep6INnPkyBFYloXp6emO3mfbNubm5mCaptO4B4B8Pg/LsvDuu++2ff/y8jIAeN4r8wMAd+7c6Sg/RH7Y8NkjKpUKzp49C03TkE6ne50dCuiXv/wldF3Hu+++63QKrVarePvttxGPx5t+QRP1g/Pnz8MwDMzMzCCZTOLWrVttB1XYto18Po9jx44hHo/js88+8/z/119/7dwJisVino7Q7v2ur6/77l/+gCDaCWz49LFkMulUEC+88AJWV1fxxz/+senXEPWvcDjsPBI7fvw4FEWBpmkAgA8//LCXWSNqScZtLpeDpmkoFAo4duyY72itcrmMAwcO4NSpUy33VygUUK/X8e2332JmZgZCCJRKJRQKBUxNTXXzVIiasOHTx9LpNMRGB3RYloV33nkHx48fRz6f73XWKCDbtjE1NQVVVWFZlnMtAeDZZ5/1HcpL1C9isRjeeecdmKaJBw8eYGJioqnxE4lEIIRArVbD7373O8zMzCAajTbdITIMA1euXMHIyIjzvng8jmKxyKkdaFex4bNHjIyM4OLFi9B1HadOneJcPnvEV199hWKxiM8//9yp8EdGRvD555+jXq/jD3/4Q49zSLS5w4cPY3l5GfV6Hdls1jdNOBzG6dOnkUqlsLq66nRUbufgwYMAgJ9//jlQPho7TBNtBRs+e4wc0cBOfnvDP/7xDwDNnTXl37zjQ3vF2NgYdF3fNGZfeeUVAMBPP/3U8TFkJ2b3JIkA8N133zl5INouNnz2GHmn56mnnupxTigIWZE3zjwrvzzkXSCifqIoiu9d5Xq9jieffBLARuPEb+bl27dvA/COWDRN0xmO7nbr1i0AwHPPPQfgcaPphx9+8KRbWVlBPB7fzikROdjw6UN+v6iq1SoymQxWV1cRj8f5hdlHZEX/7bffNv3fr371K6iqivfff9/px1CtVmGaJlRVxYULF3Y1r0RBTU1NeeqiTCYDy7Jw7tw5TzrTNJ105XIZly9fhq7rnhGLly9fBgC89957TuMnm82iUCggnU47d7IjkQgMw8DVq1eduz6JRAIAWFZo53RjVkTaOjm7KR4tg+B+6bruO5sz7aygcW4YhjOTtnxpmtY0w+za2powTdO5rqqqing8zuUqqCeCxHcul/PErKx/3LM012o1kcvlPMu2aJom0um073IVpVJJ6Lru2Z97Fmj3fuXsz3g0Y7Nc7oWonaB1t/IocSCKovjO1Ek0SBjnNMg6je9MJgMAuHjxYreyRLQjgsY2H3URERHR0OAdH6IGjHMaZIxvGlS840NERETUoOPV2RVF6UY+iPoK45wGGeObhlnHDR/eIqVBx0cBNMgY3zSogjbo+aiLiIiIhgYbPkRERDQ02PAhIqKWMpmMM5cP0SBgw4eoB2zbRigU6nU2iHqKjSrqBTZ8+pht28hkMhgdHYWiKFAUBePj46wo+ky5XEY0Gm1aiFSKRqPO9ZOvAwcO4OjRo7ucU6LgKpUKYrEYkskkkskkQqEQYrFY08rpbrFYzLeDqVzQtPGVTCbx0ksvNaXPZDIIhUJOndeqbBFtBRs+fcq2bUSjUfztb3/DF198ASEELMsCACSTyR7njoCNxUaj0SiOHz+OYrGIffv2tUxrGAaEEJ7X0tLSLuaWKLhyuYwXXngBExMTSKVSSKfT+Oabb3Dt2rWmldOlxcVFFAqFtvstlUpN5SASiXjSTE9P4+rVq1heXkatVsP4+DhOnjzZtsFF1Ak2fPrU2bNnsbq6ikKh4FQMIyMjm1YstDuq1SoSiQRmZ2exsLDQ6+wQ7ahPP/0Uuq7j9OnT2L9/P4CNldO//PJLPPPMM03pbdvGW2+9hXg8vq3jVqtVzMzM4OOPP8bY2BjC4TA+/PBDAMBHH320rX0TSR3P40PdV61WUSgUYJomRkZGPP83MjLCOTj6wMjIiHPH5v79+z3ODdHOWl9fR71eb9o+OTnpm/7s2bO4dOnSto97/fp1AMCLL77obAuHwzAMA8ViEbZtIxwOb/s4NNx4x6cPycI/MTHR45wQ0TA6cuQILMvC9PT0pmkXFxexurq6I6u3Ly8vAwDGxsaa8gMAd+7c2fYxiNjw6UMPHz4EADz//PM9zgntlLt37zqdnEOhEBKJBGzb7nW2iHydP38ehmFgZmYGyWQSt27d8o1X+Yjriy++APC47mrl008/bdtpeX193fd98nEb0U5gw6cPbVZ50N5y4sQJvPzyy/jLX/4CIQQ+/vhjzM3NYWpqqtdZI/IVDoextLSEXC4HTdNQKBRw7NgxVCoVT7pPPvkEsVjM6Yd48+ZN3/099dRT0HUd586dw4MHD5yBGuy0TL3APj59iL9uBkvjI4DTp0+jUqlgbm4OlUql6bY+Ub+IxWL46aefcOvWLVy7dg0TExNYXl7G2NgYyuUy5ubm8N///tf3vYlEAm+++SYikQhGRkZw48YN5//kQA1N0/Dpp582jewi6ibe8elj9+7d63UWqEsOHjwIAPj55597nBOizR0+fBjLy8uo1+vIZrMANkZZ1et1HDhwwJmXp1gsAthYLHJubq7tPuXAjVaPt/w88cQTWzwDosfY8OlDhw4dAgB8//33Pc4JEdGGsbEx6LqOarUKAFhaWmqak8cwDABoOUfPZmQn5sbHX999952TB6LtYsOnD01OTkJVVeTz+aYOhXIGVNob5MzbjX788UcAG30fiPqNoii+nZnr9TqefPLJLe0vn897tskGlHvKjldeeQUAmiZJXFlZ2fYcQUQSGz596ssvv0S9Xkc0GnUqiGq1it/85jc9zhk1un37NgDg22+/9f1/y7I8o7iy2Szm5uaQSqWa5mki6hdTU1NO3QNsNOIty8K5c+davkfGuF+jKZFIOHdyqtUqTNOEqqq4cOGCkyYSicAwDFy9etVJm0gkAMCTjmhbRAc6TE7bVCqVhGEYAoAAIFRVFYZhiPn5+V5nbaAFjXPDMISmac71ASA0TROGYThpLMsSqVRK6LrupNF1XeRyuW5ln6itIPGdy+WEaZpCVVVP3C4sLLR8Tzwe99RV7fanqqqIx+PCsqym/dRqNc++DMMQa2trnZ8oDZ2gdbfyKHEgiqJw1mAaeIxzGmSdxrdcFHknJigk6qagsc1HXURERDQ0eMeHqAHjnAYZ45sGVdDY7ngCQ44oomHAOKdBxvimYdZRw4e/EoiIiGgvYx8fIiIiGhps+BAREdHQYMOHiIiIhgYbPkRERDQ02PAhIiKiocGGDxEREQ0NNnyIiIhoaLDhQ0REREPj/wNbFMXndyMK5AAAAABJRU5ErkJggg==)
The unit rate of expensive brand is ____________.
In this question first we found unit cost priice of all the t shirts and then compared them to obtain the highest unit cost price that is $30 for T Shirt C.
![](data:image/png;base64,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)
The unit rate of expensive brand is ____________.
