Maths-
General
Easy
Question
Suppose that Y= 3 and Z= 16. Solve for the unknown value in the equation
Round to the nearest tenth if necessary.
Hint:
Substitute the given values and then find.
The correct answer is: x = 1679.5
Complete step by step solution:
Given formula = ![Y equals cube root of 2 x plus z end root minus 12](data:image/png;base64,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)
Given values are Y= 3 and Z= 16.
On substituting the values in the given formula, we get ![3 equals cube root of 2 x plus 16 end root minus 12](data:image/png;base64,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)
![not stretchy rightwards double arrow 3 equals left parenthesis 2 x plus 16 right parenthesis to the power of 1 third end exponent minus 12](data:image/png;base64,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)
![not stretchy rightwards double arrow 15 equals left parenthesis 2 x plus 16 right parenthesis to the power of 1 third end exponent](data:image/png;base64,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)
To make the power of the equation as 1, we have to raise the equation by 3
![not stretchy rightwards double arrow 15 cubed equals 2 x plus 16](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAHsAAAARCAYAAAD9qNNDAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAABGJhU0UAAAAQ3ZOC+gAAAjpJREFUeNrtmU9Eg2Ecxx8zk5lIMukQkyRJZJJJl5lJp0iSDjM6dEq6pVPGTjt1STolkUwmE+kw6TAm02miQ4euHZLMRP0efV9eef/t3bP3edfeLx/2vnu3ve/v//OMsc7QN2gQVSLBPHWFxogXzwzdIR/x5pnh/6ufOCBSnincp1FiD33WqBdroXftepvuNUZcEO+q2WCtg2ypKEqc4znqRIGYd+IGT4gNHecxg/N66iUy+E7RKhGrRAjH48Q9zrlBZrZkeL+AwFDsxQP2zulpWoSzFdUduu9h4tFhm9j9HA/Oisgb3EG0yHT2nOiHshFYaSKrcX4f78lw9qHoKrSLZU/MYWcr/Zob/hoZZ3ZtM/OAnmZRyrX0QIRVxykMj7Iyu0YM2t3AMCODZVCrzm5gmCgS26qeKVs9RNkgsJNEDq/jxK3kMl5Hr84Tn7BrRcSQeYwfPRX0YH5iGtNmDRsnMtVHXDLznbobTLpVLAuZAxXHKHF4tVmAPX0I1Cdis9XMzgrIbC0lMBm3Mvi0YtQIHD1i4be2kEGTLhjQeHUc0jg/Rby6oWfLnrb/ileUIyLYxLo8Z3MwEu3sokHyNexO46E2P9gE8SzB0WFsRvgtXBvBejYIe1QslPF2O5uX6hWdAC67YZ2dx8TrA0k4ekmCs68szgoDyCK1cxex6SHT2QG0v7QqYGewTxB3yslG/XIZA8QX+/1zg2dWVFIJt9LjAwhQrd54hmCVZUslEHkb+oBNS9iX8NRt+gFrBc54zADgxQAAALZ0RVh0TWF0aE1MADxtYXRoIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8xOTk4L01hdGgvTWF0aE1MIj48bW8gc3RyZXRjaHk9ImZhbHNlIj4mI3gyMUQyOzwvbW8+PG1zdXA+PG1uPjE1PC9tbj48bW4+MzwvbW4+PC9tc3VwPjxtbz49PC9tbz48bW4+MjwvbW4+PG1pPng8L21pPjxtbz4rPC9tbz48bW4+MTY8L21uPjwvbWF0aD7xHjphAAAAAElFTkSuQmCC)
![not stretchy rightwards double arrow 3375 equals 2 x plus 16](data:image/png;base64,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)
![not stretchy rightwards double arrow 2 x equals 3375 minus 16](data:image/png;base64,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)
⇒ 2x =3359
⇒ x = 1679.5
To make the power of the equation as 1, we have to raise the equation by 3
⇒ 2x =3359
⇒ x = 1679.5
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Maths-General
Maths-
