[list][*][math]0.5\cdot30[/math][/*][*][math]1.5\cdot30[/math][/*][*][math]100-1.5\cdot30[/math][/*][*][math]100-1.5\cdot18[/math][/*][/list]

[table][tr][td]If your teacher gives you the data card:[/td][td]If your teacher gives you the problem card:[/td][/tr][tr][td][list=1][*]Silently read the information on your card.[/*][*]Ask your partner “What specific information do you need?” and wait for your partner to ask for information. Only give information that is on your card. (Do not figure out anything for your partner!)[/*][*]Before telling your partner the information, ask “Why do you need to know (that piece of information)?”[/*][*]Read the problem card, and solve the problem independently.[/*][*]Share the data card, and discuss your reasoning.[/*][/list][/td][td][list=1][*]Silently read your card and think about what information you need to answer the question.[/*][*]Ask your partner for the specific information that you need.[/*][*]Explain to your partner how you are using the information to solve the problem.[/*][*]When you have enough information, share the problem card with your partner, and solve the problem independently.[/*][*]Read the data card, and discuss your reasoning.[/*][/list][/td][/tr][/table]

[list][size=150][*]Interpret the measure of center in terms of the situation.[/*][*]Interpret the measure of variability in terms of the situation.[/*][*]Compare the two data sets.[/*][/size][/list][br][size=100]The heights of the 40 trees in each of two forests are collected.[br][/size][br][table][tr][td]mean: 44.8 feet, standard deviation: 4.72 feet[/td][td]mean: 56.03 feet, standard deviation: 7.87 feet[/td][/tr][tr][td][img]data:image/png;base64,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[/img][/td][td][img]data:image/png;base64,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[/img][br][/td][/tr][/table]

The number of minutes it takes Lin and Noah to finish their tests in German class is collected for the year.[br][br][table][tr][td]mean: 29.48 minutes, standard deviation: 5.44 minutes[/td][td]mean: 28.44 minutes, standard deviation: 7.40 minutes[/td][/tr][tr][td][img]data:image/png;base64,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[/img][/td][td][img]data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZUAAABMCAYAAAClHSpoAAAapUlEQVR4Ae2dZ4wmxdHHkUB8QhxIIJIECAEmcwSTozFB5JxzjuIQwdjGHEkgBIicERkEQmQwNgg4gogi5ySCAINJH7DJMNbved//bk1v98z088zs7e1VSbM9T3d1VfW/q7om7wyFkyPgCDgCjoAj0BICM7Qkx8U4Ao6AI+AIOAKFJxV3AkfAEXAEHIHWEPCk0hqULsgRcAQcAUfAk4r7gCMwzhC4//77i9/97nfFSiutVEyZMmWcjc6HM9YR8KQy1mfI7XMEMhB49913ixlmmGFom3XWWYuPP/44Q4KzOgKDIeBJZTD8vLcjMKYQOO6444YSipLLKaecMqZsdGPGNwKeVMb3/PropjMEXn755RFJ5Z133pnOUPDhTk0EPKlMTfRdtyPQAQK33HJLMccccxRzzTVXceedd3agwUU6AmkEPKmksfEWR8ARcAQcgUwEPKlkAubsjoAj4Ag4AmkEPKmksfGWBgh89dVXDbiGWb788svhH77XGQI//fRT8euvv3YmfywI/uSTT8aCGZ3a8NZbb3UqvwvhnlS6QHU6kclTRTxhtOiiixYPPvhg5agffvjhYrHFFuvxn3zyyZW83jgYAldeeWUx44wzFjPPPHNx/fXXDyZsjPY++uije760wgorFC+88MIYtbJ/s/773/8WW265ZW+M22+/ffHLL7/0L2yUe3pSGWXAx4u6m266qefwemyVm8IEQoy+//77Yt555y3x33jjjTFWrxsQgWeffbaEM/PzyiuvDCh1bHU/77zzSmNceumlx5aBLViz8847l8a4zz77tCB1dER4UhkdnMedltDpWbxuu+226DjvuOOOUoDAu+OOO0Z5vXIwBE488cQRWJ9++umDCR1jvf/whz+MGOOTTz45xqzs35wff/yxmGmmmUpjnDBhQv8CR7mnJ5VRBny8qHvsscdKTr/KKqtUDm3VVVct8T/yyCOV/N7YHwK8PT/77LMPYT3PPPMUufe9+tM8er04eNEZMuWmm246espHSdOxxx5bGiMHC9MKeVKZVmZqDNrJOxDLLLNM76zjX//6V6WFn332WbHTTjv1+G+//fZKXm8cDIGnnnqqWG+99YoNN9yweP755wcTNkZ7X3vttb3vm+27774Fl1fHI02ePLmYe+65i2ntiwieVMajN/qYHAFHwBGYSgh4UplKwLtaR8ARcATGIwKeVIqi4FPhXdAHH3xQvPTSS41F//3vf2/Mm8PI8/zPPfdcTpfGvM8880zx+eefN+L/97//XTz99NONeGG65557GvNymaerr/HmzAtPWr3//vuN7OZpuZx7S/jpb7/91kj2G2+8UTT95hfvtNQ9Em6VPvTQQwU3k5sQX01+/fXXm7Bm8zz66KPFt99+m91vWupw9913NzY3JxYbC+2DcbpOKlx7XmihhXo3xNZff/3kI7F94Fqce+65QzfajjnmmEoRJJ7FF1+8x7/WWmsVX3zxRSV/TuNll102ZMdhhx2W07WW94ADDhiSfc0111TyX3fddUO8+++/fyUvyYEb/9yEXXbZZYu6F8AmTZo0JPvSSy+tlJ3TyA3utddeuyeb/09S9z6Evbl6zjnnVKq69957h2zebrvtKnm5Z8D9EfBYcMEFiyeeeKKS3z4Bdtppp1Xy8v7QfPPN15O92Wab1SatLbbYosfLAwB1iYinznRD/fjjj6+0I7dxhx12GJKds/Dm6pla/BwQTJw4sTdG/i/ORx99VGlKTixWCmqhcbpOKsstt9yQY+L8TEwb9OKLL5bkIpuP/KVojTXWKPHvuuuuKdas+vB/a2DH1VdfnSUjxXzxxReXbEZ26g1nbuLTbrcLL7wwJbrYZpttSrwk/BTZZCX5b7/9doo9q3733Xcv2bHaaqsl+/PwgfSrTN0k52xDC7l4qxbdgw46qCSbRJsizmYkUyVP6qWIF1fFR3nkkUemWAu9cCj+hRdeOMn7+OOPl+TS57777kvy5zSccMIJI2T//PPPOSLGPK8OIoT1VlttlbQ5JxaTQlpsmG6TCmcDmjCVyy+/fCvQxha6v/3tb1HZHIXy9rNsoFxkkUWivLmVsYWOo/o2yB4ZyfZ//vOfUdEPPPBAaXzw77ffflFeKsMFd5ZZZknyHnXUUSNk33rrrUn+nAbOTjQ2lf/5z3+iImILXers7dVXXx0hd+ONN47KpXLFFVccwZ+65HjmmWeO4E0lcC7PalwqOVNO0TrrrDOC/7333ouyxxa6tt6X4YxK9qrkk//jifjnahobJWeGKTrwwANLvPCnYjElo8366TapAOKf//zn0mRUnU3kgr7mmmsOyZ5//vkL7iekiM+WWAdq62wCffaIZ8455yxYSNogrtlbx+eySBVxpKUxkiRee+21JPsll1wyxEufM844I8nLZQHe5pfsqrOapJBEQ3hwUPWuAJfKuDQlO1ZfffWE1P+rJqmKl7Lq3/6SJC3vn/70p6TsH374oVhiiSWG+Dkbr6LDDz98iBcdXJZL0T/+8Y8Sb93lVD6hIrtJ0KkvLqT0peq5lyK5lNPS2+apMYX1Z511VmmMF110Ucgy9PvNN9/MisWhjh3tTNdJBUzPP//84o9//GNx1113tQrxd999VxxxxBHFnnvuWaSO5qxC7gWsu+66lZfJLH/TfS61cE9nl112af2GKZf5eDP+L3/5SyNz/vrXvxZcC09dFrJC+IwLR818x6qOSHBcMuTyTNvfSGJBZ15IdHXEDfq99tqr4GwwdUZjZXC/Y5NNNqlMKOLnoQUSJp8oqaNPP/204L7VwQcfXDT5gCcL2EYbbdTo6JbLa/ByRlRHX3/9dXHIIYf0zkrbfoiCBxx46fHUU0+tM2OabefgkoPTG264oXYMxCKxRYxNbZruk8rUngDX7wg4Ao7AeEKgNqnwSQSOONomrgmnvhU1qC5uTHb1mDA21z2J0Y/9nNl0hQdPLXUlG7ncI+iCkN3FDVgeYOgKDy4f8VRhF4TNHovDyILHhx9+OFzR0t60HItVl5UHgScnFmuTytlnn92ZI19wwQWDjDPZt8ukcvnll3eWVOoe/0wOuKahy6Ry8803d5ZUTjrppM6SSuomeg2Utc1dJhWPxTL8V1xxRWdJZVqMRb4c3lVSyYlFTyplP6395UmlDJEnlTIenlTKeHR5gOdJpYy1J5XPPy/8TGXYKTjlnhaPjjypDM8he