In this question first we found unit cost priice of all the t shirts and then compared them to obtain the highest unit cost price that is $30 for T Shirt C.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAj4AAABtCAYAAACht2vcAAAeVUlEQVR4nO3d32sbV/438Pc8fG+bdKRclVKCx70oDbgk46QU5cKB7agOFEq3jFL3bksTKWFhs9kokVtKaeNG2qULS2tb0IVedJG022VLWbtWAjVUouw6TrBgQy42I0oJudJEzvYPOM+FcyYz0kge2ZYlS+8XCOLJ0cwZzeccHc2cH4oQQoCIiIhoCPy/XmeAiIiIaLew4UNERERDgw0fIiIiGhps+BAREdHQYMOHiIiIhgYbPkRERDQ02PAhIiKiocGGDxEREQ2N/+sksaIo3coHERER0bYEmZO5o4ZP0J0S7WWKojDOaWAxvmlQBb05w0ddRERENDTY8CEiIqKhwYYPERERDQ02fIiIiGhoDETDR1GUQK+tmJ6edt5fLpfbpi2Xy1AUBZlMZkvHaieRSLQ8r2g0isXFxR0/5naMjo46eaPO5PN53+scCoUQi8VQqVSctN2MOdq6TuoN8pfP5zE+Pu58jqOjo0gkErBtu9dZG3juz30QDUTDBwBM00StVoMQAoZhwDAMCCFQq9VgmuaW93vlyhWkUqkdzOnWzM7OIh6PA9gYWSdfCwsLWFlZwcmTJ/uqgr179y40Tet1NvakWCyGXC4HACiVSs61np2dxbVr1zAxMYFqtdrjXFI7/VJv7FWJRAKJRAK//e1vnXr85ZdfxtzcHO7cudPr7A28GzduQNf1Xmejawam4XP58mWEw+Gm7eFwGDMzM9va9/79+wOli0QiEELg4sWLHe0/6K/CgwcPNm2bnJzE7OwsAOCHH37o6LjdNjo62uss7FlPP/1007ZYLIZ4PI56vY7r168D2HrMUfcFrTfIK5vNYm5uDrOzs4jFYgA26vHZ2dmu/Zjinblmft+ng6LjeXz60WZzUoyMjPTtvBU78YjK70uSBpP8Mn348GGPc0LUHb///e+hqqrT6HG7e/fujh+v37oJUPcNzB2f7ahUKojFYk19KfxkMhmEQiEoioLp6WnPPuR2d38Ld18X27ad40SjUUxPT+Ott94CABw/fnzLfQLknZ6XXnoJgLePSLlcRj6fd/Ih912tVjE9Pe1sD4VCyOfzzj7dfYps2/b87T7vVp9hNBr1raQymYxzTEVRMD4+zoqnA7LBc+jQoZYxB8C5ZvL/x8fHPX2D/NL49clyX6/R0VFPjACdlR13XFarVU9ZkuWjk3NoV7YauT+rxcVFT5kYHR1t+mw2Kx9+n0+rz9nv/EOhEOPeR6VSgWVZePnllwOnd8efX33SKs7lNQ5aB8s6cHx8HNVqddM6cXFx0ekrEwqF2n5fVCoVJ61ff71Oy065XPacs1+MByn/fucv97enH7eLDnSYvGcMwxCGYQRKW6vVhKqqwjRNUavVRK1WE6Zpes41nU4LAELTNFEqlYQQQqRSKQFA5HI5J51lWQKASKfTnmNomiZ0XRemaYpSqSTi8biTv1KpJAA4+21H5sOd91wuJ1RVbTpmLpcTAIRpmmJ+fl4sLCwIVVVFqVQSa2trAoCYn5938q3rugAgarWas494PC4AiHg8LizL8nw2a2trnvNWVVUYhuG8f35+XgDwXAeZf3mu8twb895r/RDnjXFRq9V8P9NWMafrutB13XPdVFX1XF93GiGa4yuVSjkx4/5/d542KzuNZLkxDKMpDhrLbJBzaFe2Gi0sLAgAQtd1T+xrmubZb9Dy0fj5NF6zxs9LiI26Sdd1z352Wz/Edyud1Alra2tCVVURj8ed+JN11sLCgpPOMAyhaVpTnLe6bu3oui40TROGYTTtz51nGWsyhvzOS5Zd0zRFPB4XpVJJ6Lre8tyDlp35+fmmuFRVVei63nQu7cq/YRhNsSK/D/pV0Nge+oaPDJxUKuVskwEpyYBwFyZZOTYGqd82wzCaKuzG43fS8Gl8pVKppn132qjwq6TlNlkw3PuVBVqIxw2kxjzICkKSBamxccWGTzP5ObtfslJs/Jwbr7Ns9Lobp43XzS+NmywD7ussj2Wapmef7cpOI7+yJMTjGJL5CXIOQrQvW4388us+VuO5+uVblo9Wn0+79ywsLPS80SNEf8R3K7LBEKROaFXvqKoqNE1z/pZlx839I7aTOtivDpP7U1XV87csJ+73utPIvAX9rgpadtrlW9qs/Pu9J5VK9XWjR4jgsT30j7oikQh0XcfMzAxisRgWFxdb9gnat2+f8++xsbGOjnP06NEd6ywmGkZ1Xbt2zfd2J/D48dd2jIyMNG1z9zHJ5/PQdb3p/Bo7N//6178GABw7dgyZTAbVahWzs7PsmNuGe1TXjRs3cPHixU3j6OuvvwbgjdFIJAIAWF5ebpnGTXaefv755z3bDcPAtWvXnH0GLTuN3GUJeNxx/+effw58DlKnZaux07HsI9dJv6lWn08r2WwW77//PpaWlga60+h2NcZFO63qnaNHj8KyLOfvVCqF1dVVjI+PI5/Pw7Zt3L1714mnrfCr6+r1OoDHj+sOHz7sSXPixAnU6/WmR04nTpzo6NiblZ0gNiv/bvKRWL1edwbS7HVD3/ABNobupdNprK6u4uTJk22f0/ebyclJfPDBB1hdXcUnn3wS+H3y+XY0GkUoFEIymdxyHur1eqDKfHJyEmtra9B1HclkEpqmcf6ZLlhfXwfQPL+V+//W19dhGEbLfchGgLvfg6IoKBaLTgUPdK/sBDmHbtqsfMjPJ8iX5/Hjx3HmzBnP50bt/fjjj5umCVrvXLlyBQsLCwCAU6dO4dlnn+1q/yrZAEkmk57YlTHUSQNlq2Qfn2g06pRbt83Kv9uBAwcwNzeHBw8edCOrPcGGzyMXL17E3bt3kcvlYFkWXn/99V5nKTD5C+DmzZuB0pfLZei6jmeeeQZLS0t48OAB0ul0N7PoGBsbQz6fh2VZME0TyWTSt9MobY+maZ47g/K1tLTkpFlZWdl0P5Zl+e7HrVtlJ8g5dEMn5SNII69UKqFUKuHBgweYmpra6ewOlOeeew4AnLuKmwk6meHk5CRu3LiBUqkETdNw8uTJrnfOzeVyvvG7nTtNQWSzWbz66qt48803sbS05Mxt1yhI+Qc2njDMz8+jUCgMzA/VoW/4ZDIZJBIJ5285V4r7VuluuH379pbf+7///Q+A/yMpPx999BE0TcPp06e3fEw3wzBQLBabKqHGgiVHJMi8fvbZZwCAn376aUfyQRtee+01WJbVtmKXt91bpZEVZbvKcSfLjvyFL7/4gpzDTrl37x6AjZFyQLDyIR8hB51MLxKJYHZ2FsVi0XcEEG0Ih8MwTROWZTWNrLJtG6FQyNlumiZWV1ebYuTu3bvO5HvlctnzyD0SieCDDz4AANy/f9/zvu3Uwe5jRiIRqKqK77//fsv760Rj2Tlz5gzi8XjbBtZm5b/R6dOnEY/HkUwmB2M0Yjc6DvWapmm+HdD8yA5jcnSWHOXh7nAme9O7O5XJzo3uzl5+22R+3J3t3Gq1mtPBTY7Sco8Uc5Od2Nxkh0lVVT0d1WTnNb99NY7MKpVKTkc29znK47k7N8vOh+4OovJY8rxrtZpIpVLOiBsJjzoZyuvi16G6H/RDnMvPdLNOnq3iUI7ikNfOsixhmqZzff1G4pVKJU+HTBlX7lFc6XTaufZByk4j+R73qBg5Wq2xk/Rm5yBE+7LVSHZibezY2jjiJWj5kCN8ZDqZP5lfv3rDbzTobuuH+G5HXvvG2JP1kd+IpsZRXY1p3HVT4+jATupgGQdyQEmrkWTyOrs7v+dyOd8RmUE7DActO7Jzt3uEbeOoxKDlv/F71O+7pp8Eje2Ba/jIRo+s4DYjL7aqqs773JWX/AIC4Lng7vQyuP22yUq0XX7kkHS/YemSLFyNLzmc2B2IcsSZfDUWYsuynAKsaZpIp9OeUURra2tOgZLHkPt1n6N7v+l02vk/mR/3MYTYqAxkYZLb242K6ZVex7k75jb7kvSLOSE2rpU79nRdbxoNsra25rkectoCSVbq8hgyVqTNyo4fd+Xdar9BzyFI2XKTMS4bLDK25XBoKUj5kJ+POw/uYcat6g13Oe7VCJlex3cQshHpji3DMJpGsMoffu4Ycf+QsixLxONxz/dCYxohgtXBQjxu+GxWtoTYiPV2ceY+tyCxELTslEol57gyb/K97lFl7cq/O07dZcv9Ofay8d5K0NhWHiUORFGUvp0BmWinMM67J5PJIJlMolQqdb2vQ6NyuYzjx48jnU4P9UhCxvfWRaNRFIvFnnx+vSw7e0XQ2B76Pj5EREQ0PNjwIaJdI4eByw75u0kek+uc0VbJARxBR5PtpF6WnUHDR11EDRjn3ZHP53Hq1CkAgKqqWF5e7ngi0K2qVCqYmJhw5tLJ5XIt1xQbdIzvrUkkEpibmwOwMdVCNxZMbaWXZWcvCRrbHTd8iIiIiPpRkCbN/3Vjp0R7GX8R0yBjfNOgCnpzhn18iIiIaGiw4UNERERDgw0fIiJqKZPJDMwaTUQAGz5EREQ0RNjw6XPVahWKogzt0Nt+ls/nEYvFEAqFoCgKRkdHW/4yXlxcxOjo6KbpiPpFpVJBLBZDMplEMplEKBRCLBZrWjzULRaL+XYwtW0b2WwW0WgUiqJAURSMj4+3XPAyk8k45apdOqIt6cY6GLRz3GtmBVl0lbYvSJzLtW/cixXK9Xsa186RC7vKtW3kNd1sAVKibggS33Jtsvn5eZFKpZz1ytqtZSXj3G//co2rxgVtgeZFilOplLO+md/Co0StBG2jsOHT5zRN813lmbonaMPHvaK3EI9XW25cnVzTNM+qx0I8XuWYjVnabUHi2zRNJ77T6bTT2FlYWPBdnLJWqzkLcbZq+LhXEBfi8UKu7oaULEPuBXfdq6cTtRO0jcJHXX2sUqkAAM6fPw8A+Oc//9nL7JDLxYsXcePGDc+2kZGRpnSVSgWWZWFiYsKz/Y033kC9Xse///3vruaTaCvW19edWa7dJicnfR+7nz17FpcuXcLBgwd997e0tIQrV654tj399NNN6a5fvw4AePHFF51t4XAYhmGgWCz2ZKkIGjxs+PSxbDYL0zSdgp/P53udJWqjWq0C8DaA/vWvfwEAnn/+eU/aQ4cOAQD+85//7FLuiII7cuQILMvC9PT0pmkXFxexurra8Yr39+7dAwA888wzzrbl5WUAaFqO4ciRIwCAO3fudHQMIj8dz9xMuyefz2N1dRUA8Nprr6FYLKJSqXCNlj711VdfAQAuXLjgbGu1IOa+fft2JU9EW3H+/HncvHkTMzMzAADTNGHbNsLhsCedbdt466238M033wDobAHYL774Apqmee4gra+v+6bdv39/p6dA1