Solve using the formula BSA = ![square root of fraction numerator H cross times M over denominator 3600 end fraction end root](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEUAAAAtCAYAAAD4KqYeAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAABGJhU0UAAAAc1CXO0QAAA+FJREFUeNrtWlFIVEEUHUREYpGiIsOPIiQkJIQKDYkUQyIkQggNgwxDQvzwI0rwoyKijz6SikIiJIKCEo0ICyRE/AghLDRC/Cj6KJEiycQWi+oOno3Z2Zl9d957fsR7Bw7s23vezO7duffOu7NC8JEg/okI2Sglvhcx0nCI+DR2Qzo6iDdjN6TjGvFU7IZ0DBP3O+gXiTk+bEGQJO7z0Ej7r7Dml0m2hKktJk74sAVBMSrHdY8K+iGs+fOJP4m5Dkn5vg9b0ELwmjiTRdMDTSjzVxAnHfRniWd82LpAV5s67hSx3BI2coWczzK/ExqJDx30D/DLudpsX97LIeq4F0EVq4jTxDLG/Gx0Ei876Kc9doxFHverTuA4JDVnEVbJlGa7qjhqijE/C3J/0s7Uyqy+YLHlovJwIB0xxHRIjjbujFIUKolvMHeOw/yeGCVWMbXyl3puse1GaQ/bKeXauD3IG6mw2WHRBcIcsZCpPULs9WELEj76uDKpjhG7tfzCnd8Tq4nfHfQyfluy2FodHMJNtPq4MkzmiW+1bQRnfhbKHMtxP/GAxfYoiy1ISTbNeVcJG85nc0IzJuDiKzZ7rrYg4I4b2vzniBfiR7/MZdgcuyEdLxzKcWTwAxUoBlDo8dQZSVQgfLIhUt17iRPEW1FeFaWG966ICPdl91ke6QfC6j38jw6Zg1PaNNsrbPMjB9lAqiO+I97Teh9zUS/HA3iqTGGzCHZMWk0cRFMnib6GfJRfa9HvEsutwnnoHxP3apoC4g20BcbQNykwjMXVeeI08ZtyXRWwISPvrSfmaU/czwzaVjhhq/KlmsRyc0uFbF4dVK7rhLmhxdV5YhPySqr/cFKszDHpvHa9jfiScd9h9EN0dKN55KpjQ56c1eC1PCZtD9khW0RmU7mH+WH7iLWWMO3zoWPjE/YmEvJIozEkZ2wgHkde0Zs80kkbmb2QPMP78r1ZHzo2RpU4nrRs6Fygb6c7DJokckk/kvISwqnJsIptWPKhY+MS8QteuxyTemENNoFjhooinTWOFZQ6hqjEqmpjftmkDx0bNRhUluPPK5BkE3CMnnhNh1OyUn1UrmctYZGvhQVX54TfWOZDK7Qf0n+tQWH/W8SSlkBNfwWpNSRajs4Jcq8yIkI6H9GwHWGhQoZIg0Fboq2qessTe69Wvbg6J4wjzjsDOmAEe4ZUnqjGDvmYoSpIbYuSw+RJ3oTI/APOMFZxLu7rwr3Cp46NO3BKXUCn7CE+Qbgk8UFtY67Hr7uAnDaC+00J+zbGW8QeJxFAx0YDnLJTxPiHdXBKInZF5hNzDA1HYxeYN1mRxV/64mzMZ0YkrwAAAJp0RVh0TWF0aE1MADxtYXRoIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8xOTk4L01hdGgvTWF0aE1MIj48bXNxcnQ+PG1mcmFjPjxtcm93PjxtaT5IPC9taT48bW8+JiN4RDc7PC9tbz48bWk+TTwvbWk+PC9tcm93Pjxtbj4zNjAwPC9tbj48L21mcmFjPjwvbXNxcnQ+PC9tYXRoPs8EXeEAAAAASUVORK5CYII=)
A sports medicine specialist determines that a hot-weather training strategy is appropriate for a165 cm tall individual whose BSA is less than 2.0. To the nearest hundredth, what can the mass of the individual be for the training strategy to be appropriate
Solve using the formula BSA = ![square root of fraction numerator H cross times M over denominator 3600 end fraction end root](data:image/png;base64,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)
A sports medicine specialist determines that a hot-weather training strategy is appropriate for a165 cm tall individual whose BSA is less than 2.0. To the nearest hundredth, what can the mass of the individual be for the training strategy to be appropriate
Maths-General
Maths-
Solve the radical equation
Check for extraneous solutions
Solve the radical equation
Check for extraneous solutions
Maths-General
Maths-
What are the solutions to the equation ![open parentheses x squared plus 5 x plus 5 close parentheses to the power of 5 over 2 end exponent equals 1](data:image/png;base64,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)
What are the solutions to the equation ![open parentheses x squared plus 5 x plus 5 close parentheses to the power of 5 over 2 end exponent equals 1](data:image/png;base64,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)
Maths-General
Maths-
Solve the radical equation
. Identify any extraneous solutions
Solve the radical equation
. Identify any extraneous solutions
Maths-General
Maths-
Solve the radical equation
. Identify any extraneous solutions
Solve the radical equation
. Identify any extraneous solutions
Maths-General
Maths-
Does a linear , quadratic , or exponential function best model the data ? Explain.
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)