55Uynh4Uinj0eVVg2kmqRx66KHF5ptvXmy77batbjy5weOObctFHs/T89REF7J5TJJ3CtqWzSO3Sy21VOtysZOn2/j0fNs2I2/llVcuNthgg05kL7nkksXWW2/dumyeXvr973/fulzw4FFi/t9HF1jz0qPH4vA65LE4jEXXsch62vT+Zu3lL55j32OPPXqPKPKYYlvbbrvt1gvAtuRZOQQeC7+ta2ufx1z5B1VtyZOcvffeu+BzDPrdZsnCzOOobcqULD6xjkPrd5slL/3xafM2ZSKLx6A58GhbLvJIWPwb2C5kc2DgsTi8BnksDmOBvxGLfPKnC99rNan4zcHy6avfUynj4Ze/ynj45a8yHn75q4yHX/4qisKTStkpPKmU8fCkUsbDk0oZD08qZTw8qXhSKXtEURSeVMqQeFIp4+FJpYyHJ5UyHp5UiqL3ZdGuXrhq66ul5Wkrii4dGZu7evmxKzxw5K5kI7erlx+R3fTmYOgDVb95+bFLPLp6+RGbPRaHZxY8unr5sSv/6DoWu3pPBTyaxmLtjfrhKfQ9R8ARcAQcAUegGgFPKtX4eKsj4Ag4Ao5ABgKeVDLAclZHwBFwBByBagQ8qVTj462OgCPgCDgCGQh4UskAy1kdAUfAEXAEqhEYkVT4F7S8bRzSVVdd1fvPdvx3O/b7Id7OZ7P08MMP9/TNNttsvZKnI3Lpm2++6b3FnOpb116lT/aFPMjknzGBx4QJE4qU7rCf/T158uQReCCXf+zFJzkWWGCB3ntCtk/dvuyN4Skc+G95vPXN7xzinaWJEycWyMZG9acEC9rAI/dfFtMfefRl41/zxgi/C/0nxmfrwIOxYjP24d+WhBdzWPffK20/9rFH/2IXHdYH0IM+5pA2/oFXU4IXPLA5xFp6hVVuLCq+8QHsY05FwgKdjMuORzxVJf6MTGSn+jPXIVZVMmmrw0P+Bya5sSj/wObQ9+SX/caiHRd+a+dKOPQbi5KNHIu1sGAeGE9uLEoupfzB1mm/KhZLSYWBE1gM1BLCARaD2dinrilp4HxiYu211y51wxEVcDgxTpFD2EHgYnfKJtrQm2pP6SPgGCtbSMjD9n4IPAgsZIR4MAcKdPgYW05w0zeFJ7rk2JSh7qqxYAuyKSH2tQhjn2ymjXr7u0oubcyL5gb51k71RQf1OTbTFzssHuCpMaCTuc3BV/ZQMv+SZfGgzuqxbbZ/ah97hAc8Fk/ZjA623FgkqQgP2anxDxqL+BQyIWTGYrmfWMRe+S2yiRHWEhE+0W8shnggizrpkR+HWEl3kxJ5oY381phyY9HqDPEEd9kMn/Ud269uX76FH4eEDuxni1Epe2iQYVIJsyx8dlJjgm0dBgIsAZEyRPwxR1RbrGSAOB1OZQNRvOjF/lS7+GKlnCtMKgI11qdJXRUe4Cq9yMIpYuNqogcezaWCwvbDYbTA2Pom+1VziVP3G+Topm/YH7/B1jr/qbOd/sJzUGxDXfIT7NQ+PIP6C/GGD0ODxmJos8UjbMuNxbC/fE/1g8SiZFAiR34wKLZWLvvEnxblNmJRvoDN8um2YrEJnv3GIrGB/HAOwQjsq2KxlFQEcCgodLyqBUUyYmVdPwyNZcaYrLCOCdNioTZNKJMYaxdfXSkHFh+y2Ah2LtXwv6T7oRgeBAkYIBPZOck7tMHiGdMVzmvYv+o349dCF/Jhsw5QwrYmv0O70KNAD+eiiTzx4Ad2ocTPwQic2djvl8IDLTDgbPSOO+7oBSHzmkvYS38SlPqH2MTmtYkexnrOOef0ZKMnJOs7YVvdb2zi8p31D+QxjkFiUXiAAQse1FYsYh8xJxuR3UYsYitywARbodichfPaY6z40xTPfmJRyQr1YS5oEotjJqngMFwHBPB+iAkL+2pCkRdrb6oHOZaQxcLPQoJOJk4OY/nq9mPOBQ4EJM7NAqjgqZMVtod4xnTlOrJ0ECQ2+FRPCSYhXra9bp/+HCWJsNv+HkQ2cpAvImCYO3SAM3MKbrmkBZhShEzksZFccuWCMWMFZ/xB/cM5i82rbEiVLAzIwb9ILCGFvhO2V/1GruzGNhF1jAnqJxZDPIR1G7Eon2WuwENYUw4Si/YsASy0RsTmDHwsXsItVTbBU+NKyYjV22RFu00q2NckFsdMUgkDPjbgqrrQUe2E0i9sr5IVtjGBlpAlB6Ee58MhcynmXCxyOipHLotKjrPJhhDPmK5cR0Y2wc1YtUBIn9pSycbypfYJAttf46cUhXOh+roylvhtwNCfxdYmnTqZtGObDXDqlGRkdz/BbXXjDwrmcM5i82r71u0jV/4m3tB3VJ9TMnb8BCzajEVsYMyKt7ZiUWNj7IrtQWKR+MCXRdgsubE5C+dV/WJlEzylXz4YkxOrC31ZMYIcG5v0hTdGjZKKPeVBCEEC4LkUAxMZyMoN5lA3E4Z8kY7GGDgbTggo/egJwQsnVQEk3U3LGB6aRMkIdam+qozhiY320g/9FfRVsmxbXUIBp1wnlnzmJXRa9Gn+VDKGcD4kI1WCR8xfQzxykwpjxRbstBQudLSFuix/3b6SFHxtxaJ0hrbGfEe8uSXY4ONtxqJsUJyE8dFvLEouZ6xK4NKhtlCX6mMl/iyfpcS3iTf2B43FOjwVN/3EorWZfTCg5L9Khm2pWGyUVHRKRMnW72Wq2CKKE3OKOWXKlKENHbkUJpWwf117yG9/A6YlOa4WEyaZLZdieNijRPRw6SQnEVbhSZsudxAg4biq7GdOeNSU/nausBEceHyR6/+2rUqebWN8yG7SP8dmdDBm/NXaJf/CJ/A9iLqcJMu4kZvCwyZI5hnZTYmFTTaiBxvlX9Qjm5ItNxbBGpkaM/11ibXKd+psxxbFA7was3TZ/rmxiFzki+ivhR/5YCvdubGInbJReCreBo1F2UuJHuwWDRKLkqHS4jloLEqmyjCxqp4yFYvRpBJjxvGoZ5MTWgVN9hmwgkP8kmlLTap4mpT0kWPF+OvaY31UF9pMPbpwOuymXY6pPk3KGB7IweGEB4t/DqmfLYWnlY2OHJuRYWVqnzGk2praDX6SZ8tY/9hcxPhUZ+VpX3jAQ0CqnsBvSoxb/WxJPWTjBT+xi2KdjhBPbLRzZWXnxqL1Ley2/e04tG+xqrKb8Ske6IseYRH2Q2aqLeTlN/MieyhDPJAl3bmxqIMrybfjtfFCe24s2rFgY0p2bixauexbPNnXWGwZ9mn6GxkpSsViNKmkhHi9I+AIOAKOgCNQhYAnlSp0vM0RcAQcAUcgCwFPKllwObMj4Ag4Ao5AFQKeVKrQ8TZHwBFwBByBLAQ8qWTB5cyOgCPgCDgCVQh4UqlCx9scAUfAEXAEshDwpJIFlzM7Ao6AI+AIVCHgSaUKHW9zBBwBR8ARyELAk0oWXM7sCDgCjoAjUIWAJ5UqdLzNEXAEHAFHIAsBTypZcHXLzCczcj5f0a01edKxne9I8a0gPmeROxY+iWE/GVKlnU9HTAs48ckMMOG7ZjmfgKkaO218EiU1fupzPglTpwt5qc9xVPWtsrGqn9rwB/tZE9WnyrbHndLj9fUIeFKpx6gTDoIuXGj4fhHfNRpNwoY2FiG+WKqkgDwW/pxvJcHb9KOLJK4QuzrMZFsdX9P2ugUPDLCTxY4Fkq0twkdSGIB7mz4EzlXff4qNibHygdHcObKywDfny87MLx/adJr6CHhSmUpzQNC0Gfz9DoNENkjwo5f+LHKjRakFNaVfSS7VnltPoqhbaFnk6nhy9Yofv2HBZeEOk9VYSCrY19XYhUGsRGfOgUxMhtcNjsDorQSD2zpuJLDgsCCss846vX9jq6NeSrvAE5wsiHz6HF5KFhEWNT6Jr/7hwoIM9dGn7mPgIZ9LM/Dy73StbmxsIgNb4GOhR0ZqLAR7OBZ+i9hXX+osL+O040AX9qFPuFjbJZMS++ABb/jZROA2adKkXjultYc2yac/7cKeS1oxeZKLLVanHVeIq507YUCdsJdMWzJvbByZU1qKJZVQp+VnH/ukjxLMRIwFmZRVPid+Ss447Zjpi0zqwAU51FmMQ73CQnLpSx1+hAy28N94w8O8OE1dBDypTAX8CTA+d82mgMOMcEFg8aSORQE+FhEWNNVRHy4s1OlSFH3gRU+MaEcHgcq+FlUWKhYG6eVsBr0xUqAjBxlakGJjwVYCHz5ssgsAdfSBWGxIdrILO9gXoQv7sJN+tFEn+8VHKfvQDS8bhA70SwYluFEPcR9BZ3H04Tey2LA9lNfr9P9/NL/iESbCVRiEuKIHnOnHmBh3jJDDhlzGLfnwhrjDh7yquWRssol9sBcO2AROVgb7JIYYySb1hwcbkEmJPM0XY1VdlT9oXNiBfcjAXvm57EBniIfavBw9BDypjB7WJU0EE5ulcEEgQAgeEcEULp60azGGLzxKVKDFFlz4kYdcEXyhjphc8VPKLlsXG0u4SFrdyNA4YguTlU0/FhdL9LWJx7ZZ2aqHl0XdkhZz6pBnsbd8zJtstfV2P+RhHlhYbQKA386XcKSsIus77NuEj13UQf3MJf3CeQn9QXbGbAQzcLSEPWEdv8ODnVCvxZh9+xv5+EDoB8hNzZu1yfe7Q8CTSnfYVkq2C4MY7YJAnQ0yfseCmTobbPThUo0u9VCGcqSvqQ74WAC0WNn+7Mfsio3FHr2GusNx6MiVy15V/WRLqE/1ss9iRB2/uYRiceK3FjoSILiFl2XoCw6hPKsvxhPDCD67MKZ4YrI1F2Cjszb4LA4peeFcIoP/uiksOCOgL0SJ/JDAJkYxbKiTvepj7VSd9VP0Woxj/DFdMT7J93J0EIh7xujonq61NAk0G2SAFVskbPCxONBHsm3Z9EwFeSwqISFLC27YFrMrDO7YImTHZ8ch+dRxNsFlDnv0afuJN9SnesqYbPjVx+Jk9YAZbegn4Si5UUffKgp5sIEzlZDgE67wxHCK9aGfSP2wV2Oijfq6ueTMCbuwgbM3yaKUjNhYU3aG40YGddZe6qydPUXBQRT6rd4Yf0xXjE/yvRwdBDypjA7OI7Q0CbRw8VTAW2Fh8IV9LG9sP+RPXXqqCtaYXSF/bBGyusNxWFtlkxKj7Se+UJ/qKWOyWUTDSye2j90nmSBfl9dii5nlZz/k0RiUmMRP0oQXiuEoPlvGfIexkPgsDimdlsfuS4fFN4YdfLH5pB6MkGkpZm+u3hh/iDE64dM8WRt8f/QQ8KQyeliXNBEQOkJVQxg4NrjhiS06YdCzuHCN3S5eWoylx5botEfntHFdmktoIi1OKTkxu2JjkTyVdnx2HNhu7WcfXtXZfpIV6lM9JbI5Gld/1XEGwthEtIsnHKtd/Lk0FjsDkBzK2IIHrlxOE4W4xnAUry1jizR2Mx7sol2ETi5riUKd4GaTKwuyxdfOi2RQwhOj2Bhi9sbmq0pvjD+GsZURs8/rukcg7hnd653uNbBosQiQABTUYeCEARIL2DDoWVxYAOnLkSuLaeyauCaAhCJeJRcWHhYjFijsw87wJrv