BLv+PSpfD4PTdOcuwfy1u9f//rXXmaLWqhUKkgmk8jlcr6PvIj2knA4jKWlJeRyOWiahkKhgGPHjjmP36VPPvkEsVgMkUgEAHDz5s1A+89ms1hZWcHf//73Hc870WbY8OlTX3/9Nd5++23n77GxMWiahmvXrvUwV+THtm1MTEwgHo9z2gEaKLFYDO+88w5M08SDBw8wMTHhNH7K5TLm5ubw4Ycf+r43kUj4Dn0vl8s4c+YMZmdnefeaeoINnz5k2zYKhQLOnDnjzHmhKAosy8Lq6qrTl4R6z7ZtRKNRxGIxzM7Odvx+3sKnveDw4cNYXl5GvV5HNpsFAHz00Ueo1+s4cOCAU0cVi0UAG4tFzs3NNe2nUqng1VdfRS6X29KPhCeeeGJ7J0IENnz60ldffQVd1yE2phtwXrlcDsDjkQ/Ue++99x4AtPzVKzsx//DDD57t8u/GTs9E/WpsbAy6rjs/vJaWlprqKMMwAMD5Wz4CAzZ+JLz99tuIxWItGz2yE3PjnaLvvvvOyQPRdrHh04c+//xzvPHGG03bf/GLXwB4PPKBeiubzSKfz6NQKHg6fY6Ojjr/PnbsGFRVdSpu6datW9A0zfPFQNQvFEXxHTper9fx5JNPbmmfZ8+eBQDPndFqtYpoNOr8/corrwBo/qGwsrKCeDy+peMSNWLDp8/IoaHuIZ6S/HItFApNnQxpd9m2jcuXL2N2dtbTmXlxcRGWZTl/h8NhXLp0CcVi0XlEIBtLf/rTn3Y930RBTU1NeR6rZzIZWJaFc+fOtXyPbCw1NprK5TIKhQIKhYJn+5///GfP35FIBIZh4OrVq85dn0QiAcA7WpJoW7oxKyJtjZzJVL4aZ0iVU7wDcKZ0p50XJM7lkhV+L1VVfdOrqioACE3TOAs39UyQ+M7lcsI0TSdmAQhd19vGrZy12a8MyCUr/F6Ns5q7l6nAoxmbWddREEHbKMqjxIEoioIOkhPtSYxzGmSdxrdcULfTCQqJdlvQ2OajLiIiIhoavOND1IBxToOM8U2DKmhsd7xkhaIoW8oQ0V7COKdBxvimYdZxw4e/FGjQ8RcxDTLGNw2qoA169vEhIiKiocGGDxEREQ0NNnyIiKilTCbjDGknGgRs+BAREdHQYMOnz1QqFYRCIc+q7PI1OjqKRCLhu4YO9U65XEY0GsXi4qLv/9u2jUQi4bmusViMy45QX6tUKojFYkgmk0gmkwiFQojFYp4FRKvVKqanpzE+Ph44tm3bRjabdd7jXhZDymQyTnkZHx9vWbaItqQb00HT9liWJQCIdDrt2SancTcMo4e5G3xB49yyLM9U/KVSqSlNrVYTuq4LXdedafctyxK6rgtVVYVlWTuad6LNBInvUqkkAIj5+XmRSqVEOp0WpVJJqKrqqZfwaCkLGccyjaqqolarNe13bW1NaJomTNP0LS9CCJFKpZwledzLV7RKTyQFrbvZ8OlTjQ0fSa7XRd0T5POVjR7LssTCwkLLinl+fl4AaFrjaG1tzfliIdpNQeLbNE2h67oQYmOdOVkXLSwseNYQ9IvtVg2VtbU1oapq25iXP/rcaWq1Gn/wUSBBvxs7nseHemt0dNSz+jf1xsjICJaWlgAA9+/fb5nu4cOHAIB9+/Z5to+NjXn+n6ifrK+vo16vN22fnJz0/C185gNSVRUA8MQTT3i2v/766zh69ChOnz7d8rjXr18HALz44ovOtnA4DMMwUCwWYds2wuFw8BMh8sE+PnuIbdtYWVmBYRi9zgoFtH//fgDAvXv3PNtlH4hDhw7tep6INnPkyBFYloXp6emO3mfbNubm5mCaptO4B4B8Pg/LsvDuu++2ff/y