Does a linear , quadratic , or exponential function best model the data ? Explain.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAOMAAAD6CAYAAABTV/AfAAAgAElEQVR4nO3dd3xUVf7/8dedmplJIwlJCAktQEhogdBr6FWMCgtiYxEbumsvX3VXXXvFggXWiggWUJGiICAgvfdO6IQQIH363PP7IwEBM7C/XZJp5/l4zOMBMzfJZ+6d95xz2zmKEEIgSZLPaXxdgCRJFWQYJclPyDBKkp+QYZQkPyHDKEl+osowygOsklQ9LpctXVVPKorC6tWrOX78eLUVJVUfo9GIy+VCVVVflyJdoEGDBmRlZXl9XfF2nrFLly6sWrUKjUYjW8oAoijK+RAqiuLjaiT4Y5sMHjyYuXPnel2uypYRwGq18vDDDzNs2DBsNlu1FCldfWazmWuuuYYnn3yS9u3b43Q6fV1SyDObzXz55Zfs27fvsst5DSNUNKutW7emvLz8qhYnVZ+IiAiMRiOpqam0bt0au93u65JCXkREBEuWLGHv3r2XXc5rGBVFwW63U1paitVqveoFStVHCIHNZqOsrEyG0U84HI4r7jbIUxuS5CdkGCXJT8gwSpKfkGGUJD8hwyhJfkKGUZL8xGXPMwYFXRiRZkPFv102yuwu1PMXFAnQhmEKM2DQafC4HDjsNpyqgrx2pQYJ0OgNGMNM6DUqqurCUW7DJS7YChoDZosRraKgqE6sVgduNbiuDAvuMAoVcWY/K7YUoxECtVYDMpIs6DQKQgCKDspPsH9/AadL7Jii4olPSiHG6CHItrNfU7QCW+FxDh87TqHbgNEUTVJqCpGKh3ObQXGeYveOE5R5PDj1sTRsEE9kmB4liC7VDN5uqqKgqC7c6z9g5Ijh3HDDDQx/awn5JS60mopvXI3BjHPHDN554mb+8peR/O3VL1hxKoKw4P6K8jMadEaVU9tm8d5dIxkx/EbG/e19lpUY0Z5vGAWaUz/z/M038pcbhjPy71+y+kQpQqcJqh5M8IZRAFotSqsWZHnUim/YX1/hq81WCh06tIoWY8RRNi7awp7NpUA96jZtR1Z9J063b0sPLSpudxj16qWR1b4OYOfU6S1MW3SAcEPlx1PoKNq5iu02Oy4gNbsHDWrVQq+qBE+7GMxhRCAULdr4ztwxoDGggKOA2fO3cKLcDgYT6qG1rNy1jwOALr0d7Tt2pl6YA08wbeEAINxgqtuMlj17kaIA5fns/WUR2216FEWg6I+zauY2SgVgTGNonzSSo/QE275EEIcREBoUNZWB4wdTN6KiQ5O/5Ce2nyzBbVA5sXgFm48cxwW0aJ1B+xYpaO2eoPq2DQjCjdOcQGLTtgxsDHjKULcsYv4xgQ6B8/TvzF58AlUF0m+gU6qJcEPw7dcHdxgRoHiwNRvC2HQtJi1wZg4LNxRT7NrHygU7OXbMA1HdyWidRas6VhweX9ccigSq20BUVF2atE4AVBwilw2bT4Hq4cTsH1iiVfAADdqnk2gwovWIoPvSDPIwAigIbTLDhnVD1VYcmVnx4SwWfTeVeQV5HAfiMluR2aolkW4n8t5431DdHoxJyTTt0YsmgKu0nB1TF7Az7CzbVu3AJQSQyZCBDYmK0KEG0VHUc0IgjIDHSJ2eQ+kcX/GGHafm8/20BWw6WgCGunTp2p5ODcyoruDbwAFDuMEYR92mXeldF1CtFO6Zw4aduazbZkdRwdh0CD0bRmPWQRBmMUTCiAdbve7c3C2FeCPAAdZvPEbhGaDDcLp3bk2zCCsO2Sz6kMDjMhEZ14yuI1oAHlRlAytnLGfDKVAx0ubWHjTW69F5guso6jkhEkZQHbXofc/tZEZFoj//bDx9O7aieaMYyh2eoDpnFYiEx40uJob6PQbRA3DZ3Sz68gsOoAD9uL5fAvowJegO3JwTMmFECcNxfA+HPE5c5588hcPjwaOa0Abld22gUVGJJCahAwN7RIAAt8uFqggShg6jY7gRAwTtlgqZMOqM+az7YS15ZY6Lnt+zdCM79xzHFqaXLaPPCVS3FmNUCm2u7048AAqKaESvka2J12jQBGuzSMiEUUEtW8WcuYexOwSKJYbYSBMGHZzatIAlqzZyVOjQyzT6nnCjMVuIb9eH7gBowNiTgR2iQKsE9dHu0AijoqFg3vcsxo0DSMx5gdfuG0hmihHIZcO2rWzbacOgD43V4e+EqkMhhoRGAAqk1yHOLVCCtoNaIQQ+fQK9+RCLPt9Cid0NNCQ7O4O2owfRoVY8ZuDUss1s3bif0xYDmuDe3gFDUbRo9QAK6LWh8EEN9veogKLl1LqpzNl+FrcKkU1G0Dsthqh6HeiSmUqKEbBvYfO2rew5g7xjw18IgVABBKjBd7VNVYI8jALhLGb1vz9nrQZUoPd919IqJhzlbAKZg9qQ2jQKKGL3zvWsXVuAR6uVB3IknwjiMCoowg35PzNzMRVJTLmVga3CiAjz4HLaCe/ck85JDUgEbFuWs/yXhWy0mZC7jpIvBO/HTlHwuBxsmjmB3+0V56YaDbiGprUs6BEI4cKjzaBL9zSSIwFOsXHrWjbsL8OgC97VEhAUEMKNvRTAjSh1BPVR1HOCeA9JgKJBicyg70ALittNl0HpxBl0oFbcmuGyhpPSuTdDbnFh2nqK6GbNiNe48Aijj2sPbUJV0IXF02JgL/rlmdA2akKkogTv2f5KwRtGIdDozbS7axpdtBVPeZx2XJ4/7oMT7lKo148xjw5mnFZBeNy4XE6sLlXuN/qMQKgKxqhmDHvuC65XANWF3eEO9iwGcRgBEKguB47KYTSEuPSonALCg8ul4nZVLC9UZBD9gRC4nQ4q+jChcTQ1yMMIQqiXv91GiCpCKvmeQITIKY1z5JEKSfITMoyS5CdkGCXJT3jdZxRCYDabiY6ORq/Xe1tM8jMRERFoNBosFgtRUVEYjfI0ja9FRERgMpkQVxgrxGsYDQYDa9aswWQy4XA4vC0m+RmTyYTdbmf58uWcPXsWl8t15R+SqpXJZGLjxo0YDIbLLqcIL3Ht1asXS5YsQaORPdlAo6qq3G5+RlVVcnJy+OGHH7wu47VlLCoq4uWXX2bEiBFYrdZqKVC6+sLDw+nYsSOvvvoq3bp1w263+7qkkBceHs6kSZNYs2bNZZfzGka3202zZs1ITU296sVJ1Uuv19OyZUuaNGni61KkSk2aNGHFihWXXcZrX0ZRFNkiBighBOXl5b4uQ7qAzWZDUS5/bZfcsZAkPyHDKEl+QoZRkvyEDKMk+QkZRknyEzKMkuQnZBglyU8E/c3F3rkpyj/FqTOF2FxuFAyYI2OonRRHlFHr6+IkqJiEsTyPA4fOYkMQltCYhrEmtEHahATp27qywpIDTH31OYZ060FmZiatM3uSM+YVZmw+Qqmvi5MqeKw4F/+DUW3a0LZ1a0Z9vJsie/COExeSYbQuf4P7bxzB4xPmkBfZgDZ9mhEZcZYdy97n6eff5JUlZ4CgH4zM76kinzlffM16txuXKrA6g3OS1HNCsptq27+QDacFTa8dRc6QDrSoDwXbf+PrSV+xdO6PLGjSm4ezryfG14WGMo+dgnVf8+EiJ+27tWDd8u0YtME9VFhIhlEb05S+d43hmhEj6RtRuYH7d6aR6zQ7nphJwbqFLC68nuG1fFtnKPOUH2fDZ5NZ6OnHN2NTGb1ie1C3ihCiYYwa/DqvoUV30TdtIsmNGtMhHFba8sg/Ccgw+oidspLlTP/4BJpx73J9/Bw0wd0oAiG6z6jojBh1Oi7u9ejRGbQYdBBmjKe27KP6jLv0FKs/fJ6fGcQL/9cDXYjM0xeSYayaHUdZOSVFGsLN9amT4Ot6QpWg7MhqZkw/gNL/VsY2ikZVCYmjaTKM5+WRd/gwB6lNZHxDUnxdTqhyHOHA6h+Zl9eYofcPIIHQGcNHhvGc3WtYvXIRB6Pqk9CtNQ18XU9IEpzJXcM378+hvNdj/HNwOOcnRgkBQXgAx4NTFHJobyGa8zuFAlXE0bRRNJfsKCIAhXyWLZjLF3PdxPUcxO03p9d41aFOAIqngFPrf2LqPujz0GgannshRARfGD0lnN30Hc++vRqT8dzbE7hd2Tz+/kiaRRj/6A4IUBQoWfsjUycv5Ji2E/fd+hcGRSrnUirVEAVwHlzLgm83UtDuNh4aZql4QWtAY9CAAhqtHqMxeDtzwRdGRzmlm5fyzXeziTCdG3xZ4HIYGDzhBlIxcn5YXwVgMzPe+ZjZO0ro8uAYxozNwHwupVINOsn2NbP5bE4R6a+Oo2u4lZISD4rqxFPoAgEOazGnC4rQx0Rh0CtBd7oj+MJoSqLRTZM4MezdSxq2MCJrmTk/jGxly7flowl88t16lD4PMPbOW2kJyCax5qlHdrNh0c9s1bjpv/I7/vFPNy43oKqILbmoAnYt/ZbXS2eSkf00N/aNJTbc11VfXcEXRkWD1hRFgsn7IqKy4Tv680u89soUDrUYxJ0PP8K1aSD7p76h2ssoOZ2HUN0smTOR3xe6/thftCkV8zSu/oKPV5TQ3Hg9A7p3l2EMBooCpbnzmPLmGyx3xdFv/LPcNagukRWv+ri60KSJrker/rcziHyMWg8eD1RsCxUKtjBndTlRqa1pnxJGo2ZmTAaVYDsZEJJhhKPM/dcDvLOokOQHJnDn0JbUcdkod1benqNo0OoNhOnlfY01RRPfin73fUS/+6p4cdF4DP0/pMGYScx6PJ3LdHoCWkiGcfekMbw9fx8F9XvRqvgEP3/wEr8IUXFKS/XgMseT1rE/Y/s193WpEh5wVswDL9wObHYwhfm4pGoSgmF0sm/VRrafBNjAiu+3s1lx4PRU7qCoTuwRLehhy+CWfs2Rk+H5mMeD6ijDpUKR1YnHE3zd03NCMIw2YlqP5C/XHyHfpqJ6VDwXnlhWXTjNqaQnx+AAGUZfUzQoyV3IGVZKSqtYjLrg3acPwTBG0fXBj+j6oK/rkP4jGh1Ku/v4YVZVO5PBJTjbe0kKQDKMkuQnZBglyU/IMEqSn5BhlCQ/4TWMQgjCw4Ps4r8QodFo5LbzM2azGSEuf3Om11MbBoOBFStWEBsbi81mu+rFSdXDYrFgs9lYsmQJVqsVh8Ph65JCntlsZt26dRgMhssvKLzIzs4WVFw3Lx/yIR9X4ZGTk+MtbkIIIby2jMXFxTz33HMMHz4cq9XqbTHJz1gsFnr06MELL7xAly5dZMvoBywWCx9//DGbNm267HJew+hyuWjdujUZGRlXvTipehmNRrKysmjZsqWvS5EqNW/enLVr1152Ga8HcBRFoby8/KoXJVU/VVXltvMzVqsV5QpDuchTG5LkJ2QYJclPyDBKkp+QYZQkPyHDKEl+QoZRkvxEyIdR/OmJPz0jVSO5/v8QgsNuXEzBia3wJCdPe9BH1SYhPlyOe1ODFNw4S09xMt+GaoojqW4UVV3BqaoOCvMKOFtWjkcIFIyEx8QSGxdBWJCM8x/yLSPOzSyZPIqBbYdw9ytLOOHrekKN5wBbZ97DiG49GT7+ew54WexE3gbeGH8XHbOyaNmqBenpA7nruWmsyi/BWaMFV5+QDOP5nlDuDF6++17ueHUVe8vsOByuimHkpWp1fv2fWsbnT9zFiMd/Ym2+A7vN+af1Lzwujn3/AKNy/srbP21DbZxB244JCPYy77N/cvvLM1l6sOKuokDv4IZkN1VRVE5u+Jk5H/yTyetANcdTq1CPTq8JzW+nGqYocGbP7/w66SneXXSYs8ZGpGBDr9f+eXIF1UPJ9p9YVRpP/1tupOfA5jSJKGRru1l8+cE8Dn46nUXdOtCjYYs/ZhcLUCEZRshn0RsP8K+Z+4l+6CPuFYuZ/+5qnLJZrCGFrP30WV58bzllN/+Th9Kc5L75IWurWv+Kgim5DcP/8TBv3NTl/PTuN1yTgWf7Pl5ZuJANW3ex89oWtAnwNIZmQ1CynIUro8n+5zy+feV2spNVih2B3skJIPb1rFqlknrzR0z7+DlGN1MptIsqpxxSdEbq3zyFz0Z0oO5Fr7Sgc4tY6gEnTxdTXFQjlVer0GwZwzpx7+QJhGW0oxk6NmlC+oh6zdO1ZOSLL5ETl0YbLRzWUjHPiRcagwXzn54NwxymoAWiI8MJt1RfuTUlJMMoDCm0G3Cuw2PHJbunNUggdIk0755Y+X8Xdvd/MxFfGSUFDmwkEB8XQ3QQDPkTkt1U5dL/BcdpqgCh/Gn9/3cztu9j/75CTtOIxIQ4Yq5Kbb4VkmGUAp/rt5n8fOQgjrRM0hvVDYowBmE31YOLIg7vK0S54MoMIWJp3DAKtLIZDGQCUNjNJ5/MZ8mhOnR6pj/d2yf4uqyrIvjC6Cnl7NbvefG9tYQZz709gdvVg0feHk6TcIPsDgQwBQfHZ3zMJ9/uJTLlbu7J6UZGGOdSGtCCL4z2MkrWLeDzz2dhNv1xlanL4aHPK9fSINwQ8CeHQ9sS3rl/MttcdRk34S4GZMZVXEsc4EGEYAyjuQ4Nb/qIo4PfvvjAgDBTK8Zc5UXIUqAoZ974B/n8RCktH/mav/bIIDg6qBWCL4yKFp0lluQgOO8kXcjDpg/G8/wnu4i47ikeuq0PrWr7uqarS+4+oUev1aBRQKPVydunapwOvU6LRgFFo/XSc/GQt+4zPnp9CvsatWHsQ88yqoUx6LZV8LWM/xGB6nThUsEYZqfM5sYjBG6njVLA43Dg0erR6zTBsCvihwSqy4XbA/owF2VWJy4VPG5Hxfq3O3BrdRj0WhQELutmpt57B5MPwYgpExmX6UZ1enCdu2xH0aDT69BpArttCdEwFrF36nQW5OZRFGEid3Yux7Ci2/gTb72ykySlFokd+zMyO41avi41KJVxZO4sfl2zi+NRFvJXbma31UXhoYW880oBqWoY5tb9uHVIJrVdTla+eA2vbwUyRxG+aR4f5S4AKi9hVF3YaqWTM6gvnZslXvav+rsQDeNJVn83hUm/beNouBnHmdMVN6iu