IM 6.8.13 Lesson: Median

Here are two dot plots and two stories. Match each story with a dot plot that could represent it. Explain your reasoning.
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/7yl2mrrbbKxwa52XXdddfNZGaiyuPlfp5f//rX+V6g+eabL80777zp/e9/f76Hx66zMnnHffgGWiFjxs5BZ2a60X3uuefO93Z94QtfyIYLWYiElO67776022675XvF5F1llVXy/WBuhK4med00v9NOO+Ujyt7xjnfkm+sdGNy6o5Ec2YrvvETytdBCC6Udd9wxHzRcvSm6Wv6M+KydDDnzxFFbXs6Y/NWvfpXnU5kLgx+VQmKDx3RKlMhqfvLJJ/OxQm5wjZM43Li63nrrZesSeclH4bg/zAkOkc8pH+9617uykqnetDolwBmyTiCbyy+/PJNSnKzh3ZmH3/zmN/NTDQISt1e4h8zJLtXTPciCo8qqSlzej33sY7mckBs3MTvqjFfPy4rk2lVXXTXfTK9uL3V88YtfzB5h5JvR7zywDTbYYOQoLe10c7Yb//Wp1Rud0e2dCvUXEpsKo9hAH1jX99xzTz7bzukMoWQc0OrsRCEieYSOWNjvfe97R52dKJ+z9i6++OJRyqiBppYiG0bAOH/lK1+pPTuRly6sGElo0MkecTwUuQnCaz07UTjQ2YlVI0ne2WefPR9R5T6zSHF2ot9DFh0G7DBqIe6Jkm666absKVbnjDaLTAjFMghKGiwChcQGi+eUKQ05OTvRwb4s3lAczqtbfvnl8+kN8piU1ko23HDDafIJ+/zsZz/LRDdlgBnCjhhnz5Nz5FiQiHfk4xSX6tmJ1sK23377fNq8I6fIjXfHkAmz8UR4Y0KUyE94sOrBIz9hRZ5XNUzoKKs41iyIkaHkFHxrthMlCasvtdRSo+aC/psf1olLVGLwI1VIbPCYTokSKRlHAgkNve1tb8teFqXhbLuPf/zj2fuikORjqX/jG9/IykceL6GmjTbaqIRQpoA0ULyOnFpjjTXyYdDGlzFjXcoGCydoRBJadh7iW9/61nxmorxCyxtvvHHe7BD5vMt71FFH5YOFeS7yIrRtttkmHyeFPCMhKof9ehSQvOonlx68WX0UTOSfUe+OaXMsFm9SO708f+3QQw/ND/Us4cTBj0whscFjOmVK5GWxlikaDzn02AtrEMI3YVGHVW39zLl38gmdONuO4qGIqusgUwacIeqI8WOo8I6s7Qgd26zgKc/WtareBaMGqZ1zzjk5rMiTt8mDh1L1rMBHhnjx1tWsIyFJm0Vs9iB7Vbnxv8iAMzzJ14c+9KF8sj4v0G8TJZF37dQPc8EGj+OOOy6fQQqnap8mSpsnezsKiU32EWyw/SYcBcEjsz4mHGL9q2ohR/XyUUgOb5VPWMl3ZdIGQpP73TjarcqocZgvRY2s6jwLytouPXlsieeduBbBtaYgPQ9ZRV4Okpa3Tm4QKbkiX3ZAksuJRGD6pt36zzs0Z7y0U9tLagaBQmLN4FpKLQgUBAoCBYFxQKCQ2DiAXKooCBQECgIFgWYQ6Epi3GMuu9i3V52b30zTSqkFgYJAQaAgUBDojEBXEhPfRV4ehudeEese/RKZuHe/13Ru9mB/1bZ+2yi/3VWwEf/3f5NJG5teGA4c+sWi336rJzaG9HttP/mr/ennul7zVsv3uamkbGPfpIyNZ1+MfdN9iTqaGpeCV//SXsWs/6vbX9GVxCxIWsx1n4MbC+0G6kcANdxCrZ1JTQlU++51/0WbgqjrFqnbleA0gauvvjp5cu0hhxyS+9gu7yC+5w1bKG/yrDg4uMHU4rnPTSR4kymnF9RtEBlUneoxnvrC0GgimQcMGXU02Rf9cBJEk5sD1GEDgleTY09+3RDddF/Il3HvR1f1IyPKVX67jU79lNUpr7GwG7h6ekmn/NPzm76QYRt1mhx7cwV/DLovXUkshM5RQ7bA2j3Uq2BQJHHmme3XyvLdREqApSDcx1G9abNTG014Z8kdfPDBacEFF0wrrbRS3jHV5E4pOB5++OF5p1ev+HfqQ91vsLC70NZpn5tIsLNz66STThp1f9Gg64IReXNiyB133DHo4nN5iIuCUUf1XqlBV8YIdKwXgmkqwcqBvQ7ibXLs7VT89re/3WhfEKT7Fo17U8aFct1ycOWVVzY29nQluXJbS5P3wunLpZdemm655Za2O0PHKnfmvZ2a3/ve9/L9cmMtr3r9KBIDGmEWMqTQvZCW42E++MEP5rvrg8Q0KvJicd8/88wz2ePyGyViMriWt+KwTqc5m4iu87t8PDTfuV59yCF+rza0+jkUlOuijWFxV4WWVaENrCX55OFpIBt99btJdf755+dz2dzLon5t0rZ2iVLRF5isvPLK+fDSM888MxN2u2vG+r12OR2B0tT/JhLL0nFSp556asapiTpgzhI/8MADG52YIVtuhr3++uub6Eqe8LaFU8pNKhkGzGabbZbnSCMdSSnL/CWXXJIJuSnP1diLJhx55JH5XM6m+mLOu0nfobt0SROGs3Kd5H/hhRc2NvbmOd31kY98JEcumsJLX+iva665Js/7JvAy9rfffnu+t8/8H2QaRWIqcr8GK9mpDIhn3333TYSbJ+YmxyAxgqJRjqP5zGc+kw+K/exnP5u+853v5EFFFO4REWpzkvPSSy+db4ClvFh7iMBk8VgFHs1HP/rRPFg+X3vttR3DDUDnMbgJd+edd851u6GS9eVkgUjKJ2j7779/7ou8PEITSfsICIXNw3TUza677prb4py21hszo0zvyNNJBQ41tU4IG9cKYTSVCon1h2whsf7wIu+FxHrHrJBY71jJOW4kxv12p/myyy6biWGfffbJp0w7PXrxxRcf5Ynx1o499tj04Q9/OCtweR0GKu9+++2XGd1hmO7wn3POOdMyyyyT79x3koPnUiFBJzpsvfXWaYsttsgEJ2TiLnePbkBkVa8KECwE1gm3dLvttssnSCBQ7rZ6HFfj+UXyUfomJeJ1d7+yeYQeJSEvT8opEyw233nMiDPf9t5772xZE9K6pOyHHnook6KjdDwvyIkDyy23XLrhhhs6enB15cV3+oVYhULqXjxJROlGTwZAXZ6xfseT1gfGAIIfa3l111OW8PvSl740sjZSl2+s35EvMsBoESYba3l11wv1CCmpI9Z56vKN9TtGk3lGZsdaVrvr1eERKBHuaZdvLN8be8Ynw6/JvtBNjG/jzpAdS5vbXatcoURRHHsG2uUby/d0EB1FrzG8x1JWp2vJscfsOOfUvFdvp/zT85uxv/nmm9MJJ5yQo3PtymjV+aEfO72P8sRCGVPywlYGhze15557ZiXvsM7wxIQ4xFCF4ExgYHPfEYEDMIXphFj8jiQQnIEQ0gslTNh4ZXHCA+V2+umn5/AcItTxakIgGJ0Lv/DCC2cvTzspeJMiymGFC/NoC1IVTtJGea19OTmbF0cQXYO4HWqLdLVZyFE9rUn9wEewiy66aA6JIWKKDPEfccQRmZzl6ychMHWadJRI3Qsu66yzThYCp4HX5Rnrd7xofeCF+zzW8uquN+kpfSedC/XV5RnEd+pxhh9ZFg0YRJmtZTha6eijj0677LJLo30xFmRW1KC1DYP6H1YMTHO9qbEX4aDEGK50zaDa3lrO2WefnQ8GNu7GqPX3QfyvXFElxnFTcmyeC1WvttpqOQw3iHbXlaEvIlkHHHBAo2MvjOzRO+Z/XTsYUSJc/aZRJEa4hNYQV6wJISsPRkQGrRs7KOt4UfrI5LDDDssEw6ujmBHX6quvnpWJ/1sVfFwfngi2Rig627pYLi+m9nA8JIJ8Yo0oyo08FttNfMofGfoeeSK09ddfP5/Orm/Ij7Bro7I6JW1ksdpgMf/882fAla0Mh5NaI0PE8vWTeGBw4tk51LTu9Za3vCUfpOpg0brfB/GdQ1sd3OsQVvUNosy6MvTBQa5N1qFe/dGXWWaZpZG+KN+ByE3jpR4H3jY99jPPPHPyUl/duI31u8DL6fdN94V8Gfcm+6J8eDUpx8r2FImm8Yp50iRedIvDkNv1xVMSnDXZbxpFYg7rpIyRUShiip+CVXiQGMJCSNbPkAUSEKpzrZ16duxZL+tEYhS3cE9sJBCO9IRXBOM5VLyoVhLTOe1CGkKI73znOzMZCU/whtSnbUJJxx9/fA5jOiwUOSuPWy60KDTqwXu8rn5ITJs9E8jp7B4tERaYRVF1eFQEtzwMgF4HQ5+QIcwsrta9PIpCveeee27e2l+XZ6zfWZ9kIe++++55rXKs5dVdz/NmcRkP4d66PIP4Tj0e5MizsG47iDJbyxBKZimro8m+eIQJI/Kiiy5qpB/6pQ7z6KCDDmps7IXfWP08/Sb7YtwtNxh3IbLWcRvE/8qlY3hjjOpBlNlahlt4lO3WJjuGW38f1P/k2DKK5SE6QL2DKjvKMfYiCfZNmP/xffVdhEt0r980isSEC22wEBcNEhMfFRqsbrFHLjwmGz+cbL7tttvmxw8I3QC8G4mF10ZhIi3EgsAoT0TjkebtSEwHKXwej+t32GGHvO6FrNyQjVj9/tWvfjWXQ/Frp/K99E87rckIJ/ZKYjw55QqJ2NCx2GKL5bU7xG6HIkLVb2FTYdLAr9cBUT7yg03dC+EyFKwHCmnW5Rnrd7xMIVUbexgYYy2v7nryBHObbYSg6/IM4jv1kFMyYnPPIMpsLYPRxKgxOZvsC3ny3CzzsLUNg/ofVsL0FAw5GFS51XIYxG5nEa1psi/mteUI4y7awvistmMQn5VL2QuLWWIZRJmtZYg6cSgQMn3X+vug/ifHjDFEY943gZex57BYb7cE06ntverMyDeKxBCSrbxVT4wyAGDVE+OZ8YTsOmRRmcAGlWDaXeg5Q62emJ2BwKKseUrCejwXmzoQokmkDKFLm0BsK/VduxRK37qdexx4Qossski2JAkxK8zanE0kNiyoO17q0QZl2FHYSzgR6Mg9NofwiHihLCXvyM3jKWJtbXoWKNv11feEq2yx74TQ6N8YBIyOssV+NC7t/oNV2Z3YDp1pv6cXyxb7aXFp9w39iRNOPvnkvD+hXb7p+X4UifFUbMKwnqVSCSEIzQgTRjjRmhnSsJMwrBDege+RlfUiFiqycJ+YMKUQAlJCHMrkwgobsvr9T+mENej6Tp4YL8dLWawG5KLN2s4zQ1rCIzZbcJMRgPLjOp+9JCSGeF3r8Q7tkr6wIhGsZxop03cmv3dtR+jW6r72ta91JOB2dXT6vpBYJ3Sm/c34FhKbFpd23xQSa4dM/feFxOpxafftuJEY7wJRcV8Rl52F3oX5eDlxn5gNEL7jSQlBICw7E+34s5nCzkGsy4XkKQk32mHDK/IsImQgFkrh+00sVH7xWB6YBeQ6EgvvS8iQG8+bQ1433nhjOuOMMzJpWZ/gZQm7ib/yxsSuWU3q8I7gtBmp2S1pt8y8886b3+NZSUi5mnindlbxtMSngwQjj7bZPswbE8IUMvPdoBKi1A94ancTyXghct6lz00kuDE6bLhhvDSVYGQMQ+aaqIe3LUqhjib7QmEKvworNpXUIQpifjQ59qI29AyjrKlk3IXHzGVGbhNJuXQP3dXU2NMfyrZWac40lcixdUQ60dgPUm9Fm817epu3L1w9yDTKExMmtPMOYfG8rG/ZtWfNytmJ1sUoc54OrwOJ8XaEIa2nyc/jsmkins5KWLmQ7373uzPBUfC2JfPa3PekLveFCVciOmtiyuEVtgoHcAmP2C2ylN91PD1t0UaTUD6DYVLa8Ycs9ce6mevkN5GUhRzcG4WcllxyyUxAPK1q3cozAPrPA0VWdQkhUs42jmhjK9HVXdPrdywZ2BO4JoRMO7QXbrzKQba92scYQzLUlIJRn3oQmb4wappIQZTqiMhFE/UYC8ZLk3jpi3C7+dD02FNiTfeFfDWlkI0xvMgVzJoee9GuQS9PVOW0Ok+aHHvGBUNs0H0ZRWIqwfg8G96JjRLISkgQSyMIFhsB1Bg7SRAUUnJfDiteXt6biQ0ceZXpWmE2C3vKEr5glfGKPL7bbxZKeTDK9aoTdMpJ3YiHtWUDh+vd5Gyi60NVyAgAQrFG5h4oi/CuRVLKMmgmLq9Tn9Nc+tcAACAASURBVLVD/ihHWfKZFHYkyQeDuuSa6BNvU/8HlaKt3ptKyq6+mqwHNk32JdredD36MNXqaHJcxgMvY9/0mKhDX+IV8tbE+3j0JeqYjGM/isQMAKXOgkEUFL3PvsOeVS/Ad5Q5sgprl0WCeOQDihRCy2qRT5nxuzKQWZSBBOJ6v7UDtFo3T0+Z2uL7anK976JueVlO1X7Ir63qVk5dWcrRN3V4b9euyAezTvmqbWz3ObCsw8F30d7oT+Ddrry6712jnhiPyKMfxkE/YGeMvNdhHNe0visjsA9ctbm1nfKoRx7GhHpb87SWXf1fXu13LTnSVn2KFH3R/mpftEXdvaQY15BVbW3tS/RXnuhLvzKgL4GFvoQcRRujr9EPdXm1jl/k7/Ye5ekL3CNFf2FKvtTXK1ZRRrwrSz1kRz3+l5Tn/+iLdy/tiDxRRt27PMpQbpQBC/9Xy5DP//piXGDaT1+0XTtdF3irr6pDWtvhd/mr7ajrQ+t30Vb10L8xHwKPaIsxqZPB1vLa/R/tDX2srerwIrP+b8W0OqfalRvXV6+tYgZHfZDkNVbRl+mVYWVNQ2LtGli+Hx8EQlBtqb/uuuuyd1mddISJANuuaucdz9K2eMJSzdeptSFsJoqzJnmmhCiScmx44d1a77FWyWPmoRLQbkn5BJb3au3T5h0eu3VTbY92muQMCyeV+N39dnGsVgh7p7pgYaJb+3BKgzVLa7Tarn5JHdZH3WdX7Utg1ql8v2mHySbUbhcqjx7mIgWUgN+jv7x+O2W1w1Z1u3Vd6/duCf5VvEQsrFMIUYfCNMbuh6yOi7HR/+hvt3rid23SNus6EcXwm+8pMeFzIXd9Me7aVpWRKKfbO/zhAjvtNPbqIAfC/cakOi7q7UVhKke5oiPaDwcva1QwMy5e+kLGhfnJmHV0cq9dvSR9Voeyo502pWmnNqhDeDR+jzyuiXb0Ug9MzC3yL6oVMqRs9cS8N5/0w6kq8pJ/v/eS1EFORKzMZzJGlm15jzrMlVb5Mm/JXrekjfQSuY3x8B7jYxzInHzkyfcnnnhi3t8gAqcOePabCon1i1iD+UOQKSpb+R2abCHURIwkNOuGUfem2YlpI4y1QaFVhNBLMoGtryEXG3nc5hDXRhuQgnVGx0O5id1apfVOwtctmRDCqU5dcX+TY5l8tvZp4lBghJUSEgq2nup3G4r0i+D3QpaUkVsb3GsIC0fnWPfUViQjIRr3JdngY300+mJHqvq7JZPOhLcT17XGRV1wowC006REctZ4rR+7D9EGH7hS3H7vlGBuErsu8IIZvLwL0yvDhip5rBnLpz1exh6m/STlUVjWs60rU/4SpU1pwVHZdhtbC3ZTL1LuN1HCxth6M3mDp7GngDfYYIOMFxlzf6Vxs3whD0w6JXOCwQAjmAcWe+yxRw756x+lqDwyZQOZdXab09w7SP67JW2wPGBHsvF3+5F6bDpDyuYRvBhh1vytyRt3fXFvqo1k5kK3vsCDR2Ljlr6YZzbyMJgcl6cv2ms5hNwp21yxto80jX23OvRVe40z+dVO50u6ud3+hMDL0VPOgbV3ITDVll7wMm7aqG1xrXfyQ5c58o/+QJo23Zm35n1shmPUVHVdt/GJ3wuJBRIT4J2VZNOIASbIBp9nUbWCWM6E2E5QioAAssooTIq7mzCbMCamDTwmI4Gj3CkbKSYUskGO1gC1CSlZ7+xFyLSB0NsxyjJznTJMGMrAmqi++s1kcW6f8vXNxNJ3CrZb0hYeFcuPokckFIoyreeamCaNMpE9fLRD2RRyL30x8WHMaoS3CagMR55ROIgQUbL0jZez35AN7xbRmLjIttu4yMNbhDe8lOHsPErL+FKWcR6onbkxLtoS3lo3vKq/U46IHCk6Ls06tqQ/DtUmG+7f5HFoF4WDzI1bt75EPeTWNXBANqxumJMxCp7S97vP+kEGjJdx65Z4IAwY5MQ7cb2X3aLhITMg9INiVgcZ4e2bK2StG8H4nawgMUYdT0IdyoG53+GBKBEy2VOna+BmTPW1W2IIKUNbefDG3vwxJ+GlHn1UB30Q894N3Tahqa9bPeRYPnPDGYbmID0g4hNGpXdjzxhjyASmDCx4d0vGTXnGMa7VVnORIWGeGl990A4evrzawoBhbJL9flMhsX4RazA/YTb4FKIJwWIi3JQBxUFQCQIBMPgUGyGnkFiJwj8EvlNSBuGlXG3gQYaUTJXEKAEbZljIvjdRTYJelZf65SXUcY122rrvEGPWI8tTWITVGtamfiIMZEBxdkuBiT75rI3ayxpHMtqtr267oMgoHt9V29WtjuiL8qM+FqdNQCxhxKkOxoCb0cMq1j/H+FCYJnI3JRNlRz3qUHacRKPdSJ9lS5nqp/E33q7pNWmHsnkxFIeQdZXEKC/kQpaqyo0sOiCYbHSTseiLdrKyKU0yy3MNEhNtcDI/Yqbs++2LtgmnO4AXqeiT8a+2TRSDvJlTxsO4kzU7jHmvruk0LvLD3M5lG9OUYRyqmCvDfIUlBWwO60vIZC/jIrpCfniISBhGVTnVL0alMRAKVKc6KH9zlHelrZ2SuWW+MbwQuv/Vo+zAwDgw9hibiEsbqr93Kr/uN+WqR/SCYR7EbG6ao/oCS3UgNsZrRATqymv3XSGxdsjMgO9N/hhUE88RWUFiBILgmriEmcVMcAmASfCpT30q7xIleN2UWpTFKhKyaCUxCtKxXL63Y5RXQVEQ+m5lt4ONMFP8CIoXoc2EmdXnN+VqO0E3MSmGfhN8glCQMywpFnU4YYaXxLvwHUXQT1/khTVFxso2MXkx+sGgQAR26VJiknfrIgiBl6Mt3ZI6jKm26Qelo1xrMOpGMBQ/glcmIiAHfus1wRhxaDtPGVEqk1UsUSYUPwUZfdEe8oCQGALdFKa+Ihmeguvggzgi/Op3a1PqQTQMNvXBslvZ0U/hbxY+zwEhh+cQRoR8iEqUAZYx3mRY2Jl3jpA71UeeyL9QIa8P4cO8igGMwhDkVWoHQ4znEuQQba57N+a8e55q9IOcMjDNBViZH3B0cENgpN2uYyTBUFs7yTPCcG8v4zTuB9Q34x/Y0AeMDfUwNLWBVzi9855cipSQL+X5n27hcUZoESb6yEtk0LoHt99USKxfxMYpv4lfJTEDTZhMmFCeviPMLCiEQNBNql4mj25QBCy8VhKjqIUbKRlrIsKXwjaO52LJqrefpN0mg/4ow0Q0YaxRmFgmoOTdb6xSC9v60WliVtsgrwmCKJEgheNa7TUpTU6WHgOA1YwgKLdeyocxRcKzYvnzerVdiIeyotiESR3+rK8SxcCKR0IMkW6YaYdrhBApf1gJHyEa7XS9EBgFYDxiDdH/SE3fuyX9oMwQsLULY2ITjPEPElOfdSMKUnskxEf5MUAYAJ1IUz/Ij36wtpGT9hvTKolRbsrTT30hX2SNxwPTbuOiDp6LtgceFDrlKKSnzW6XMdbhgesLOdEu4wezTn2BF4XP4+ahaJ92Mhh5DMbafLPWx2NWZoyLdSSKuRu5GFeELmRp/dPYOAxdfZ51yJsVouPl85AiROk6uJJnhq22dJr3YUjQE9qpDv1QHzIj33DyG8PLuMCVfClf+L2f+QhrY2S+q5MRbEzNb2PGAPFZ0heeHyNJuLffVEisX8TGKX87EqN8CLsJaPC9CDZFTVgIYydhrja/jsQImolHiZnAlBDrktJ3NJfFZxO3m5JRT5SFSJCvCWFiU44E2AREYqFIqiRGyHudNOphVbNgbVSgiGEiaasJFH2hfGAoRh/WYbe+UGYmpOtMfNY9grFWZRxYrAg/lIl69ZHHidwodOPUKWkDRWTtxThS+spEmmRBG/SJUuNNKpuHRtmxdBFmt34Yb9jIT9EzJFji+iJMDX9EbKMNcquSmPFDyNoS41XXn/D0tN36DtKkAHlilL0+uB5u2qwfjADehA0rSICMdJNhbaXEkaEyvMPfGqJxUg/PGOlUSQxGSAy+ZLBTX7QBoYpEaKN6rI0yYqwR6lcof0QkTKcdyNXmCCFsmHcae/WTWycGCdfChELnxcOb8WAszHlrmPqlXcoMEoNrN+OVd2jcYczjY8D4jjzzgHj0vFjyoL/mPUMQkTogwkYW8tBtXEImtE+7kbv6yJoEcwYlg7CVxKY3AlNILFCfYO+tJEZ4KAgThJXEOiMolBuFQBhZPd0ssmo360gsfjfZ1RkvQih0I6buczeFqRzto8QoE9YdZW8ihEK2KK3d2qw8/dMvJMGj6qUOeZQnvIYUkazJUb3W5+gHpSFMw8pkjZq42tktRRnqco1xsKsPkfCQKBzeI2Ui6RMLl7JDlr3U4TrtlFc5NqJQmDyzCE9FO+RTB2XEo0GUvqv2u9onv1G0CMt4aDdPEnk4lUdYmVJDohSPdTzlS8ZMG1xrPDspfsZP7DxTNqNB/5E5vCnIWFer9kV//Ua+eJa94FW9Xn7tZPxYNzTG+gQ/n/0mv3fhRG0k/536EvhV64GjtV3eqnbqS+vv+gIvBMpYQLjtEnkyDk45YmiFEaoMBIbUGWHWdUVaghRdh+x4n0Kd5o52tEvGk6fD8EJ++uGFnBgt2hmh2PgNpvrHc0Kw3Ui/Wrf2mw9khuEVGGg/A8I6aZXEhOiRmJ3X/aZCYv0iNk75W0mMgBIqE8fEFNYhGCYloWRNUfyEu5MwV5vficSq+XyW1yRiYbeSRGte/5tUlAeFaSIiMIIdE4SCFO5BPLHG4HeWYHgvdeVWv1MW5c5qFTYSGlVWTJhq3vgMQ30RnuHl8LCU02uCLYwpHMQMc4vx8OcNRyjMu/AZQuY59VOHtqiDsWAtTxiUodJaBox5A+TB5Pd7u7HXb7cuIAn54eWlD45l48EKIVvXoXhYz7BRnr5og1CTsVdWu2S9TdgNwcOEwqJo4+g3mJNd/asmcoyQtQ9JdKqjel181k7jbi2VMiQHNqcgeDKFHJTpe23iWcZ3UUav70iHR4MAKP7WZFzcVgDfqgJvzed/Y4ZgGBJkKjA3F5TB02YYmEe8MXNKP70YHcaP/HcjY2W43k5gMhPJONuFbNzUXU0wVS4vWsSEDHarJ67Xb4addvPyQnbJEhlg0MT3ytQHpE9G+02FxPpFbJzyt5JYVCusYRJWQzWsXQJjXaOdEovrq+91JOZ6BGOyewlfUKYsNeFAwhwWW7Ws6mcKykRBUpQIi5zVSGiVxbozCYUpKXkei99MNKRAySK9bsmk03fejoV64RzlaLe+aYe2+l+9+kIJCNlQrOqiPGOC1dWnna7lgZjEylUHjwXmlADvkdWp3ZSB/1mWvD1Wv/ydxkX9MBF2jXYqg4dHgYTHGHVHO+Q3+Sl+GHarQ99hxMNDrDwzYUSbCoQRyZx2IyxeMlKBnfww5n2Gp1CHle/0QznK9zKOwmUME94J7LVf/+CiT17kA+nrL4+sG4khihhX1yNX7dVuStJ36ueVITaGhvrMEXghIsqzE2baQGZcp3xl+myseatCbvqrHdEXfdMOxhlDyRi1EnYrdsrWb/2HvzJgaO3b2hqsKHfhQOFKZZJH46EeYc5ueJkHohTmsPEkZ+SB58poMV/V4+U3ffUZhuYwAxEBdasHnnA19xlGZLhKjuaTuYPgY76qm14xduZPv6mQWL+IjVN+IQQeDGuPVRbJhCFQrCcxcou9JhRhr1pYkb/TO0F17w7L1cSRCClL2cnZylRXhDUIOwXTaVISYu21M+wd73hHngCEkxfnJeQp9EXQTUYxd9ake0TUZ4FbGIjy6Ja0U6jDTdmx40wdlKUJqwwT1o26+qOvFv6RjZAsYu6kxNRPwSA7oVRWJTy02WK/kJSJri+saQoTAQiVmJTWZ2KtqVNfTGw79OyihIN2wlzfKFxEhWwRFSytJ2iHfpIDMmD9od+ECIyB8Y/7xHwn/Kdca3P6wmjysmO2G16tbSBPlCKPAlGSDS+eoxAVZYcUfLaVXd9h3q0e80DbzAHyAhMKHWbWrfSD4kYM1j9hxdNExjxmBlO3xJgTqtO2GHsGBUI2PpS6OeQ7L/3QDjJAgYuaGLdufVEPY8j8IlMwgZf/hX0ZDsZXuxl95pD1NmvUZBO+3eowDtYalals2JkrDDFzBRkzOOBkjpAveKmPHkLYnYy9wFI9ZIq8kGVzsFVfIGht4LGrC776Qi8Ys35TIbF+ERun/EgFgVGOlGQkCo8F5TdCTalZrGeZ+a2fZIKx7Bxz47NkMpiclBrlH2E3k4XSN6G6TZhQygTUZGftCY14mRyxRqROk1P7LbZTBPpFibUKfl2/KBCL2iaL8FDUYVIqUz8oOwpCWM76G8VMgQoxVY2DuvJ9RxmyJiknFr4yKBDeJaPB2JjccBHe0YZYn+RpmpTdJr/fWfIUJo/S9Sa2jQrGnyUrD6x8Z8yNi/FhobtWO/tNFI6yhd0YBJJ6tNmivvK1hXJGYPrYbyIrcLZ1XxQBXsaWIlMupc1AoFTVSSFX5b1dfRS/nYyME200NiGjFLJ+qIcSRSbGn4whUl5ZL2Pvep4ReYK5eih2Bge5gh/ctYMhoR/q0A7hNHVrR7ekHNgql4GkHHMmPD2/m1PIwfjrq/4Iu9IFvcx74wBX/WEowB2JMbIsR/jNvDNOIYPmI91grpCTbvNeP/WXLrL2RqaU23odzIy/uaIdsIux72Xet+JZSKwVkQnyP8Gk5A1q60TwHQUdrr8JQND7TcpVjwldvd73yqRQCLh6KDZ5WgWyrk7XUzJIxgshx4uCUV+Uoy/Kjr64rtqWuvLjO203uVrr8L/vlW0SBZnpiz75v9c6tNOkUyaFgTCU0dpO+dQln75QCK5rHbtoe+t7tNO16lCXPlQVVPQ32qGO1na0ltvpf22GETnT1kghF8ZMe/SpThlF/m7vIQ/qUKeXvpCFal+0o1e85FOeNsLLS3nVfmiXfMqFFeKRp9e+xJi6xrXVsY92yqP8aIf+wEv//NZP0nbEpx5lGNtqGeo0L6Mv5Nj49ZPIfcwHY1udC35TJ/nWhn7x0g7t1SbltLa/2k59Id/qUg+d0G9forxCYoFEeS8IFAQKAgWBSYdAIbFJN2SlwQWBgkBBoCAQCBQSCyTKe0GgIFAQKAhMOgQKiU26ISsNLggUBAoCBYFAoJBYIFHeCwIFgYJAQWDSIVBIbNINWWlwQaAgUBAoCAQChcQCifI+JgRsrbVF19ZiL9tlq9uDx1R4ubggUBAoCLRBoJBYG2DK1/0hgMDcK+MoGcfguDHTd4XI+sOx5C4IFAT6Q6CQWH94ldwtCCApNy46rcIpAs7h8+gGx844TLZ6Y3PLpeXfgkBBoCAwZgQKiY0ZwuEugLflxAJHTM0666zpRS96UXrxi1+c3vSmN+Xz0BxzI09JBYGCQEGgCQQKiTWB6hCVaf3LMTge0fLKV74ykxgi83nOOefM5xYiuZIKAgWBgkATCBQSawLVISozzgv0/KhXvepVo0jMKfZxovgQQVK6WhAoCIwjAoXExhHsqViVUKF1L6d7zzHHHNkDQ2ZCix7nIZw4vQd7TkW8Sp8KAgWBwSJQSGyweA5tacjKox2WXHLJtPjii+entHpEReup4kMLUOl4QaAg0AgChcQagXX4CvXYBY9viC32HjrIQ4tHVgwfIqXHBYGCwHggUEhsPFAudRQECgIFgYJAIwgUEmsE1lJoQaAgUBAoCIwHAoXExgPlUkdBoCBQECgINIJAIbFGYB3OQuP0Dutg5bip4ZSB6HVVFuK78l4QaAKBQmJNoDqEZdpqbyfi008/nZ566qn097//vZydOIRygLzcUmH8yYEb4clFObVlCIVhnLpcSGycgJ7K1VBcjzzySDruuOPSiiuumJZffvm02267pd///vdli/1UHviavjmd5c4770w77LBDPkNz9dVXT8cff3zeuVruF6wBrHw1ZgQKiY0ZwuEugIVNcZ188slp/vnnzzc7O3LqLW95S9piiy3So48+WqzwIRIRhss222yTz8500/trX/vaNM8886TvfOc76S9/+csQIVG6Ol4IFBIbL6SnaD1x7NR66603zdmJjp1ykn254XmKDn5Nt84///y08MILjxw/5hzNl73sZdkz462XVBAYNAKFxAaN6JCVFwcAr7XWWukVr3jFiPLy2TFUl1xySfbUhgyWoe0uj4tHjrzi9dKXvjRtsskm6aGHHhpaXErHm0OgkFhz2A5FycKJFvH33XfffF6ix7DEo1hWWmmldNddd5WzE4dCEv63kzfccENi0Agpv+QlL8le2EwzzZTP1vzTn/40REiUro4XAoXExgvpKVpPbKW+7bbb8oMwZ5tttuSFwC699NJMcFO066VbNQg8//zzSUhxiSWWSLPPPnv2xrfccsv029/+tnjkNXiVr8aOQCGxsWNYSkgpCSvaXn/dddela665Jj344IN5LaycnThc4mG8naP5wAMPpKuvvjrdeOONWS7IB4OnpILAoBEoJDZoRIe4vLhXzEaOsp16eAUBWYUsIK9y8/vwysJ49LyQ2HigXOooCBQECgIFgUYQKCTWCKyl0IJAQaAgUBAYDwQKiY0HyqWOgkBBoCBQEGgEgUJijcA6NQq1tmFt669//Ws+NshDL//2t78lNzi3JvleeOGFkXx2qclXFvNbkZra/xtv62DPPfdclgWbfchM3RqpdTMyI8+TTz6Zr7GeWmSmdxmJjTSB4Z///OfaDVUwjYMJzGP53RpTNy691z4xchYSmxjjMCFbQcm4t8cNrDvvvHP66Ec/mk455ZT0+OOPT6NoTJ6LL754JN/Xvva19MQTT0yJSTIhB2eCNorM2Jl41FFHZXn51Kc+lS666KJMUFVy8jm243/605/OeY899th8rTJK6g0BRsCPf/zjBMMdd9wx3493zz33THM7AwJzJNghhxySsd59993TFVdckcegt5ombq5CYhN3bGZoy1h4lMwxxxyTFllkkXwW3pve9KZ8GsM+++yTz8GjbORjPZ933nlpqaWWGsk377zz5sniJPOilGboUI5r5U7lYPC87W1vy7Iw88wz53vGLrzwwlEKk2ydeeaZafHFF09vfvObc17X7LHHHunhhx/OcjWuDZ9klTECzCv35DlwOzB0Ss7222+f7rvvvuwR65a8iM2ZlnPOOWfGWv53v/vd6Uc/+lH2yKoGxiSDIhUSm2wjNk7tZblRSOuss056zWteM3KE0Ktf/ep8Ur2TOOTxEm7cbLPNpsk333zz5XuFhJdKGg4EHDO25JJL5lNbHDvl9JaXv/zl6ROf+ET24AMFREXZvu51rxuVl2LlIRTDJ5Cqf2c8mndwRUhwjnMq3/rWt6bLL7985KABeb///e+nueeee+R8U/kdDbfnnnvmaMtkxruQWL2MDP23Tqb/3e9+l5ZbbrlRZyJSSKznm2++OYcseGFCjmussUZWVnFennwmEwvcza8lDQcC3/72t7OyDDnw7uzEjTbaKIcKAwWhrQ9+8IOJUVTNy/D53ve+V8LQAVSbd6RjXWvzzTefxhBgGAjhxlMDGJrf/OY387Fw5mUV75122ik/Rmkyr40VEmsjJMP+NaG2pmWSvP71rx8RfBNk7bXXzgpJHi8LxLvsskt6wxveMJLPIzgWXXTR5DiqyTxBhl0O+u3/VVddlZ8j5txE1r6XR7I4W1NoOZKNHJ/97GfTG9/4xnzGIsXqmlVXXTVdf/31xRMLoNq8C/8xDvfaa6/82CPYwRBJLbjggunaa68dMR55Yrxb8zGMBvnN0YMOOihZz5ZnsqZCYpN15Bput0mCnFh0SEsoYq655korr7xyOvXUU/MEIfjyIamf//znaYMNNhjJ5+GYRx99dF4Hmczx9oZhnnLF88qto1ofJS88qw996EPpV7/61Uh4S6f/8Y9/ZJlZd9118zqrvEsvvXT6xje+kT37IjPdRQNGv/jFL9Kmm246CsOvfOUrOXRbNR5txjrggANGxsWTBlwXEZXJjHchse6yMrQ5CDZr79Zbb02nn356Dkk4pRy5tQq98KNDXoWThC5YgvJNZgtvaAd+DB0nF8JYzk0kB2effXYOS5OP1mSt1FOgzznnnLzrlSFka36rbLVeV/7/PwRgaBMHDOH905/+NGNYJTC5zUMel52MjNBzzz03R1PqxuX/Sp8cnwqJTY5xmmGtJPzWvWzl9fK5jph8Z0JFPpOjLt8M60ipeNwQsF5j/MkCQ4Zc1MkCsvIbr0xe10zmDQbjBnClIhgiLDjDEJYwrDMEjEGMi7ztxqVS/KT4WEhsUgxTaWRBoCBQECgI1CFQSKwOlfJdQaAgUBAoCEwKBAqJTYphKo0sCBQECgIFgToEConVoVK+G0FAbN3mDov1Ft3brXVFvF0+L7H5urj8SMFD8EH/4eV0CovqcKxbGwKFvNY23MAKP+cNtlvbkF9eGD/77LM5r7XK6U3a5HrjO4ix025tU5a+t1tH1WfrMvqsbte0bkiIPsFRPv2FY1k7+19kYBgHDnSTG+MMY2Mib1kTC+kq71MWAYqC4rAj0Zlr++23X77fxASoKmMTST67GA899NB8T5DjbORrp5SmLGj/v2Ows3gOO1uev/jFL6Yrr7xy5J4cmEXymWK+//7709e//vV8789ZZ52VD8VtJSd5le0+KzcFf+5zn0vOqbz77rvbGhhRT9278ig1T+Tef//9831Ddgkaz+kZO9cgbDe5uzfMbRa//vWv88aDKvGQH32+5ZZb8nl/X/rSl9IPf/jD9Mwzz2SlHG11jU0L2nfwwQfnMu18RHp+q+IY1wzTO3J3es6RRx6ZYAh3B/ySmyo2iM59euTKuJxwwgl5VyNjqTqXJyN2xRObjKM2Dm02AShhW+ud0OHGSC/3l1BMLDp5vCiuyy67LN/kGvnmmWeePFlYztXJNA5NnxBVwM7ByYsttlg+UQEubkJFOK3eLPwo+ve9733JWYPyzjbbbPkGcsczIdaYJwAAIABJREFUVfGTl3HgAFcnojgSzE3mq6++eiZM49JrUi7l5raIGGM3sxtj7URG1bp7KRe5UpKOQlKWm5kdJYXAYRIJMTF03vnOd+Y88s4666zZCKKEo17XODLJfWduuoeNexaRfXirUeawvSMfx0utssoqWQZgM/vss2fZIDdkJZL/HcZMZmBNZtxY7lYY8hh4R/7J9F5IbDKN1ji2lXJ75JFH0oc//OFRJ3ZQJGuuuWa69957swI0USgTJ9zXndjh9AVhi2FKPIQ//OEP6f3vf39W0HGundMSKBzEHphQHhQ1L8gByy972ctGTl5wWKubzeUNJcN74ZUstNBCI8d8KX+WWWZJu+66a/ZQesU6CNHNyBRbHEfks5va3cNFDvpJlOqyyy6bj5rSLidDINrPf/7z2XuMsh577LHc3jixQ17HU6200kpZsYbXxntA7jPNNNPI+YDO/HPorWPRWj3VKH+qvyMw886ByW95y1tGTj2BTZxZGgaNvIxMB3mTwRgXpEfueL+B92TErZDYZBy1cWgz5eB8O2cnvvKVrxxRcCbJEksskcNA8lCwlLKzE/0WitBnJ2oLb7D0hikhB54V7yGO+YljlZxM4TivwAQ5CY1ttdVWGT8KRl4KnYL3SBPEFSQWHp4T3wNr74wLY+DEjF6TsXP+3rve9a4RQlSW8Y6ji/olCZ67JxhU2xZnJzpQOhIjqO7sRF4gzwuG+iwfr756CDWM5HOUEmyGMSEmY73FFlvksQ+5YTSQBY9FEhKWYOlGaF5a9exE13z84x9PDIpCYsMoRVO8zyxwIYhWReMcPFY6gpPHy5qKxzxUFbZ8LELH4oTXMcUhG+keheCZWkJ8VQ+HAmEUII4gB4qaRb333ntnRR1n4PHIhBSte1U9Mda1NStEEYoLYfDiPE+KQdFrMnYI1JMKjFcQj3FcZpll0u233z4qJNVLuUKEjo+Ksrzrt+ddOfooEi//Yx/7WA4PVvPCx/mLoVSFJ8kbxRz5YIR4nRATOEa5w/Ienthuu+02yktlMLz97W/PBB/hW3k9XYAxEAYp2WFoeqwSeQy8JyN+xRObjKM2Dm2OSWJdh1KiJHkGQhLHHXdcDoHJ40UZOs5GqEweeVnyzmqjVOUZpoSYKBBHAfHGrHMJtVofczYg76GqNOD3m9/8Jq233nqZuODHi7WG8eijj47Cj1WNeDxCw9oQkhRKXGuttdKNN97Yl2diXJCA53ohBW0Utlt44YXTSSedlOvpd+yQjg0G1edWvec97xmlVMkCfGzkEBa0FkZuKN8jjjgihx2rnud3v/vdvK5mnQ2ZCaVqH0+jiuOwyZi+O2ZKeB+GITcMIkYCuZJgySB14DKZMcZe733ve9Mvf/nLsiY2TIIzbH01SZCQiWIjgTUX4UEx9FAygYlNANdcc02eKJ5x5My81p1mkXcY3mFHyQZ2HhQZO8dasYMHpc7zQfw8quOPPz6vq7WGy1yLWKy5nXzyyfmZXNY1HOQqb7+ko27jhFCMG4+J1W48Qwn2M15I1saMb33rW7m8L3zhC3mNCxbVtvlscwevUh51M5iEWqv1whE2PDyk7mkJP/jBD/JOu2p5/bRxKuWFoR2ePCoYnnbaaZmwWuWGN88TJldkkcx4wgSDqE4eJxNGxRObTKM1g9pKyKuvds2o5pnsE6NdH/v9vh9MWvN2wjDyUuTxud+2VfNHGfFe/W16Pkc58d6ujPi9+l6Xt/p7fK7LN4zfBR7V93Y4VPP4PBVSIbGpMIqlDwWBgkBBYEgR6JnEWHxh9Q0pVqXbBYGCQEGgIDDBEOiZxMRUbelsjW1PsP6MS3O44UHq1fdw1celEaWSgkBBoCBQEEg9k5gHr22//fYjd8oPI3ZIym4ui+qeVOtGXi+fLZJaOLVduolYcxBnE2XHWCq7+orvB/0+Xn0Zj8jBVOlLtR8+N5Wq9TRVh3LHa+z1p0m8xrsvTY5JU2PfM4lR0u57sXvKjpZeE2GyU8aNjrZ5Nj3gvbarmo+XaUsqcqrujKrm8VlfeKIev77iiivmLdEbbrhh8nLqweabb54OO+ywfI7doO9fUZ4t1OpvCkM42KnmBlOfm0gwdK+TLeWtO6gGWZ/2O0+QYWHHXBMptrsz8JrsC5m08zNOYGiiL+owB7yaHHtGnvu7muyLcSFfTd7/ZNek00TotKbG3jw3722Dt0OzqaQvzu20q7ST/htL/ea9Ha/33HNP3pU6lrJar60lMeDpWLw0wOGuq622Wvryl788isTk9TvB8fK5qmRNCHeEH3jggfk8NiBV88T16nK99+rvrQ2u/h/tjLpdW6078iqvWn41j89I2dZTbYxwaTVPlKMMSt6WYGeQOU3BVnJbgxHbpptumm/wtR29n5MTovxO787Lc3QPotWfJhIF46QJpy743EQyVu4lclAwLJtK2m8LulMd4nSMQddFeTn6yPg32RcKbLvttstKc9B9iPJs1bbN3vFETY49+T322GMb7YtxcejyTTfdlEmgbi5Hv6f3nUyJwtju388N5v3Up90Uv63z1RvF+ymjl7z64p5GBxMY+ybwMu8dY+bWC7dRDDJNQ2IUJCEAmlMHeFCAdBp3K4npLOHH4Jjci4JiZQVxuNaNsE5+oIQRmu/CekFqFDSLxvXqoxB83wlMhKIegLiONazNTo+oKnn5kBQLUz43j4Y3E+13CvQmm2yStt5665yHhRV9qIIdJOZEcqdRuD9DfQbeu0HaYYcd8g2uJusgkz585jOfyWNS7d8g64ALY+XUU09tVJEZMwbDoIm+ioW+OCTWWX4ha9XfB/FZubwKB+g22Rckxss3z5pK5jGF7B6xJknswQcfzCeuN9kXc1fESJifgu6kR6YXT+VS+nHf5PSW0+k68xxBfuQjH8l6s1PesfymL254d89ekyTmPkiG5aAJeRSJhZXs0FHHmTiXa9ttt83K0530joQJT0xeiuKMM87IN8LKt+WWW+b88iIrgBjojTbaKC2wwAL5+BheykEHHZRvziRc3MuvfvWraaeddsrnx5mszvMymRBDXeLdIUus7gZc9Tp7Tht4R35DOCY/glK+9TwkpU8eK3LHHXfksAlic4imEwYcXKrf7nhnlepjNQWJOaXbqQGscN9J+mKCOq3A2YJNkJgbURkWk53ECPF4kJjHTfzkJz+ZEiS22WabNU5i5lz1zL2q7A/is/kUJGaONpWQGD01XiTWlAFTJTHGd1MpSEzIetKTmA6wLBxB4wgh6zus8k9+8pP5yBzeR5CYWK2YM/LxYvU6CgaROHJIeI615ah/7rADO9ddd9187I5jZJAXAuDhbbzxxvnxDQ6pFAZAJk4AFwuuS8jNSQjqQU7qdac66wsB8ea0j8J3urpjk3gxSM/zl1ZYYYVs2VKmiAjpLrroonmdS7vl45G0xoeDxFo9MWSJ0IUvnPqOLPuZpAhQ2YTJGNS9GAXutOfthfdXl28s32mzE9Jj7MZSVrtred28ZicMGKd2+cb6vb4wXsgzJTPW8uquV64xd5RUk30xjzbYYINMAHXtGMR3og/nn39+Ovfcc7PsDqLM1jJEE8gvA8bcbP19UP8bFyF/j38R1RlUudVylMvLt5wgilT9bVCf6RQRJEa6depBldtajr7wkETMyFrr74P439gLvwolm/91ZdKjIgL9plGeGGJxtIsz3hzCSVl6UaC8AAdIBomxEih5AMgTilxDkQTyYD1wh60ZIEWKy8BQ1qwyypvVFIKmDIOGkJZccskcpqnrEAXl/D55kCBAdD7ew0s0IZGTB8aZpOoOL8D3F1xwQa6bm+v8MYRoELUp2letP0jMuXXOw0POCE2/eI+ez7P++uvnwdLHXpNytc9zuhBV3UuY0jOfCLS66vKM9TvHHTEojJXPYy2v7noGj8OCPWMK3nV5BvGd9nusxwc+8IEsi4Mos7UMMm4dVJi96b448He77bZrDC99YTh67EmTY09+nZfI2G3Fc1D/6wv5suHKIcODKrdajnJt5lp77bUbG3vznFwx1s2Zav2D/KwvNu3RXU2OfeiWdn0RVbNW3m8aRWKemMqTYPUhBCSDrHg1QozADBIL7wExIBUEiAwsDDt1WnhP6MDv5513XiYJnhKFXU2UvTUylqzQH09AiDIezFfNG5/lF/pwGC3PSruRj7KizdrkScSetYOseFZ2LLGceRrveMc7sgeGQO1iI4wULEJul4LE9tprr3xQq0ERr0YwcDM5KbVLL720Yzmt5SuXVysUqcy6lzVFIUxKRl11ecb6nQNoCbN++DzW8uquF1pGLEKuTk+vyzOI77SfB86woGwGUWZrGcp1iKowuz61/j6o/ykXURAkM6gyW8tRhx235m6TY2/MjUuTfTEuHrZJlumyJuaLcpXvcOOmxl67jYV5Tz+1jtmg/tcXMswYU18TeJn3+iDKRofVtZ3utFTTbxpFYuLhlCVPA3FFQgziyzw0JIZE/M5tt+ZAqSMtYLB+PTPJ2lMnEqO4LYzLI2TJsrC5gnBTok5bRjZ1Sd3WnGwUEfqkqKy1xWPLeYjCFQ4LdfI1RWNwvPSPp2iNztoY8uiXxHhe2idcoR1eHk2CWA0OYbDg30rYdX3xHXwRMC9R2KDuhYSFKdWprro8Y/0OyZMBxobPYy2v7npYM1SsPTIo6vIM4ju7LBkFQtRCWIMos7UM5Vo7JUdN9oVxSAGYg61tGNT/6jjxxBPzY+ubGnuhe/LL8GyyL9a7zX3hUfOQgT0onKIc5QolegJ2U2Ov3cpmYJgzUfeg3/XF0pGImbFvAi9jT7fgD8tEdX0QZqRL+02jSIy3RdGb/FUSU6h7lDxWQiN4L8J+PB0hPcrVIrqH2SEkRNbNExM6tLsP8SEVa1l2yAgBEgyeWDsSo/QRlTirwcXeQmBChPEEWSBRlB7vYG3Eupm4r3drGKecckqeSDzOfklMfbxSSgxOQo/ag9RhKOyqD/3sitMnpKesupeyrU0SMBtb6vKM9Tt4mjQw8nms5dVdj6zJjlO0ect1eQbxnfaTHyRjjAdRZmsZyjXpybxIQOvvg/rfOiIDT1h/UGW2liMCYf3QHG5q7M0H85LCbLIvoj90E91Az5ibrf0d6//KtRHC896aGnvz3DKDMLJI1Vjb3O56fbHDloFh7JvAy9gzxOlea4jt2uL7ftMoErNZQhwZKamUYvVSsPttPGcIiVE+1qK40lxPVpzOmwiIyfdBYiY6i8iak2vDO0GEhx9+eA4tEGplup6Cs/GjE4nppHYJdRoAW7axOwLjxQnn8cQs7iIxVp/6KIN4aRchoVSnh8RadydqEw/VIyN4aXZg9kNi3QYOvmV3YjeU/u93iqzsTvw/PLp9sqZcdid2Q+n/fqc3Yos9A7OJVHYn9obqKBLjhlvkE0/mZVAEXqwBRINYEJGwl40f1jWEBvxuEiAK60/WqizgChUiGaTioX1CfsqL0Jmt7RZgWYA2UyAWW96RkYXsdp4YUpVfWcpXNwLUJgRqYwhiE0rSZjseWUvyerlOXcpBZLybiNPqG/LxG6KsJgSsjzZzaB+vBXGpO3bdwUk4lUfZ6s1Wy+r3szrgwt0m3E0k2PAs7M70uYkEQwaLBdymbhLVbu3nef/sZz/L8tZEX8ixMIkwTJN9Id8Ww4W+m0rmE6/VXG1q7M0p8utggCb7Yv5GiHeQc7CKvXJtYkP8dEATif5Rtg0e9FlTSV/c7Byea6veG0S9xh6n0M108SDTKBJj7VP81ousaYn5EmqK2YJcbOxAWlxDaz9IKLZnCqHZRi9frIkRKMregq5wpE0ebqrjybkuCM+GEKEM3pPwIiJoR2LaSTkhJ+68ra7ebcywOG1bv4nPQ7RGZVcfskWwXvqoTzaSGEC7KO2Wks8OQW41QudWV1OQWGzsQGZ2SXopT59hx5PlUQ5SGCiZs846K0/+QZZb7R+lLGxhbdHnJhICRvji4wyJppL2ix6YOK3jOKg6lcvoIW9NKX5tJaO8SsZXU0kd1hHN66bG3vzhtYhWNNkXhqmwPoO4ybFn/Io8NTX25rmyLX3QeU0lGIlkWWs39k3oF2NPJ9It5v8g0ygS0xnxSmwpTGjXjXc78BCKcJaYJq8gvC4kwYsRhhRCFCKk0G0OMcExMGuCtao8ZGY3H9KhMFlMNnPYcKEuGzyQGVLhzdQlA8uVdwOoNTwLn3Yk2d1iXU371GuimJji4/Kox0s9HtXNKgSu8ig83qMFdOsP+mkyVBMFrEyWJI9PX7RbG6ztITH3nFGcgwwlaoP+GPymJqU6YEGItd3nJpIJEmPTdF+MK+XclOeqXDLCwNCnppKxoMSaxEtf9MP4Nz32xqXpvjCQmh575ZsrTY69caHPWnXRIGVtvMbemHMuBt2XUSQGGBWYMHas8EgsXgoLcgERnHeN8aLQWSPCeEjA2pIwgXAR78YAU1omhXAL5c5r8ih1+Qy+8lh/brTjziI25VrTahdyULc2Kk/ddkhqp2uBFEnd+qMOZGbNT/2sJ96kcqJ9rmO5sRS8goCjLO/yElz12OjCm/TyWRjONSYPoRiPpD1eEzlFGzu1s5c83fqoDLh3qqdbGd1+76WdveTpVE9c33Rfqm1oh1m0pd3v1TK6fR5EGd3q6PR79KVTnonym7bG+NfhNqi+RDl1dYwHFoOqfxoSi8b3WkGv+ZTbLm+776Mt7d6r1/ncKfWSt5qnU1l+q+aNz92uGeTv6mQ5e/k8URMDhoHg1Y7cI08YPdPTFx4EAyIMk+kpo9s1DCJeBMzb9UX94QF2K6/u98BCX3xuOumHNtf1B6b6wtgci4y5Vh3j0Z86vNRPtjrJYN11M+I7bSVnxr9OzoyTfoxlruiXsTC2Mb4zoq/kSl84BmORr7YkNiM6Ver8X+EysDw7oVZeKqGO5DOP2PEtTiZwh70TSSz8UhS9JAJDiIVTnVjvyDB1SjGJeJiO6nKCi5fwqzVAYeRuSRlCnzxU95w5dUBIWjt5saEUTVKevGOI4sQLW33V0YvCo2RhYc3A6SnbbbddPktTVEAIRjLZrbe63cItCtEXa0y88W4JpiILFr7hIcwd4XURCu3UX9EDu2CF0W3CsIlJJAMOfu+U/K69IhE2TsHCS1miFsZGHutJ8Kn2RX+E5tXfT1IeRWnd205a68MSJSnKIaSvHn1xO4Q1Ygqv32SMREysdYuYkF91k1frz5YojIt3MiaPa+TplJRjzds9mzGusDBn1GdcvGBm7d16uWUMG4pEXMhFL0mfyb22RT3W17WTbJBl5dmkVu2LdXOYhnx0q0t/3XZgOcTJFeb1wQcfnCNa6qDoRafIh35YdnEohOhPr/Pe2OqPSJP20R/GGI5Rhz0Q+gHLeFk+6WWuGDf7DWAR13pXB/xCTmFPr2mD+SSPSJw66oypbtgVEuuG0Dj+TpAoEErYep/bBWyAoOwjCY1an7QOiSBsbrEeGTswI1+7d5OFUhT6RR5rrLFGPkdSvZLf1Yfc3ANI+ChT9/FRdr3swiOIJjZlT0Adyqx9Nv1QOsowuU1a99xZV7WWSlm6MZ2iDhJq1w/f6wclTOHri8lmYlqfRCDagUS02xomEoq+IL524epqnZQlErTeGRt5KBLrofqECCgYuxTloSwZGEhMfxkDfu+UYE6pU14UCOWO8K3NegmFkw03g9o9jFhiXPRnejbJGGOk69QJ67rC8ZLvKTLjQMloC6VJETFAelXKypKXAQA3suT+QwrMuMDLOjZlDCt1kTGy3wuJaad+aycDBg5e7gkN8iDTDDTr3GSLjJE14wZvuHdK2mlZxOY1BhLlrA4yq53Ig3zYZGZDmfGzg1hf1GeO9YKXsUVGyjW2+kCuPVXAfPc7Y82YxzML3ctrfV8+Rl8vfTFfGGM2nqnLPgX/u3dPHX43VnQCwg5MYdjLXCHniFUZca132NnUR29pK1zCaCXnxp8+Yxj0Mu9bx6yQWCsiM/B/QkTpUVwmgne3H/g+kt8JMkuZVUVJ2x2HyFhY3ZJJhWDCmnOygXpim7CJSzE7vYGSmR7r24TiGdjx5F2ZymERUyg25VBUiIYClY9SQm4UnQ1CHsLaLZk0vEnKlTLxonRcj2j8b9LY2GMyBVF3K7f6O7xMYF6X+vRN200+fVG3dlOQyJO1LB8lCWOKjzfQTcko0+4wOMFL263dUtJ2/SqTN8QwsNvXGE1v0hYygNRhY8OVtWVJf7QbmSIg9SIcm5covSChXurWF5vEyJH7RI1/XM/6Z6gp29j3m5Rt4xdlSwbqEpyQlpvRjYG6ebuOQCKDcO40LsaewrVbGsnXkatxMhfJHKJBBv0mfWFUMVC0DzlW2+WzrfyMIjJB0btGvxA4LLW1U1ImPBwrxtsz31uvMVeNO4JDnoNI2s4opZ9EZswVMmEMYEu3qdc8YeD6rt9USKxfxBrMT9AMslAiYaVMbBU20ISB0BFmk59SNYFMLAqTtcN7MomqE6C1uX5TnsnCsue9tJIYYqSUWWwmjHpN+H6Sa7QvFEVYzjwYm2uUy8qnlIURtFseJEDpIe9uSdmu8/I58GPZmRDq5+0J/9gxC1vt6oRPa53yRj0+e8FcONK9j0iTFQ1DdQZpIxmT145ZnpQyOqWow7s6kAdSU4edsv4XWuTtCcHGuMjbT9J/ClDYh3elbfBmUEgMITt546QT7ZGfskQYdcqvtX5tch0PhbKi5OFD6QaJCSf5LYi733HRf6QIcyQWMlDFQ/iKkUSm9EEeBgmZM37kTb3tEnliNCIx79re2k7fISCeBVkgc6152pUf3zO0KHmHQpjLxlrdVVkwV3h6YViox+Y7uBozfeuU4MXwEqaEuXZHW+M6896cN1e0ow7TyNvLOxwYD/Dm/ZIdL0TJW0OU8ugrI0o+m+/6TYXE+kWswfwx+Q0sRSU0FiRGoAk3T8X3JiMhIwAEQ6iB8NVZi61NVpbrKHUKso7EWGMmlnCDe/sQD+vdxK8qitay6/7XHxPERGQZC1+oO2LnJpQy9U+/eJqstX7rUY4JStFT0urlWZj8vA4WKMVGYVM48veS4GXCK4s3ZKKxmq2/8O54E6xkHhN8JGWz3hEE7LSlWzKelIex550KF1szYEH7jSULPzej6wuiZ4xQFNrXLcFT+yg9YU9ExRhyy0mQmNNyhHaE5AIf46ItSIcS1ZZOSVt4JUJrFDy5oRyDxGChfwwa4+T+R6EzhhtZ7la+usmTsC1yVYZ2W1eBHUNCHb5nRFCWMS/0RYibYaOMTnWFcl1mmWVyWJLnZz4iYMRDLuAp/GeuMCLNlWo75OmU/G4+CHfDgXwKEbqf1doe8tEfoVYhRPjom3ZH1ME1+tVpvrhHyzxwC5Cy9cXcJj8RsjT3yBd8zL+YK66tRoM69af6G8zJPqNb6Dp0lZCpdsBQ0h+GhnmLyPtNhcT6RWyc8hPsKokZaBOGNSUEGMLse4JOyFk3hK3bxIkuUMB1JGbSUMiUDA8PqQidhRWnzl6TiUUZmpCUJUWmfAKsPEQWioTy0y9WrRvI9aPTxKy2QZtMQmFEbRZikZCC9TLhMN+bpNaBbDSgaHsp3+TTZp4Iy96J38ZAyNNEpXyF5Hheofh9z6NGbpRGN8y0w9hRzCa9dQn4u1bdsGB5U9ruZ6QIeEzODBX6RWTdkn5Q8jCwdkF5UYSMmCAxfRD648Hqg0RBMkBgSNkop13SD+RgHZTSVZ+2GVNjT4aNN8z0E0kjOPgJnSIB/e02LvJQ+tquDArQQeCseQpT28mQ39SvD5HIHNljSHXqi98Qln7Dm/xYhyIDEVo1ZsjAd/qoHfDzjqjJdKe+wMJygDVDfUEgcPMZLsog12TPRg/YkgXyZPz0F1nDtdO8Z9zBW3RHOxmpSI2RxSASOVCPZQyEDDdyQr6E4hk7/cxHWNNLoiKM6wj5wpweMDY+S/pCDukZhkC/qZBYv4iNU/46EqMgKYcqiZkEBJtSFlrpJszV5teRmN8JlclJyJAK4eYFmMyEvBcloxyTNxQnpWFyRrhEubwZQh6KxIRXpwkUJFZtb6fP2mgCxJpbkImyhZKQprJNfJ6IMJ38lF2nya9Ov2sb0rKgjzSQE2uesucpUcI8pKhXuRSgfMJp3UhMPcbSuFNclDllQ8kIy6lfmbDXDy8WMmJAdk7B6aQslc+LYgHzkLRbWcqgVNShnzBBJr5Xn4QAGE+9kBj5Q4i8OccykU3hYgRA2RoLWCjbb+RAXyhJ5EJxC5t2w8vvsCbDrje+vEfkQUZ9J1ROlshGkJg+krleSAyecK+2E24IAFHxwPVHO9SnL9rBeCEPvP9univ55K046Yf8KF+f4BFzRgRA6LeVxMwlMgJXbegkx7AxzkhMNEEd2so4IWPqRWTGT1+84OZ0FQZVdeyyUHT5Q5bV6VrygNAk5SJHxprPkrEkb7zmQmIZkqnxp5XEQpGyoAlihABMAsKI2Cgok7WbMguE2pFY/B7v6lYHi4zCJHzd6nANRcUj4iVSHKxB3xFaCpTnyBqkCCK/frEETehudWhf9F8Ywhlz1gxNmHbXym9y8mgo86g7+truXXkUmklOWQm1ICg75GLjAwPD75J3CiBIqJtSdo06tA9G+mCRm6XNQIEXjKqJ4mLhCvMJD/m9Xb/9huiMHyUsLC1kxFjgWfoOkSFPChhhR1+0xxhSgiF31XZUP/PURBB4Jrx5nh1vn0XPaIEb/Fvx0BfKlXdpN2jr79U66j7rnzL0ixeDOIUyKUzKPpQ848zYIzoYU7b9JPXYRYfEhECNSzXBX128D4TMeyY37ZL6hfRsuGC8IBJlhFdursPUXCEH5p5rvIw9xc9I6jbvecTaY54gLEk9+hCPjlJ3NemrdvCQzF/6gnz2kuTVZu239h7XMQiQs1sd6BRt0BeEx1MUFu43FU+sX8TGKX8riamWUFE0JimhpFwIWYSEhFdMfoLRS2pHYupRjleYGtHoAAATCUlEQVR8NnkIJSXTjcTUbyIL1wmDIL9orzIJrd9ZXcI02m8SmkQmPSWKHLol5SAUhIf4TFCkZMJot3ZEP6IvfjN5tItiVqe87VKUoa4og1Ky0I88KE1WpDUmlrdJKi8FydqkZIRSu9Xh92od2hmY24bus+/kkdcrMCYPyMF3dWPvO9dZy+OZwNxLWFIfPHUBIVO85CtIMfpCTlj81l19hkO7ZPwQBMVHaXrBwEM9PaKJt0W2yW61LwiTkWOHp7W6TnWouxUv+ZXJY9AvRGnNEJkyMpANGSNrdhLaFKLOTvXAra4e3jhP060IxlkZ0Reflcug4X1Szp1ITPnIiPfLyIjyyKW1NoYZ+eL9U/42ESlfXxkaxqqXjR2uM376DYNoszU+3hLso26/aVf0BZ7G1Fwjg90S3BCzqAgjphrqpq/siBXF0CbYGBdhc/2LsHa3Oqq/FxKrojGBPteRmOaZFARbqIRws9JY4Sx+4Zs6JdauW3UkRngJsxAGC5YiY32zEoWThDQIYqd6TGheBMVO+dnOjNAIrbJCEfLSWPesLxOLxYbwYvK3a3d8T7FbjzAJERnMWJnabeJoB8KiJCg1ffG78A2ljfRMyk59CaKAs7K0XRkUjElqsipXO5Tpf/XzKuCFKF3TqQ7KAi4USbSTJ0E5IXRresjZd9pBmShTyInSpvitA3VK6g9DgUL3ghHMtJPXSDmqn4KhuMiaMUNs+krRKKNTX+CpHDKkDtjAX3nuN4Ih+SG7ZExfvIy9enmesCOHnZI6YCFcBwvlUupkxz1a6oZnhOR8Nm48TYZYhCy79UX/tR9W6tFuXiuPFv76qe3kWz+0QzjR7zwn/5PDTkm5seblWuVYM2QIMCz8b90sCF696tMOkQwkTYY6JXhZx7Omh4TJm74gFB4QHPXVmJAzbZKHVyz0bt0McXYbl5AzMqu9sFN3JFgok74yV/RDf7TBcoMx7TcVEusXsXHKT6mb1HGCQVRLuAgBpSAcRukTAErchOknsfYIJ0vfpJcIKeEVmmQ12yhhsgjBqIuQdZuUFJ0JI0zFS7BY7VovZfEYlUEx8MYongg5IjX907ZuyWTjWQiH6EPgwWp0iwAFg0wRr7rtsKNYhLX0D8bdJiXygJE+8ESVAReeDAKhpFmTFADlycCgGCgXJI6oO1ni+kgBUao8Oe1Th/VNBoC+UGzKsC5JJmBoXKIdCBT59JuUaQzgwbOUjJ36KH9boSkWn2Goj93wam2D/JQwL4DRQBGqlwegLzDzgi85iBteO5GLOoytm2fhEzKqH3CzFqkOZMlgsU4GKzLGMzRuZLxbQsi8OdfCwbjoB1kjo8r3Mt7yaId85orwm9sX9LdbX+RhhFgSsPalPJiTZ8Tsd+PE6yd3MVf0y05IOqFbHeYb4wo+wr1kSBt9ZsCQc7Kq/cqvzhUGM3Ijp93qMd7mFYxik05VX7heOxxAYK6YU+aKsGOEU7uNS+vvhcRaEZkg/xNMk5HiqLrwhMRvhJ5QW2+wlduk7lfBmBxIiQLzWVIGgTZ5EKMFfWsbJouJTzl0SxShEJoQF8VFmONFeamPYJsUvClhLnVQLixQBNZtsmiDayk9nlyU712dlJdyTH4eKqwQm3cejmurk6tdn/SFpagO60fIDy42c1DO0U64GCvrExbLETULnSfXLcGcAaJdwj3a6T4mfeA9hLfIWtZf7TAu1kfJyPSMvTbB31jrC8USSZt5aMhbX4R2/d7L2EcZ8Q4fGBpXOOoL3Ck65SqfV4uIGRy9jj3rnqcIZ2MCE+E9lr12qtdLPmRi/Q/pkWOE38vYywNzMuta9TDOyHYYferSbmOhH0LI1mW1o5exh5N2qks5ttcrx9whP7AjH17qdD8Vj9Z6n3lUlcHAvN27MswHMoSYyBrjiT6J8pWpbH0VwgyvrdexV465Zc4ZYzLWmvRVuxkCcDWfhKHJ8fSkQmLTg9o4XEMYDLZ3Ql5NviNUiIeQUwy+6zcpl5Cpp1qHspSp/Hipr64tdXXGpNS21pdyqvWNpS/arrzWOqqYyDPWvihDmYGF91bMA8vI573azzqcqt9VcYh69E3dMTbR3/i92s9qWf18Vq9yvSJVx09d6qm2I/L1+h7lRRmBlf5V+xLy3ku5UWbgHe1sxbw1Xz99cW3duFTHPvrSrR299EnbAxPltfZFW9Qddcnru35SlBG4V/viN3XGb4FpjFuv9QTmymqX1BV9VU+1He2uafd9IbF2yJTvCwIFgYJAQWDCI1BIbMIPUWlgQaAgUBAoCLRDoJBYO2TK9wWBgkBBoCAw4REoJDbhh6g0sCBQECgIFATaIVBIrB0y5fuCQEGgIFAQmPAIFBKb8ENUGlgQKAgUBAoC7RAoJNYOmfJ9QaAgUBAoCEx4BAqJTfghKg0sCBQECgIFgXYIFBJrh0z5viBQECgIFAQmPAKFxCb8EJUGFgQKAgWBgkA7BAqJtUOmfF8QKAgUBAoCEx6BQmITfohKAwsCBYGCQEGgHQKFxNohU74vCBQECgIFgQmPQCGxCT9EpYEFgYJAQaAg0A6BQmLtkCnfFwQmKQIeneExF62P8pik3SnNLgh0RKCQWEd4yo8FgcmHgKdNX3nllfkhlJ7VVFJBYCojUEhsKo9u6dvQIeCBhB4l/8EPfjA/JdiTkksqCExlBAqJTeXRLX0bdwTiSb9CeZ2eiOvJtn6PfP6PlzIi+ez7ar74re5d/j/+8Y/pK1/5SrruuutSkJjvq6+oW9m+b5eq19Tlqfvdd8qPV7vyI1/0rS6f7+IVOFTb3FqG30oaLgQKiQ3XeJfeNogAhfqPf/wjPfXUU+nhhx/O78J5vm9NL7zwQnriiSdyvj/96U/pueeeS8KASIfyj0TB+/6RRx7J5KT8bsl62DPPPJP+/ve/57LUrx2uVbbP2vjoo4+mZ599Nj8avl2Z8muTa1oJQrn//Oc/cz0eLy/57l//+lfSJ+V791srBtGmp59+OvftySefnKYOdWuz8nz+61//mvP++c9/HlnvU78y4I284draznZ9K99PDQQKiU2NcSy9mMEIIAyez5e+9KW0ww47pK222ipts8026Ygjjki///3vR8iEkv3lL3+Z8+20007pE5/4RProRz+afN51113T0UcfnUkLeVHO5513Xtpll11yWdttt106+OCD07333puVe7suu2733XfP62LahdR+8IMfpEMOOSRdfvnl6cADD0w77rhj2nrrrdNHPvKRdOaZZ6bHH3+8trjnn38+HXPMMemMM87IhBSZkJCyjzrqqHT88cdnwtLme+65J+cPDPTr61//enrssccyGbkOqd14443py1/+cm7Hlltumbbffvu07777pt/97nc5n3q0Sd0XXXRRuuyyy3Kf5P3Wt76VCev222/PZbhWX6KM66+/viMxRx/K+9RAoJDY1BjH0osZjAAvgTL/0Ic+lPbaa69MXhTuEksskUN7PApkQkm/5z3vSR/+8IezMqagP/axj6V55pknf3fxxRdnLwrZnXjiiWn55ZdPm222WTryyCPTZz7zmbTCCitkhc3L4Z3Upfvvvz8tsMAC6aSTTsqelroPPfTQtMwyy6T3vve9uTz/I8Q11lgjLbvssunCCy8c8W6qZfLokN5aa62V7r777pE6EdZ9992X3vWud6VPf/rTI17dF77whdzGT37yk7lORA4DbVEWEoMDYoOV/Ige6c0999zpi1/8YiZL+e6666604YYbZoNgnXXWSfCU/5JLLsltQe4rr7xyxhuZ7rHHHjnPpZdemuuo9qN8nroIFBKbumNbejaOCCAUXouwoPCX8JvwFuWMhHz22ymnnJLmmmuu9JOf/GQkDId0Ntpoo5xPmM+1v/nNb9Iqq6ySPv/5z2ePRJmuP/3007Oy984TqkvIZb755sskKFyIxKyRLbzwwtnrE8ZUh+//8Ic/pPe///2ZIBEncqomea644or07ne/O5122mk5fChc5/vvfve7mSzPOeecTDwIGCnKp3xkJUy4zz77ZPLkOSEnL6SvbfLwzOCz+eabpy222CLddtttmSyRGPKaY4450mGHHZZxkBfWjIGllloqnXvuuTk06nsvfRBiVEdJw4FAIbHhGOfSy4YRoDQRACVqzYbyRk577rlnVsTCaZQ2rwOJ/frXv84KHCEgLqFCZOI6Cv573/temn/++RNiePDBB3M4zq7Dn/3sZ1mpIzf11KV2JMaLQzAIKNqLeIU0heOsvSGCatInYT2