6U8bsio3F9mHfjs+OA/3oxH6NwS6Utp9khvpUr1LjQZ6I8WohZpzIRTcEhowffkrkK+FQgqnaJc+WsQWPOUdOCtcYjlam9mOLNG26D2SxqptL+ghrMOBABxuxBbLzIv2UYJWi0F9i9sbmy85rqDfGH2KssaTs8vrRQSDtGaOjf7rXQvCER8VtgMLCh2wtklUy0Q+vFk3x0rdJf/G3XWITW1uUGg/1sfELl9T80KcffFJ2tDXOmJwqnfKV1Dhj8qrqOEgKz8Kr+Ntqy7mk2ZZOlzMSAU8qIzHxGkfAERgAAZIUZyv9JNx+1aILneGBUb/yvF//CHhS6R877+kIOAIJBDjraevMJ6GiVD3a+krK/UcJAU8qJTj8hyPgCDgCjsAgCHhSGQQ97+sIOAKOgCNQQuB/AvQzhM8Mt0MAAAAASUVORK5CYII=[/img][/td][/tr][/table]

The number of raisins in a cereal with a name brand and the generic version of the same cereal are collected for several boxes.[br][br]mean: 289.1 raisins, standard deviation: 19.8 raisins[br][img]data:image/png;base64,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[/img][br][br]mean: 249.17 raisins, standard deviation: 26.35 raisins[br][img]data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAdsAAAE7CAYAAACVPiu2AAAgAElEQVR4Ae2dz4tuSXnH2z9A7v0D1J4Zs8mqe+FG1Ok72g2zGJgeIoQQmDuEuNBNTwxjCEG7swsI3ruZVYRumMUQDdzrwpBN0o2CMJLY4Ya2ZUCbiQqCktYI6mLwhO87Ps3T9VadH+8571t1zvspOPecU6eqnuf5VJ36njpv3/fdqEgQgAAEIAABCCyVwMZSW6dxCEAAAhCAAASqWrG9urqqzs7OZhusIAABCEAAAhBYjEBUbK+vr6t79+5VW1tb1YsvvjjbFmueWhCAAAQgAAEIRMV2Z2enOjg4gA4EIAABCEAAAgMQmBPb8/PzanNzc4CmaQICEIAABCAAARGYE9vDw8PZa2N9XntycjLb9FqZBAEIQAACEIDAYgTmxPb+/fvV/v7+THAlvHqdfOfOnUrim0qXl5fVl7/85VvbZz7zmUpbmH9xcZFqhnwIQAACEIDAJAnMia0+r9XmkwS37jPcH/7wh1W4ffzjH68+9rGPzeWrHAkCEIAABCCwTgTmxFarWW0+HR8fzwmwvx473tvbq3Z3d2OXyIMABCAAAQisFYE5sZWw6r/9+KRVrV4vd0mIbRdalIUABCAAgSkTmBNbBav/X3t0dFTpL5MfP35c3b17d3bcBQRi24UWZSEAAQhAYMoEomKrvz7WatY+vz09Pe3MALHtjIwKEIAABCAwUQJRsR0iVsR2CIq0AQEIQAACUyCA2E6hF4kBAhCAAASKJoDYFt09OAcBCEAAAlMggNhOoReJAQIQgAAEiiaA2BbdPTgHAQhAAAJTIIDYTqEXiQECEIAABIomgNgW3T04BwEIQAACUyCA2E6hF4kBAhCAAASKJoDYFt09OAcBCEAAAlMggNhOoReJAQIQgAAEiiaA2BbdPTgHAQhAAAJTIIDYTqEXiQECEIAABIomgNgW3T04BwEIQAACUyCA2E6hF4kBAhCAAASKJoDYFt09OAcBCEAAAlMggNhOoReJAQIQgAAEiiaA2BbdPTgHAQhAAAJTIIDYTqEXiQECEIAABIomgNgW3T04BwEIQAACUyCA2E6hF4kBAhCAAASKJoDYFt09OAcBCEAAAlMggNhOoReJAQIQgAAEiiaA2BbdPTgHAQhAAAJTIIDYTqEXiQECEIAABIomgNgW3T04BwEIQAACUyCA2E6hF4kBAhCAAASKJoDYFt09OAcBCEAAAlMggNhOoReJAQIQgAAEiiaA2BbdPTgHAQhAAAJTIIDYTqEXiQECEIAABIomgNgW3T04BwEIQAACUyAQFdvT09Pq7Ozs1tY12L29vWp3d7drNcpDAAIQgAAEJkcgKrYbGxvVzs7Ora1r5IhtV2KUhwAEIACBqRKYE9vr6+tKYts3IbZ9CVIfAhCAAASmQmBOVfUKeWtrq3d8iG1vhDQAAQhAAAITIRAV2+3t7ero6Gi2PX78eKFQEduFsFEJAhCAAAQmSGBObK+urqqDg4Pq8PBwtumzW4mvXi+n0uXl5Y04m0h/+MMfrp555pm5/IuLi1Qz5EPghsC//uh/q53X38q6/c2/X934wwEEIACBPgTmxDbWmAT3wYMHsUuzvJ/97GdVuKnOs88+O5evciQINBF48N2fVHtf/c/q5W+8nWV74Y0n1Z/9Mw+GTf3EdQhAoB2BVmKrVa5Wu10Sr5G70KJsSEBiK8H7yvd+kWWTyCO2Ya9wDgEILEqgldg2rWxjxhHbGBXy2hJAbNuSohwEIDAGAnNie3x8PPucVV9qcXJyUu3v78/+OrnuM9tYoIhtjAp5bQkgtm1JUQ4CEBgDgTmx1R9I6bXx/fv3Z6+O6z6rrQsQsa2jw7UmAohtEyGuQwACYyIwJ7ZDOY/YDkVyPdtBbNez34kaAlMlgNhOtWdHHhdiO/IOxH0IQOAWAcT2Fg5OSiGA2JbSE/gBAQgMQQCxHYIibQxOALEdHCkNQgACGQkgthnhYzpNALFNs+EKBCAwPgKI7fj6bC08RmzXopsJEgJrQwCxXZuuHlegiO24+gtvIQCBegKIbT0frmYigNhmAo9ZCEBgKQQQ26VgpdG+BBDbvgSpDwEIlEQAsS2pN/DlhgBie4OCAwhAYAIEENsJdOIUQ0Bsp9irxASB9SWA2K5v3xcdOWJbdPfgHAQg0JEAYtsRGMVXQwCxXQ1nrEAAAqshgNiuhjNWOhJAbDsCozgEIFA0AcS26O5ZX+cQ2/XteyKHwBQJILZT7NUJxITYTqATCQECELghgNjeoOCgJAKIbUm9gS8QgEBfAohtX4LUXwoBxHYpWGkUAhDIRACxzQQes/UEENt6PlyFAATGRQCxHVd/rY23iO3adDWBQmAtCCC2a9HN4wsSsR1fn+ExBCCQJoDYptlwJSMBxDYjfExDAAKDE0BsB0dKg0MQQGyHoEgbEIBAKQQQ21J6Aj9uEUBsb+HgBAIQGDkBxHbkHThV9xHbqfYscUFgPQkgtuvZ78VHjdgW30U4CAEIdCCA2HaARdHVEUBsV8caSxCAwPIJILbLZ4yFBQggtgtAowoEIFAsAcS22K5Zb8cQ2/Xuf6KHwNQIILZT69GJxIPYTqQjCQMCEJgRQGwZCEUSQGyL7BacggAEFiTQKLaPHj2qjo+POze/t7dX7e7udq5HBQiIAGLLOIAABKZEoFZsz8/Pq83NzWpnZ6dzzIhtZ2RUcAQQWweDQwhAYPQEasV2a2urOjw8RGxH383jCwCxHV+f4TEEIJAmkBRbiezBwUF1enqK2Kb5cWVJBBDbJYGlWQhAIAuBqNjq9bFWtdfX14htlm4pw+h3fvqrKtf2hX/7UfXCG0+qr3zvF1m2l7/xdvXSm0+yxS/uv/zdu2UMBLyAAAR6E5gTWwnsU089VUlwldqsbC8vL6vXXnvt1qY29HlvmH9xcdHbaRpYPoG///Y71c7rb2Xdcott7vgl9iQIQGAaBObEVq+O9QrZUhux/fWvf12F23PPPVdpC/N1TiqfwMuPLqvnT86r185+nGX79Ne+n31lmzt+iT0JAhCYBoFbYqvV7MbGRnXv3r2bbXt7u7p79+7s3Fa7bULnr5HbUCq3jMQ298py3e0jtuXeH3gGga4EbomtfUar1axtDx48mH1+q3Ndb5sQ27akyiyH2L6d/WEDsS3z3sArCCxC4JbYxhpo8xo5Vg+xjVEZTx5ii9iOZ7TiKQTKJ9AotldXV3yDVPn9OLiHiC1iO/igokEIrDGBRrFdlA0r20XJlVEPsUVsyxiJeAGBaRBAbKfRj4NHgdgitoMPKhqEwBoTQGzXuPPrQkdsEdu68cE1CECgGwHEthuvtSmN2CK2azPYCRQCKyCA2K4A8hhNILaI7RjHLT5DoFQCiG2pPZPZL8QWsc08BDEPgUkRQGwn1Z3DBYPYIrbDjSZaggAEEFvGQJQAYovYRgcGmRCAwEIEENuFsE2/EmKL2E5/lBMhBFZHALFdHetRWUJsEdtRDVichUDhBBDbwjsol3uILWKba+xhFwJTJIDYTrFXB4gJsUVsBxhGNAEBCPyBAGLLUIgSQGwR2+jAIBMCEFiIAGK7ELbpV0JsEdvpj3IihMDqCCC2q2M9KkuILWI7qgGLsxAonABiW3gH5XIPsUVsc4097EJgigQQ2yn26gAxIbaI7QDDiCYgAIE/EEBsGQpRAogtYhsdGGRCAAILEUBsF8I2/UqILWI7/VFOhBBYHQHEdnWsR2UJsUVsRzVgcRYChRNAbAvvoFzuIbaIba6xh10ITJEAYjvFXh0gJsQWsR1gGNEEBCDwBwKILUMhSgCxRWyjA4NMCEBgIQKI7ULYpl8JsUVspz/KiRACqyOA2K6O9agsIbaI7agGLM5CoHACiG3hHZTLPcQWsc019rALgSkSQGyn2KsDxITYIrYDDCOagAAE/kAAsWUoRAkgtohtdGCQCQEILEQAsV0I2/QrIbaI7fRHORFCYHUEENvVsR6VJcQWsR3VgMVZCBROALEtvINyuYfYIra5xh52ITBFAlGxPT8/r46OjmbbycnJQnHv7e1Vu7u7C9WlUn4CiC1im38U4gEEpkNgTmwPDw+rzc3NSnttOzs71fb2dueIEdvOyIqqgNgitkUNSJyBwMgJzInt9fX1XEh37typTk9P5/LrMhDbOjrlX0NsEdvyRykeQmA8BObENuY6YhujMu08xBaxnfYIJzoIrJZAUmy1wj07O6v29/er+/fvd/ZqCivb7/z0V1XO7Ze/e7cz96EqILaIbc6xX4LtnPffUPcx7ZRDICq2+gOpra2tamNjY/Z5bdMr5MvLy+pzn/vcre2DH/xg9YEPfOBWnspcXFyUE32NJ3//7Xeqndffyrp99l/ervFwuZcQ2/UW26/+18+yjv3c957sv/Tmk+XeZLS+VgSiYusJSGibXiP//ve/r8JNf4n8qU99ai5f5caQJDbPn5xXr539OMsm2/IhV0Js11tsH3z3JzOxzTX+P/217xdhP9f9h93pEWgUW4V8cHAw+8vkLuGP/TVybrF54Y0niO0bT6qvfO8XWbaXv4HYanWXk38J9rvMeZSFQB2BVmKr//6j/wbUJSG2/UQCsc0vduqD3GLT5Z4bsqytbHPHn9v+kExpa70JzImt/hhKX2jx+