+Y4p+3To3A1oPSyabBnGanKG7b/O4ONJP7MjKgL1bCE2VNg3m+mv/4rJE0NCGwO9hmQS5znO1gV5FDiAXb8z++hCVNX9x7WsbivFSTcQ0bCtDGNg0hOe2pSmhRqijXoMej06nQZcLtxuJw57Ak2iLaG6cmqAjrCUBqRmtkFrMWLU6tAZtChuNy6XC5c7gri4CIyAolFJ7NiPgbEKqsuBwy0uvonYY6c8thExkWbcBPYHOpBr/x80ZvjEKQz3dRkhK5m+T7xN3yf+g0UNjRkxcQEjqr0m3wvsPV5JCiIyjJLkJ2QYJclPyDBKkp+QYZQkP+E1jEIILBZ5gWcg0mg0hIcHwTgUQcRsNiOuMNCS11Mber2e9evXk5ycjM1mu+rFSdXDYrFgt9tZuXIlqqricDh8XVLIs1gsbN68Gb3+ClfTCi+ys7MFFbdsyod8yMdVeOTk5HiLmxBCCK8tY3FxMU8//TQ5OTmyZQwgFouFfv368cwzz9CpUyfZMvoBi8XCZ599xvbt2y+7nNcwulwu2rVrR1ZW1lUvTqpeYWFhdOnSRW47P7Jp0yY2bdp02WW8HsBRFIXy8vKrXpRU/VRVpayszNdlSBewWq0oVxiTUp7akCQ/IcMoSX5ChlGS/IQMoyT5CRlGSfITMoyS5CdkGKUgcclwHAEohIbdELiKCjhbbMXmEagIDAYzUTFxhJt1ckjGGqdiLSmmqKgUu9sNaDEYLUTFRRNh9PaxFLiKCzhbVI7VI1CFAL0eU1RtYsJNhGlrsv6rL4RaxtNsfe9v3N2xLW2bNyctI41B/f/K5z/vo0j1dW2hx+rKZ84nE7ihR0/S0tPIaNaJvjlP8cXKXEq8/tRZtn94P+M7taFNs3TS05rRtF9vbpy8gvUFNVh8NQmRlrGM5S+M4ZkP57HYaqFJ0yaknS5g466lPHf/AxS5X+aOkW0J7IH+Asippbz/6lu8NnE9peYo6rdrROmeXPas/5zXX7ayw/4qHw5KuuSHDvL1zeN5a9Z2TtTtTM7QJiREF7N572r2HVxJ7ql2dEuM9snbuVqCP4wCbAe+56PJ81jsbMug+4ZyQ8s04opKWbxsCu9/vYD3ZvYls3tbrrl0+0vVY/8iVu/YjyYzm3HDetK2pQnbvlXM/Pxrfvt1Hj/VGcmEQUmEnf+Bcg4unsj7X/1Cfqf7GHHbMG7tkUpidBk7Ny9jdUk8jSIDfy74oA+jUO3kfvMmXx0F7vgXU58dQkzlhA7X3hBL0an9TFm9jlXrD3PNsPo+rTVUlJZ6SBvyV4Zccw9jG5y7gX0Q3eu4GHzTFMTaDaxnKN0AEAjXfr5+6C2WGzry+uTXeahl2Pn9qzpJrehT+W9BYM8MF+T7jAIhjrJiyS4UGvLgjR3QX/j1E9+Xm7o3p/HRHezdmstJn9UZWsJ7PclT4+5ldD3zBc9GU6t+K3rFOSl37edEUeXTwoNyfBW/7IL0+19hVAPvk90GchAh6MOoIpRj5G50IZL70Ss9grCL3nE09ZKjiQ87xOmCfE77qsyQIlAMFiwmE2GaC+Ojw2CJINYIbnspZc7Kp1WV/LVL2OqsQ8/+7UmOCN6PbJB3UwWi+Cj7zwJZ7UmL0PxpGrGY+EQia1s5VpjPmWIgygdlhhRv7VcZpYd3sbIEjFltaBVR8axQBUe3raaIVqTXzmP90qMcOHoMq8sNSgz1M1rQuk1DYvWBH9LgDqNQEXknyVWApFhiq/ggRMfWIyIKCovPUCjDWHOEB9Wj4kFUTHB7ZC2rFsxnHc3pNvJG2pkqFlOFk+NHD6OhB2c2f8XkL5cyfcVqyhw2EFFkDr6Tv/1rPDlZDYjx7Tv6nwV3GAEUpSKCQlDV4Fyi8nlFUbjCvZ/S1VScy9EjpzjusOI8sopZU2bw9uJ86o24nxfublq5UMU+/5EDoChf89LtLtIGPchf37yFNrFn2PTFG3y76HVud+pwvvgId3cI7DgGfxip7BgJqr5cSlS8IHNYs9Tc3/hkwqdM21CI0Z7PvoPFoE+hTcv2NAL+GMfJhdMJQmTR78HRjBnai9bN6hBvctIzoy6xTz7IC/NXsnnrUZwdYrzMfBwYgj+MQqACaBQ0VSRO0WhQlMoWsqZrC2FuQxTm6NrE1TIRbqlHUoN8bGVuSlYu46d6dRh1QwtiK7eIooBKW65/9G+MjP/jd8S0vJHh/acxa85S9u7Zx15a08JH7+dqCP4warUVB23cHjxVpE31uFHVioF/tYF/DCBACAwtRvLEeyM5Pyuc/Tdmv/kK459+gcfXbiesyw/cXkcBtGi1AGVEGu04Cbuo9TNFmQiPK+XgkQMcPgYtkmv6vVw9wf3xUzQo9eqRLoCDRznuUf/U+p0pOEBxMcTFJBIX2LscAaSKLkpYNkNv+wfv3N+O8pObmPjNDkBBUeqR0ggUdnHkWBVfqEpFy+l1NySABHcY0aAY61K/HrD9OKd0cP6iKQFg58DmE5w4EUtsTDy1TD4rNGR4H+FeQaldn8aN4sBZxIlN+ygHNIqR5Ib1UNjN8VN6xCUX9ZcX2bEXQVREBJER1Vx8NQv+MIoUMjpEQMl6Vu+3/vGSArCatRsPsItUEpOTkJemVj9FcXNq1w4O5Z7EeemL9pOcOJoLaMDtwQ0oGkhJTkOllHWrDlB+UaOay5bdeex1JZCSkkzdAD8tFeRhBEWTRKe+7TErS5k2fQtHzzgq9hOBwjmzWbj3AKJVa9JbNSLS18WGhDJWv/8Sn0ycyvrcYlDduFweVKzkH1jJ6tV7wRxDdPOGFad8FQ2J9Rtj0cPKqV+x+UQhdtWDWwCbfuLblfsoiu5Mi5ZNaeDjd/a/CvoDOIpGIXn0GIbevZjvJgyn2+5x3NimNkkFPzJrwXKW7W9E/39cQ06v+Cv/Mukq0KLXHWLOp9N4c8pMhmR3oHO3epzctp01s75i+Rmw1B3Gy4+2rVhco4Wut/D3Jh/y8s63GdVlE2Nvak+d0tPMXjSTJbtLaD/+Gob2aUaA31sc/GEEDdqIfjz4zN14fpjKzFmTeX+pjsiiAk7HNKX/X//G47d0owkE/mX/AcFM5s13MsqmY/KsVcyeu45ly2IpsZbjCEukw4hbGT18FP3OX7eoQQlvzZgXn6b4pff5bN08/j1xFYayQs7ENqPz8Ht44LaBZAb2rYxASIQRIJFOTzzE/Q1q4Zy2nPxiKx5PL3p078uD//cXusRHUXkZjq8LDXpCaKnT7jbujkmhdtrn/LhsFycOgyYxlpTuA7l16GiuaRWP5qLtYaZpzlM8dNaNJWYVq4vslLud9Ol9K6PH3s2AZmEYEAiUgP4uDZEwAmFN6D7mJbqP8fK6DGKNOLeaoxr1ZuxDvRn70BUWPC+M1LEv89pYr785oIMIIXAAR5IChQyjJPkJGUZJ8hMyjJLkJ2QYJclPeA2jEAKLxeLtZcmPaTQaue38jNlsRni/MBe4zKkNvV7Pli1baNKkCVar1dtikp+xWCw4HA42bNiA0WjE4XD4uqSQZ7FY2LFjB3r9pSMwXUJ4kZ2dfe5Wa/mQD/m4Co+cnBxvcRNCCOG1ZSwpKeGxxx5j2LBh2Gw2b4tJfsZisTB06FCefPJJOnToIFtGP2A2m/nyyy/Zu3fvZZfzGkan00nXrl3p2rXrVS9Oql4mk4ns7GyysrJ8XYpUaffu3Wzfvv2yy3g9gKMoCmVlZVe9KKn6qaoqt52fsVqtKFe45FKe2pAkPyHDKEl+QoZRkvyEDKMk+QkZRknyEzKMkuQnZBiFrwsIHX9a1XLdXyR0ht04z055UREl5TossdGEh+nkN1INUXBgLS6iuEyDqVY0kWZ91eteuLAXFVJideGqfMpoDCeiVhTGPw0B58FlK6e8tBybs2KsVa1Wj8kcgTncXMXy/iv0Pofli/jyqW5kNR3LhCUHKPZ1PaHEvpyZL/ahc7PRPP/9ds56Wcxdspn5D13HtWnpNMvIoHmLltx887MsO1xFY2o/zvafXuXJYV3pktqYRk0a07FjPx55ZjrLcwPrBofQahk3vMP45//NT0sOkGdNoMxeMSYgPuEAABJkSURBVJixVAO2/ZtHX/qAb+fv4EiZgVKb84+pFi5gO72B758YxwsztrJbX4vMeimoBw8yf/4U8seoPPPFqwxsGEYYAIWsm/gmL731PStEAq0GZnN9Yhn7V65mzrtPcbBoD+6XXmNAgAwVHyJhtHF4+VxmT3yJT7bXIVmnBcLQ6wJ/RDH/5+T42gXMm/g8kzdEEaUxoiEMvU7z53XvOcOBpVN596ut7E7ux5i7+tIvMQnPwYN8Pf9D5v0+mXcXjaPrzS0JCwOsK5j53Vf8fjaVduMf4L6/tKFDbSs7F33H26+8w9wfZpJ0/YsMGHaFW5f8RAiEUYCay3cPjODprQY6vvkFo5bfzfPfunHLZrEGHGXWYyN5fLmVjJfe4eYdz/LeFCeuKta969h21s74jLVqI1qMf4/PHkw7/9qQATaa93mZ3779nZNDU6mdaKZk4c8sO3qGxNvf4l/P3UiHyolv4lOTiDacYNnYRazasgWGtauh9/q/Cf59RiHg8G/8tCGNu7/dwtf3ZlHHouCUh/JqRt5iZi2rx82fruebR3rRuBbYqlz3gtOn9rFhdTGmhFaMH5520asx7W7ikSwjyq8rWVNqxQ3kn9hNeYmB5LhaRFw0sIELt0egKFzx4mx/Evwto6JAbDaPf9aE1H7NSNKUoFHkUfUaE9mNBz9PIfmaLBpo7OzTeFv35ZQXneDwIT21BvWkV8olL2ua0aIxhC3dyZFTDmxNIDoiBq3Bye5jpzlbCpybhaq8jIK9GzmrEbSMC5w5VIK/ZUSByBYMGTOAZhYAF6pMYs2xpDPw1oG0qAXgvMyuQRllp09ymBjM6ZkVc59cREtCgzroOMCxYw5sQO12Q+iUbqFg1TfMnLGC48V2HO4idv42ky+XHIWs/lzXIaH63ttVFvwtoxQY3FbKTp/miC6MlMSYKmeUSkzKQKebR94pJ/ZyIO0mbrtuDlv/NZOPX7XjUf+Paxvt5YfJbzA9tzk9X36aO9saqvhN/kmGUfIPCqAoKAi8TW8sKqctVpRzk4Xpaf/gBN6LSOKpt77h3QdHMVVbjqFJNvdM+oJ3r68TUNPEhUA3VQoMF5xm8hbGKvY2NVojYYY8Ck4WQLmDsyUuTm7Yxa7F68g9WRHaK4yQ6Ddkyyj5CYEQFdO6oam6jdAoFe2cECAUQD3DvqWfM/HnPdjq9+OG1u1JMB9m/fzFHJr2LE/HGnj87myy6oTV4Pv478kwSv5BUVC0GrRCIDxVXZsDHk/FlapajYJGD+z4kof+/gJzjvdh3Ktv8ModqcRSwsmZr/LMoy8x+Y272cA3HHiuYw2+kf+e7KZK/kETTmR8IqkeK/ZjeZRXsUje8S243PGkJJmJ1h/hx1ens257Xa556A4eGJdKLACRJObcz31vPc21psMU/PAZcwPkAmQZRslPhGOJiaeupgzHrnwK/vT6MTYtKMJBI5JSTFg4wOpdh8mnAZmZTWmmwPm9Sm08jVp2JrM+uAqOk2+v4bfyXwrBMOrQaisOF2i1OgLjqsVgoUOnVVBQ0Pxp3ZuIqJVM4zQ3Rbmb2ei85EfPzmPBeicubSua1DahCCcujQJ6Axrl3HWufxwEUlTQGECjjSUqvPrf2dUQImGs2A/xeATgxOUWCFTcLid2AI+KGiiH3ALOxeve6RYIBJ4q1n1sQhpZ3eIpP/MTX32TDwg8Hg8el5P9X37JPBW4oRtZ5jBQUkiLiSbKdYQjx/LIA1BF5ZFTB6dP53LokA5LZAb1AmQOoBA4gCOAE2x8ezpLnG5Uk4Z1S8uwcYolP36Obn8s4eGpZPbuSe+mCZh8XW7QOcXWD6bzW6kNl0XP5oVnKUHHmgXTmFDyG9GmFJp1z2ZAy7pYkhrScsj1ZP57It//3yA6rLiJEQ3suHdP5dPZu7F6evLUY71IrK0FMhhyYzsmrf6Kzyb8jaLSv3Nb565kaA+wZf03vDt1CuvKkujx+HDa+3oV/IdCIIwAucx/710mWe3YdQaK8s7g5AzrZ3zK/l8EbrUzt2hSaCfDWA0Os3jyB7yfV0ipwUhJ3nHswLY5Uzjyu4LqyWTYwwl0aFkXC7E06jCKR0bv5NUlS1g36QRH41XUUwWcadidO8c/wpjMJM41dHUHjeeBE1omzVjF7x+9y56Z00nW5lN46hhnjZkMGT+We4Y38uWb//8SImHUoqtTh0SbA4eikJKSjE4jUF0u3B4H5UWRRMpeajXRoE1IJEExYdFqSEmpi04LwumuWPcl0USLc/t6Wsx1OnHjK0/j/HcS7/20BaHoUepdw7V/uYYXHh1K7XO/VghI6Mwtd9UiKWIGk39YzNa8wxxWFOISunDj4HFc99ehtE2s6BsFwr0bivAyg2OrVq144oknGD16dE3XJP2PkpKSmD59Oj179vR1KVKliRMn8u2337Js2TKvy4TIARxJ8n8yjJLkJ2QYJclPyDBKkp+QYZQkP+E1jEIIzGZzTdYiXSWKomCxBMhlJyHCZDLh5cTFeV7PM+p0Onbt2kXLli2xWgNrZOZQFh4ejsvlYtu2bURGRuJwOHxdUsizWCzs27cPne7yp/W9nmfs1asXS5YsCaih7qQKQgi53fyMEIKcnBx++OEHr8t4jWppaSkPPvggQ4YMwWazVUuB0tVnNpsZMWIEjzzyCFlZWTidl97+INU0s9nMtGnTOHTo0GWX8xpGh8NBdnY2ffr0uerFSdXLZDIxYMAA2rZt6+tSpEqHDx9mz549l11G4607