8jIAeN4r8wMAd+7c6Sg/RH7Y8NkjKpUKzp49C03TkE6ne50dCuiXv/wldF3Hu+++63QKrVarePvttxGPx5t+QRP1g/Pnz8MwDMzMzCCZTOLWrVttB1XYto18Po9jx44hHo/js88+8/z/119/7dwJisVino7Q7v2ur6/77l/+gCDaCWz49LFkMulUEC+88AJWV1fxxz/+senXEPWvcDjsPBI7fvw4FEWBpmkAgA8//LCXWSNqScZtLpeDpmkoFAo4duyY72itcrmMAwcO4NSpUy33VygUUK/X8e2332JmZgZCCJRKJRQKBUxNTXXzVIiasOHTx9LpNMRGB3RYloV33nkHx48fRz6f73XWKCDbtjE1NQVVVWFZlnMtAeDZZ5/1HcpL1C9isRjeeecdmKaJBw8eYGJioqnxE4lEIIRArVbD7373O8zMzCAajTbdITIMA1euXMHIyIjzvng8jmKxyKkdaFex4bNHjIyM4OLFi9B1HadOneJcPnvEV199hWKxiM8//9yp8EdGRvD555+jXq/jD3/4Q49zSLS5w4cPY3l5GfV6Hdls1jdNOBzG6dOnkUqlsLq66nRUbufgwYMAgJ9//jlQPho7TBNtBRs+e4wc0cBOfnvDP/7xDwDNnTXl37zjQ3vF2NgYdF3fNGZfeeUVAMBPP/3U8TFkJ2b3JIkA8N133zl5INouNnz2GHmn56mnnupxTigIWZE3zjwrvzzkXSCifqIoiu9d5Xq9jieffBLARuPEb+bl27dvA/COWDRN0xmO7nbr1i0AwHPPPQfgcaPphx9+8KRbWVlBPB7fzikROdjw6UN+v6iq1SoymQxWV1cRj8f5hdlHZEX/7bffNv3fr371K6iqivfff9/px1CtVmGaJlRVxYULF3Y1r0RBTU1NeeqiTCYDy7Jw7tw5TzrTNJ105XIZly9fhq7rnhGLly9fBgC89957TuMnm82iUCggnU47d7IjkQgMw8DVq1eduz6JRAIAWFZo53RjVkTaOjm7KR4tg+B+6bruO5sz7aygcW4YhjOTtnxpmtY0w+za2powTdO5rqqqing8zuUqqCeCxHcul/PErKx/3LM012o1kcvlPMu2aJom0um073IVpVJJ6Lru2Z97Fmj3fuXsz3g0Y7Nc7oWonaB1t/IocSCKovjO1Ek0SBjnNMg6je9MJgMAuHjxYreyRLQjgsY2H3URERHR0OAdH6IGjHMaZIxvGlS840NERETUoOPV2RVF6UY+iPoK45wGGeObhlnHDR/eIqVBx0cBNMgY3zSogjbo+aiLiIiIhgYbPkRERDQ02PAhIqKWMpmMM5cP0SBgw4eoB2zbRigU6nU2iHqKjSrqBTZ8+pht28hkMhgdHYWiKFAUBePj46wo+ky5XEY0Gm1aiFSKRqPO9ZOvAwcO4OjRo7ucU6LgKpUKYrEYkskkkskkQqEQYrFY08rpbrFYzLeDqVzQtPGVTCbx0ksvNaXPZDIIhUJOndeqbBFtBRs+fcq2bUSjUfztb3/DF198ASEELMsCACSTyR7njoCNxUaj0SiOHz+OYrGIffv2tUxrGAaEEJ7X0tLSLuaWKLhyuYwXXngBExMTSKVSSKfT+Oabb3Dt2rWmldOlxcVFFAqFtvstlUpN5SASiXjSTE9P4+rVq1heXkatVsP4+DhOnjzZtsFF1Ak2fPrU2bNnsbq6ikKh4FQMIyMjm1YstDuq1SoSiQRmZ2exsLDQ6+wQ7ahPP/0Uuq7j9OnT2L9/P4CNldO//PJLPPPMM03pbdvGW2+9hXg8vq3jVqtVzMzM4OOPP8bY2BjC4TA+/PBDAMBHH320rX0TSR3P40PdV61WUSgUYJomRkZGPP83MjLCOTj6wMjIiHPH5v79+z3ODdHOWl9fR71eb9o+OTnpm/7s2bO4dOnSto97/fp1AMCLL77obAuHwzAMA8ViEbZtIxwOb/s4NNx4x6cPycI/MTHR45wQ0TA6cuQILMvC9PT0pmkXFxexurq6I6u3Ly8vAwDGxsaa8gMAd+7c2fYxiNjw6UMPHz4EADz//PM9zgntlLt37zqdnEOhEBKJBGzb7nW2iHydP38ehmFgZmYGyWQSt27d8o1X+Yjriy++APC47mrl008/bdtpeX193fd98nEb0U5gw6cPbVZ50N5y4sQJvPzyy/jLX/4CIQQ+/vhjzM3NYWpqqtdZI/IVDoextLSEXC4HTdNQKBRw7NgxVCoVT7pPPvkEsVjM6Yd48+ZN3/099dRT0HUd586dw4MHD5yBGuy0TL3APj59iL9uBkvjI4DTp0+jUqlgbm4OlUql6bY+Ub+IxWL46aefcOvWLVy7dg0TExNYXl7G2NgYyuUy5ubm8N///tf3vYlEAm+++SYikQhGRkZw48YN5//kQA1N0/Dpp582jewi6ibe8elj9+7d63UWqEsOHjwIAPj55597nBOizR0+fBjLy8uo1+vIZrMANkZZ1et1HDhwwJmXp1gsAthYLHJubq7tPuXAjVaPt/w88cQTWzwDosfY8OlDhw4dAgB8//33Pc4JEdGGsbEx6LqOarUKAFhaWmqak8cwDABoOUfPZmQn5sbHX999952TB6LtYsOnD01OTkJVVeTz+aYOhXIGVNob5MzbjX788UcAG30fiPqNoii+nZnr9TqefPLJLe0vn897tskGlHvKjldeeQUAmiZJXFlZ2fYcQUQSGz596ssvv0S9Xkc0GnUqiGq1it/85jc9zhk1un37NgDg22+/9f1/y7I8o7iy2Szm5uaQSqWa5mki6hdTU1NO3QNsNOIty8K5c+davkfGuF+jKZFIOHdyqtUqTNOEqqq4cOGCkyYSicAwDFy9etVJm0gkAMCTjmhbRAc6TE7bVCqVhGEYAoAAIFRVFYZhiPn5+V5nbaAFjXPDMISmac71ASA0TROGYThpLMsSqVRK6LrupNF1XeRyuW5ln6itIPGdy+WEaZpCVVVP3C4sLLR8Tzwe99RV7fanqqqIx+PCsqym/dRqNc++DMMQa2trnZ8oDZ2gdbfyKHEgiqJw1mAaeIxzGmSdxrdcFHknJigk6qagsc1HXURERDQ0eMeHqAHjnAYZ45sGVdDY7ngCQ44oomHAOKdBxvimYdZRw4e/EoiIiGgvYx8fIiIiGhps+BAREdHQYMOHiIiIhgYbPkRERDQ02PAhIiKiocGGDxEREQ0NNnyIiIhoaLDhQ0REREPj/wNbFMXndyMK5AAAAABJRU5ErkJggg==)
The best unit rate of purchase among all the three brands is of ________________.
Firstly we found unit price of T shirt in all brands and then compared them to obtain best price.
![](data:image/png;base64,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)
The best unit rate of purchase among all the three brands is of ________________.
Firstly we found unit price of T shirt in all brands and then compared them to obtain best price.