eI4LRD3l8xytCtMKlvCyELZ+QJU9RXqFPhLvIIotkD8q1Ubd2IGbhT1gJga6//vo5LIuokJhdlrw9pI4YI8FivfXWS9tuu23GBAn63XWFwAKl4XgvJDYc41x62SACiAjxULrIB1HtvffemRxWWmml9L73vS8rdSRhjUuo76yzzhrZ/HHDDTdkhfzxj388K3XkdNxxx6U555wzh9OQjNfOO++cyWbBBRdMn/3sZ7Pyr+tWOxITSvzhD384Emqj8BGJsqzhqZdn1JqQg3Dd6quvnoTqXHPLLbdkwuEhIWEbOIQrhSY33XTTvI4n3CdU6v+ll146r70py0YRbfz+97+fvvrVr+YQor4Js6677rrp2muvHfHENthgg+TFe6wm5Atr2K699tp5beyqq67KOPNQC5FV0ZranwuJTe3xLb1rGAHKkuL/0Y9+lBUqb+pzn/tcVs7f+MY3sgIPEqPAeRA2U6y22mqZmKwBUdLWe5CZsCGv5vDDD0/zzjtvVvDHHntsan0JR8b2+dYutiMxobmrr756xNvqlcR4Y3feeWcmCx4gwrIZZMUVV8weJe+TNyVciSj333//Ue1FyLDgfQr18Satda266qrZ+7LeJ88mm2wyDYkJs9qEgihbE9wZDq61vrbQQgtlor/11lunCYu2Xlv+nzoIFBKbOmNZejIDEEAElLr1HJsf7IwTEvSdkJvNBohNeC0IyiYHCttORB7ZT3/60xwy5OHw6ngZduBZ1+JdKIuXJPQWL3nVXZcGTWLhae633345vMcLQyx2AyIXIUKhUv1ExjCIdsa7Pmmz/4VOkZ1TRSLM6t0GEeHEqieGxHhzdSQWBoQy9dn6GOMAiaqvHT51mJXvJi8ChcQm79iVlk8ABChK9yjZ0EABIyvhrAgv8n6Eu9znhcSExeyosxXfBgaeme8oYp4awuCt8JhspjjooIOyokcArvebsiNvHQSDJjFkwRv7xS9+kb0vOwvtmuQBRehOm4QGkZMNH0Kn2qrN2h73mlm7+sAHPpCxsl7Gi/Oy81G40m+9kBgvDFGpHxbejQNiRZJIX5tLmvoIFBKb+mNcetggAkhH+I/itO5z9tlnZ3L68Y9/nO/9skbEQ0NulC0yC2VtY4Rdg7a78854MJQx5UvZW1NCFrbCu69KSO+aa67JmzPuuOOOkbBga/dskrAppHWLPYJwfWzeQMAIxoYKGzsQad2aWJSPcJEEckXESC3Kcp0NKMKEwqff+c53krCeHYmwgAtvDZm5L84mE7cQCDHyRK3LKRdWytU2oUIbRdxr1uqJwdxOT2FVmz4YBLzXCGci1eKJxchN7fdCYlN7fEvvGkYgQloUqbUtmxuWW2657JnxooS4rIFRwjwHil0o0XoSUrGWYwceskJ44cUgBYTnBmUhMr95uW7jjTfO62ftPA1hTPmEKilz3hDvye7Cm266acRDQcB+O+CAA5L7uhBMuzLByLs69dRT8+5Km1CsgwVRKEubb7755kw60R9tjnu5kJjyYSX8atchvPQPods0YocjQlIeMva/TTIItprUjQxtnFGHcvRZOby62AVZvaZ8npoIFBKbmuNaejWOCCCyCIm5aRh5WMviTSEUW9CF1nhSlP9uu+2Ww4W8FN9R6k6kEHrkfbkmQnjWw3hoyJB3I99vf/vbTE4UfV1CRtathCmRFOIQaqPchdniuqjjgQceyG1EQvFbXblIzMkdtstfcMEFuU/KqCb95HXyrnhfXjZyuB8tQo88UgTlpmV9ihP3eVdCjMhOufrhBBD4uaaaeJDy2lBjk4l71YRg1a0Nre2qXls+Ty0EColNrfEsvZnACDj6yX1VwmUIgRfjhWRsbLAJhOchbDdREjJAbNrIM3RqCM8RgRSimCijNNztKCQ23ONfej+OCPA41lxzzXxGIG/KLkbeGm+DR+IECpsjeCITJfHOhO54a9/85jfTkksumT3NidTGiYJVaceMQaCQ2IzBvdQ6hAgIE55wwgnZk7FZwWkeXm70tV7lnjEhv9bQ2YyESkgPsdrmbg1Pe4UmhSlLKghMBAQKiU2EUShtGAoEhOWs+9ghaOegnYleNks4AZ/HI2w3kdL/a9eObQCAYRCA/f91xdAfgvAHxQwMTf7Q8v+VIcvRSS4Q/0XipXd6y66AEdvtXnICBAjUCxix+goFIECAwK6AEdvtXnICBAjUCxix+goFIECAwK6AEdvtXnICBAjUCxix+goFIECAwK6AEdvtXnICBAjUCzyB8dfZ/2qCZQAAAABJRU5ErkJggg==[/img][br][br]Twenty people—high school students, teachers, and invited guests—attended a rehearsal for a high school musical. The mean age was 38.5 years and the MAD was 16.5 years. Which data set matches and why?
[br]High school soccer team practice is usually watched by supporters of the players. One evening, twenty people watched the team practice. The mean age was 38.5 years and the MAD was 12.7 years. Which data set matches and why?
Another evening, twenty people watched the soccer team practice. The mean age was similar to that from the first evening, but the MAD was greater (about 20 years). Make a dot plot that could illustrate the distribution of ages in this story.
Here is data that shows the numbers of siblings of ten students in Tyler’s class. Represent the data shown with a dot plot.
Without making any calculations, estimate the center of the data based on your dot plot. What is a typical number of siblings for these sixth-grade students? Mark the location of that number on your dot plot.
Find the mean. Show your reasoning.
How does the mean compare to the value that you marked on the dot plot as a typical number of siblings? (Is it a little larger, a lot larger, exactly the same, a little smaller, or a lot smaller than your estimate?)[br]
Do you think the mean summarizes the data set well? Explain your reasoning.
Invent a data set with a mean that is significantly lower than what you would consider a typical value for the data set.
Your teacher will give you an index card. Write your first and last names on the card. Then record the total number of letters in your name. After that, pause for additional instructions from your teacher.
Here is the data set on numbers of siblings from an earlier activity.[br]1 0 2 1 7 0 2 0 1 10[br][br]Sort the data from least to greatest, and then find the [b]median[/b].
In this situation, do you think the median is a good measure of a typical number of siblings for this group? Explain your reasoning.[br]
Here is the dot plot showing the travel time, in minutes, of Elena’s bus rides to school.[br][br][img]data:image/png;base64,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[/img][br][br]Find the median travel time. Be prepared to explain your reasoning.
What does the median tell us in this context?[br]
Close

Information: IM 6.8.13 Lesson: Median