oygKZWVl1VGXVM1UVaW0tNTXZUgXKC8vv+yug6IoaK50hEeSpOonhJDnGSXJX8gwSpKfkGGUJD8hwyhJfkKGUZL8hAyjFDSqnoI1cITIGDgghBtrSTlWh6NyA2kxmMxYLGHoNfLSseokhAdbaRlWh7NiWEahxWAyYQ43Yahi3bvdDqwl5djdbgAURU9YeDgWk/6yrYeiunBayygpdyL0RkzhUYQbAmfbhkzLeKZwB+/+/R46tG5NWrM0mqb2445nprP2dDlVz+wgXS3FpXuY9NgDdGmTSdO0JjRp3ItbHv2M348X44aLmi+BYM/mX3j0uutIa9qU9PSWtGo1muenreY4V2jpitaz9KXRdE2pT9uht/Hi0sC6wSH4w6h6OPXrC9x58128MWU5+ZYY6tRXKC7bxA+fPM/f3vqRJUcq7mwIpC5NwNj3LX8few8vTVrEUV0UiQ0MlJRtY84XL/PQm9P4cW/5+aHbRGEuK/59D2PGPsnUZQdR69UhvnYpJ0/+wpcT/o+xH2/B5qxi6uPKDVe8czVzf/yFvS4Hx46coMDqdZpkvxT03VQhVIrWTeHHbRqy+g0jO6cNzWudZd2Cufz45VI2fTSV+W3b0qteRgh8M9U896ZpzNqcT/3sgfTJaU+rxFK2/fYL33/xK1snz2JRm14Mb5oOgKfoMPtXzmD9mVQG3XQDXQc2oo59L3O++Z65C1ew8L3v2DigMV1TLBcPvagAngP8tvB31p/RE5toosxgwKgNnC4qhEAYURT0sY0Y+I+HeevOfjSrfHrMqPbUOnE3Ly1YyKaNW9ick0EAzTgdME4WO8l++DX+OW4YWecm1xjZlaTifB77ej95e3M5SDoNAaHRE9eyF6NznmfStc04N0XG2EH1yW5yL0u3TmHW/r/TIslC9CVTEtvW/MiP87bjTL+WW9ILeHtWYHVRIQS6qYpGS8roKXw+ugeNL3qhNZ1bxtMIDycKznL2rK8qDG6Joz7n41v60+qiWW4yyGqeTDpHKTh7kjOVO+26uu3pM+4D3unfmIvmqknswtBMDVqOcvCIG6frgtcEwBnWzV/GsmP1aT5wINmRNgisHioQAmEEBV1EPPHhxku6ARYiw7UYAIvZjFmO618tdBHx1A4P+2PGKQEQQa1IExG4sNls2CvDpeiMmCJrE2e6cEsJhDaCmEhQCCcmWoNOe8EvU8C+bxrfz96Bpe1QbrohA50rMO/hDIEwelNOWaEDGzHEx8URG+XrekKEAnCUA0dOckCfQHzdutQ1XulHyig6KfCQToN6evT6P14B2Pj9jyw+ZqHNkMH0bWKhtKqDPAEghMN4mEP7ijhLfeLj46jl63KCmfCgejx4VHfFaaStPzHj952cbjqE7n270vCyx1kEqnMfe3aoCNJJSdRfPK9jyS/MXXSYkoy+9O7dBEpteALruM15wX8Ax5t1s/j14C5KUm6lSWoK8b6uJ5id2sLOPIFTyefs+kVMnPQts3LrMPSl6xje6wprXmg4/f1nzFRV6N2VTmFGws6/qLLt80nMPZBAtweuY1gacCYwW0UIwTBWzEh0hK8//5lfd9ci7f6+9OyU5OuyglrZ+in8872NnCgpxHHiAJsP26DxINqntSIZqDjVr1Q9U1TZMt6ZsJQzanNGPJRNUoSh8idAca1hxryl5Cfdyr3dOhEDoAbGjFNVCbluqoKH4iVTmDx9Gx7LUO69oRdtIzXyjH81cip6nC4ndpsJfVILOrZKJDPOyf55y1i17SwOb0EUJ9n+1WQmry0jpc04Hh3SlDDduQnDwfbTDOYciqLlgAH0bVHZrui1aDUKKBXTxAeSwKr2qljDe+PfZ3WhhRGf3Mu13ZIruj2B+nUaAGIGv86cwef+V4Lj0Fc8e+ervP7aX9lX+C5vvXsPncMu/Sk7JSd/5sV7vuKsoTNvffN32gj44zz+Jj5+cwY7jTlM6NuOhnpwAzp7xVTlCBWXywEYUYVCIFx+HGJhdLPs6Uf5eNdJGo79gr/270i9ANhIwSUSY4PbefYZB0dP/4uvlq9g3ooRdO4Td9FSwpHLN3c9wExg0FvTuKmhBt0F28q27Ftm5Z2glvYI2777jLeWqziElrDTx1m7ohysxSya8RETj8bSsOs4hmTW7Lv8b4RUGPd+9xSvvL8ST/ZtjL/zOjomQ+DMaxtMDBibNaVevQj49QiH9h+HC8PoPsL8lx/lvXklNB33Do+MaEDcJZ9U5/GDHC5yk1e0gO8+X4uir7zDwymwl5aDcLPvh7d4fUMjBta+hSGZVzh/4gdCJIwqRQdm8+lzr7HCVJfbH3mbsR0jqDjPL4NYfRyc3HEApW4qCdGXhKHgMCXFheCph+qqOOWhBRCFbJ/7KR+/O4/jbQfx2pN/J7uKA6765Lb06puP5UAJWkUgBKBo0LpLOX2ylOKzOmrHxVE3KZ7ISCsgw+gHBJDL13eO5K0dMPjfX/JIr4ogXjRMpeLlIIL0XxLAcb4ffyeld77Bnde1o5ZZhxCgKFZyN87n0IFSSE4iNjm+Ioh4yN82l4/+9hw/aJJ57O3PuL0hf5owRlEUzN0fY3L3x/78Z8+sZvqzdzH6OyN/mfgbE4cEzgRAQR9G4RGse/N6Xl/jwJV+LdH7VzL9o40oouLyRcXjwhadSr+e3emYlujrcoOMiqt8JW89PJx//6sTo4a3IaFuNAcXzGP5inmsOx1Lu7GDuCknBQDr4dXMnjCej/PCMHYZiFg6lXfWgPvcqUPVgyOpPfde25mo8D8d8amg06KpPJqqyKOp/kWIPLbM3kZuOXBsF79N38xijwvPuS9bt42SxMEQlyHDeFUpQBw9HryfdR/PZuaKmXw0eSlmk4kTeXkYk1rRe/St3H1HP9pU/kRJ3k7Wzy/F4QZ2reb7wz9T7rqgVVRdlDd/gH69smjvLYwOO7ayEig2Um5zEgjd03OCPIwCsGFJzaKDTeByOXB59BefUnSHoYuIQqPT44KLL7WS/kfRtLnpJZ5NTKfu3C9Y9Hsh1mIPqYP607X3Ldx1cw4d48Iqj6F5UMzR1G3dhIza4RiFA4caffFliqoLozkCu0aDipeT5IYoEpp2IKOrnqZx2qqW8FtBHkYFja4xN366llFXWE6R+4zVxETj3nfwSu9xXLTrpyh/zD2hAGhJaDWcp+fewFOX/X0KiuYy2yq6FQMfm8aAR0FRAuualiAPYwVFo5FB8yVFQUHhylNGXiFo//Gf0/wHf8v/BNZXhyQFMRlGSfITMoyS5CdkGCXJT3gNoxACs9lck7VIV4miKHLb+ZmwsLA/XUl0Ka9HUxVFYe/evRw7dozy8vKrXpxUPSIiIrDb7ezevZv4+HjsdruvSwp5ERER5ObmXnYacQBFeIlrly5dWLVqFVptYJ04lcDjqRj7UG47/+HxeBg8eDBz5871uozXMK5Zs4ajR48ihLhioiX/IYTAZDLhdDpR1cAdDyaYnMtQw4YNycrK8rpclWGUAZSk6nG5bHltGSVJqlny1IYk+QkZRknyEzKMkuQnZBglyU/8P4X7FhrYgqOaAAAAAElFTkSuQmCC)
Maths-General
Maths-
Solve the radical equation
Check for extraneous solutions
Solve the radical equation
Check for extraneous solutions
Maths-General
Maths-
Solve the radical equation ![square root of 3 x minus 2 end root equals x minus 4](data:image/png;base64,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)
Solve the radical equation ![square root of 3 x minus 2 end root equals x minus 4](data:image/png;base64,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)
Maths-General
Maths-
Does a linear , quadratic , or exponential function best model the data ? Explain.
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)
Does a linear , quadratic , or exponential function best model the data ? Explain.
![](data:image/png;base64,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)
Maths-General
Maths-
The speed, v, of a vehicle in relation to its stopping distance, d, is represented by the equation v =3.57√d. What is the equation for stopping distance in terms of the vehicle’s speed?
The speed, v, of a vehicle in relation to its stopping distance, d, is represented by the equation v =3.57√d. What is the equation for stopping distance in terms of the vehicle’s speed?
Maths-General
Maths-
Solve ![open parentheses x squared plus 4 x plus 5 close parentheses to the power of 3 over 2 end exponent plus 1 equals 0](data:image/png;base64,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)
Solve ![open parentheses x squared plus 4 x plus 5 close parentheses to the power of 3 over 2 end exponent plus 1 equals 0](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKIAAAAhCAYAAABa1nBtAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAABGJhU0UAAAAfTSyfawAAAzFJREFUeNrtnD9oFEEUxocQgkgQJIiIhSBBUsgREAuRIIKEK8QiYJHCQgIiEkRsxUqEw0JEgiAiFikEOSxERAhBJIQgBBELEcHCMk0KCzmOg/U970X3zpnNrPNvzX0/+CDZ7G4m376ZeW92LkqBqpCJ2qQPpGlYAlIzQfoGG0BqhkibsAGkZIy0QLoIK0DqPPECrACp2UO6TboEK0AVaMECkJop0jpsACnzQx4JX5MOwRIAAAAAgIHOC20FAAAAlJxieAvTKmkcloCU8K6RK6T3sAKd2QUOooaH++D1VC8N8Rad2YIaac3DfU6R3iL2/mJVPEZntjBq0vEeB+Q+hyO096yqxpKG7XLLMdJKBTvzEdJN1f14Qkh4V9ED0jvRQznWw6QEkOsf9FKCMTSjpE8VCkRbViQgq9KZmUXV3XIW2stl0rm+gWS5/6Q7pHnHkfCVLsI9P8gtuDfNBTYvC9D+q9vk4D46cxb5OhvOk+5rjt8jzeYP8G6PKc2JcwbjbsnPtuAgnIhkwMlcTzJda9vu2IF4QjcKeOjMVQ/EptJ/KvG0/Ow330kjhptw9bY/9z1/lmLBIk8KYQC38aP6s0Wq6FqbdscOxBHxWodLZ44ViP/6GnLTEF98bCN/oFPwy+uku/L1mYIeHcO4Rl8KkQVsd5lAbEuAcTBdlxzWRLvEQ94pI2LH1o/ONjdakkqOK6uxgFVm0QOoaQqqzGO7XTcdDEshwhXo54LRrR2xas9UmJHdZyC2bKdm5poYWAvQSFsDuOQfL3mtS7tdHsy0YfmlaGpOMcPEmpo3DPG1q39qXpIiwFQcNGWam01cnZYxwLXdriNEq2Sx8j8EokuxUjd02KbN8g2vZb0g7Za8Z93D1OzTANO1Ptrt0q6jpK+a4/Pi9aAF4gzpkeb4k/5BQregvU+S7/wD5EXIxYoHoq9227bruYx0Q6K6BOGM5lybBe2dGIjMG0mVhmWavmFIX369Z67lchk2+KDmvKeGYTYFmSYHi91uXqz9Igk5L1M8Ix3XnFfmFV9sD2PsBN9Leiwpyw/VfSkxaqpK1xQIRdlNDwPNZeVnGxjohfNC/AuRAn4CTqgelPoJqA8AAAEZdEVYdE1hdGhNTAA8bWF0aCB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMTk5OC9NYXRoL01hdGhNTCI+PG1zdXA+PG1mZW5jZWQgc2VwYXJhdG9ycz0ifCI+PG1yb3c+PG1zdXA+PG1pPng8L21pPjxtbj4yPC9tbj48L21zdXA+PG1vPis8L21vPjxtbj40PC9tbj48bWk+eDwvbWk+PG1vPis8L21vPjxtbj41PC9tbj48L21yb3c+PC9tZmVuY2VkPjxtZnJhYz48bW4+MzwvbW4+PG1uPjI8L21uPjwvbWZyYWM+PC9tc3VwPjxtbz4rPC9tbz48bW4+MTwvbW4+PG1vPj08L21vPjxtbj4wPC9tbj48L21hdGg+3gBBDAAAAABJRU5ErkJggg==)
Maths-General