PHj6uHDh7M/kNL/u439l6A6dIgtYttnoixhZYnYsrKtm+O4BoEuBObEVn8cZV9oof3x8XGX9m7KIraILWK7+BjQw4Zeo+ZKrGzz8s/V79hdHoE5sR3KFGK7+EQrkeI1Mq+REdv8K+uh5kPagQBimxgD/IHU5Uzw+6xO+9TlNXLelRUr27z8E9MS2SMmgNgmOg+xRWz5zDb/yrLPA1ufurlf4yemJbJHTACxTXQeYovYIraIbWJ6IBsCnQkgtglkiC1ii9gitonpgWwIdCaA2CaQIbaILWKL2CamB7Ih0JkAYptAhtgitogtYpuYHsiGQGcCiG0CGWKL2CK2iG1ieiAbAp0JILYJZIgtYovYIraJ6YFsCHQmgNgmkCG2iC1ii9gmpgeyIdCZAGKbQIbYIraILWKbmB7IhkBnAohtAhlii9gitohtYnogGwKdCSC2CWSILWKL2CK2iemBbAh0JoDYJpAhtogtYovYJqYHsiHQmQBim0CG2CK2iC1im5geyIZAZwKIbQIZYovYIraIbWJ6IBsCnQkgtglkiC1ii9gitonpgWwIdCaA2CaQIbaILWKL2CamB7Ih0JkAYptAhtgitogtYpuYHsiGQGcCiG0CGWKL2CK2iG1ieiAbAp0JILYJZIgtYovYIraJ6YFsCHQmgNgmkCG2iC1ii9gmpgeyIdCZAGKbQIbYIraILWKbmB7IhkBnAohtAhlii9gitohtYnogGwKdCSC2CWSILWKL2CK2iemBbAh0JoDYJpAhtogtYovYJqYHsiHQmQBim0CG2CK2iC1im5geyIZAZwKIbQIZYovYIraIbWJ6IBsCnQkgtglkiC1ii9gitonpgWwIdCaA2CaQIbaILWKL2CamB7Ih0JkAYptAhtgitogtYpuYHsiGQGcCUbG9urqqTk5OqqOjo9m+c6tVVe3t7VW7u7uLVC2iDmKL2CK2iG0RkxFOTILAnNgeHx9Xm5ub1cHBQXV4eFhtbW1V+/v7nYNFbH9RfeV7i2+a6CX4uVLuh42Xv/F2lVvsctvfef2tXN1fPfjuTyrZ7zOG+9RV/5dgP1sHYHhyBObE9vr6utJmSccbGxvV+fm5ZbXaI7aLC60mKcQWsUVs84t9q8mOQhBoQWBObGN1JLanp6exS8k8xBax7buyyb2yzG0fsUVskxMsF0ZHoFFsJbJ37typDew3v/lNFW6f/OQnq+eee24uX+XapF/+7t3qOz/9Vbbt0//031lfY2qilw+5GOSOn9fI771GzdX/X/i3HxXxGrfPA1ufuvYaOxd/2f2f//tdm6mSMiMhUCu2eoW8vb1d6XPcunR5eVl9/vOfv7Xpc98PfehDt/JU5uLioq6pm2uf/Zf3Jhs93efacq5sZDtX3GY3Z/yIbf7xr3HQR7D61DWx69NGn7pm3+6FHPvdf/yPm/mQg/ETSIqtCe39+/cXirLva2T9gc7zJ+fVa2c/zrLJdk6xke11jh+xfU9sc43/T3/t+6xsX38ry9yjPjf+C02+VCqSQFRs+wqtIh1CbHOLHfafZF3Z5ORfgtizsmRlXaRq4NRCBObEdgihRWz7/XGUXn9JaHKKTW77JYhdTv72GrPPq9A+dbH/3puFPgz71DX+C83qVCqSwJzY6rXx3bt3Z19ooS+1sK3pc9swOla2/QQ3t9jlto/YljHZ9xGMPnVNbPq00aduKfbDeZXz8RKYE1uJqr7MItwQ237i2fXGzy12ue0jtogtr9HzfanJeCWtXM/nxHYoV1nZ9hPn3GKX2z5ii9gitojtUHpUQjuIbeIrFXOLzbrbR2wRW8QWsS1BJIfyAbFFbKN/cZxb7BFbxBaxRWyHEroS2kFsEVvENjIGShB7xIb/+lOCSODDMAQQ28hEqz9myr2yW3f7JYid+qDrH7YNVV7xI7aI7TDTPK2UQACxRWyjgpJb7BFbxJaHDV4jlyCSQ/mA2CK2iG1kDJQg9ogNK9uhJnrayU8AsY1MtLxGzv8avQSx4zUyYjfUxwJd27GPEfJLBB4MRQCxRWxZ2UbGQAliz8oWsR9qoqed/AQQ28hEy8qWlS1iy2fGJTzs5JcIPBiKAGKL2LKyjYwBxBaxRWyHkhnaEQHENjLRsrJlZYvYIraILSI5JAHEFrFlZRsZA4gtYovYDik1tIXYRiZaVrasbBFbxBaxRSCHJIDYIrasbCNjALFFbBHbIaWGthDbyETLypaVLWKL2CK2COSQBBBbxJaVbWQMILaILWI7pNTQFmIbmWhZ2bKyRWwRW8QWgRySAGKL2LKyjYwBxBaxRWyHlBraQmwjEy0rW1a2iC1ii9gikEMSQGwRW1a2kTGA2CK2iO2QUkNbiG1komVly8oWsUVsEVsEckgCiC1iy8o2MgYQW8QWsR1SamgLsY1MtKxsWdkitogtYotADkkAsUVsWdlGxgBii9gitkNKDW0htpGJlpUtK1vEFrFFbBHIIQkgtogtK9vIGEBsEVvEdkipoS3ENjLRsrJlZYvYIraILQI5JAHEFrFlZRsZA4gtYovYDik1tIXYRiZaVrasbBFbxBaxRSCHJIDYIrasbCNjALFFbBHbIaWGtpJie319XT18+LC6urpaiNLe3l61u7u7UF1VevnRZfXCG0+iQqCV57I32cZ+Pv4liF3O/lf8JUz2y77PUu0T/3v9v/AESsXiCETFVgK7vb1d3blzpzo9PV3IacS23wPBuos9YovY8rDx1kJzL5XKJBAV283Nzer4+Lja2dlBbFewio493SO2b2d9s1CC2CM2by39DVbs3lNeKSvrMmUDrxYhEBVbvUJWQmzzvUZFbBFbxBaxXWRSp06ZBKJia662Fduf//znVbip7rPPPjuXr3JtEp/ZrvdnxiWsLPnMFrFLrXyXnW8r6zZzJWXGQWAQsb28vKy++MUv3tqeeeaZ6umnn76VpzIXFxetyCC2iG1uscttn5UtYt9qsqTQKAgMIraxSPkDKf5Aqs/TPytb/kCKhw3+QCqmLWPNQ2wTfwC17p+Z5o4fsUVsEVvEdqzCGvMbsUVso3/xidjm/wMtxIbXyLFJm7xxEkBsEVvENjIGSlhZI7aI7ThlBa9jBGrF9vz8vLL/BhSrXJfHZ7Z8ZstntouPAftr1D4M+9TFfhmv8evmWK6Ni0Ct2PYJBbFdfKLVJJn7NW5u+yWsLMWgj2D1qYvYlSF2ffqwT13r/z5zMHXLIoDYRl4h6ibJLTbrbh+xRWx4jc4fSJUll/28QWwR2+jqLbfYI7aILWKL2PaTt7JqI7aILWIbGQMliD1iwx9IlSUXeNOHAGIbmWh5jZz/NXoJYsdntohdn89d+9TV+NfDFmk6BBBbxJaVbWQMlCD2rGwR++lIDZEgtpGJlpUtK1vEls+MS3jYQaKmQwCxRWxZ2UbGAGKL2CK20xG6EiJBbCMTLStbVraILWKL2JYgUdPxAbFFbFnZRsYAYovYIrbTEboSIkFsIxMtK1tWtogtYovYliBR0/EBsUVsWdlGxgBii9gittMRuhIiQWwjEy0rW1a2iC1ii9iWIFHT8QGxRWxZ2UbGAGKL2CK20xG6EiJBbCMTLStbVraILWKL2JYgUdPxAbFFbFnZRsYAYovYIrbTEboSIkFsIxMtK1tWtogtYovYliBR0/EBsUVsWdlGxgBii9gittMRuhIiQWwjEy0rW1a2iC1ii9iWIFHT8QGxRWxZ2UbGAGKL2CK20xG6EiJBbCMTLStbVraILWKL2JYgUdPxAbFFbFnZRsYAYovYIrbTEboSIkFsIxMtK1tWtogtYovYliBR0/EBsUVsWdlGxgBii9gittMRuhIiQWwjEy0rW1a2iC1ii9iWIFHT8QGxRWxZ2UbGAGKL2CK20xG6EiJBbCMTLStbVraILWKL2JYgUdPxAbFFbFnZRsYAYovYIrbTEboSIkFsIxMtK1tWtogtYovYliBR0/EBsUVsWdlGxgBii9gittMRuhIiQWwjEy0rW1a2iC1ii9iWIFHT8SEqttfX19Wrr75a3bt3r3rllVcqnXdNe3t71e7ubtdqN+VffnRZvfDGk+iqS2K47E22sZ+Pfwlil7P/FX8Jk/2y77NU+8T/Xv/fTIgcjJ7AnNhKWLe3t6uDg4Pq9PS0un///uy8a6SIbb8HgnUXe8QWseVh462u0y7lCyYwJ7bHx8fV1tbWLZd1/ujRo1t5TSeILWKbWrW0yUdsEVvEFrFt0pkxXZ8TW61kDw8Pb8WgVW6Yd6tA5ASxRWzbiGqqDGKL2CK2iG1EWkabNSe2Ozs7c8IqoVV+Kr3zzjtVuH3iE5+onn766epLX/rS3PbgwYOqafvIX/xt9Ud/+tfVR/7y77Jsso39fPz/+M+/kJV/Cfaf+pO/yjL2dc8pfuzn57//V0dVvu0wo23Fndf+4T98uVGn6nTsBz/4wS3JjIqtXiX71CS23/zmN6vnn3/+1vbRj3602tjYYIMBY4AxwBhgDKzdGHjzzTe9jFZRsQ1fGTeJ7a0W3clvf/vbig0GjAHGAGOAMbBuY+Ddd991aljNi62EVZ/R+hT7HNdf5xgCEIAABCAAgTSBuZXt+fl5tbm5efN/a/Vfge7evTv7b0DpZrgCAQhAAAIQgECKwJzYqqBWsk899dTsCy201zkJAhCAAAQgAIHFCETFVk1phas/lNKeBAEIQAACEIDA4gSSYrt4k9SEAAQgAAEIQMATQGw9DY4hAAEIQAACSyCA2C4BKk1CAAIQgAAEPAHE1tPgGAIQgAAEILAEAojtEqDSJAQgAAEIQMATQGw9DY4hAAEIQAACSyCwcrHVb+Tu7+/PvihD350c+3F6fYOVvkhD1/Uj9j7pSzasvsqE133Z2LH+K5PVT9lXPX2T1r179+aakH3ZTPk3VyHIaLJvfOSbbHTlE5ibO22yr//upd8zlv0Un7r+mTMYZDTZ98VVVj6IiU997F9dXd3qf40F9akl2VK/+y38rnBvP9Y/1lZs32RfdeSP2rUxFv4IyND2xVlJex+3P/YMZF///z41PmJxW57i97GJv9lXGYvdxp988NdVZtn2/f0d619vPxw/Fmdq7+9vxRiLT6yNr6778RnG39e+7vWQr2zoJ1Vjvuma5sY6/1KxKz+MX/b9/d00PtRGE5+u9v3Px4b+xRgsan/lYqsvyDC4GkQvvvjirS/N0EDW5KJr2vRbuupcS6qvTdfUMbquX15om5rsq10BVru6GcLk7Zt/XewrPutc1Q/jD/0TC9WxpOuqo7pD2Lf2fPt286n98HpT/1g7qb3a8xN32L7Vk23diPo2Mxsvuib76huLX3z8+LD6qb3q19lXW/JJNm3TOLOk60Pb13izZHHLTx2HKbSvsdA3frMvexaz39+5c+emD0L7YqWtbVJ9z19xqp8t6bqNb+WprOxbMvvqE/m7iH1/v8bs2/wjm2rf+Oh8CPt2/6s9+eLj0zWd25gL7YuHxp+PX7zaJvlfZ1/tiInNfxoHPnn7ypd/XewrXm8/1r/KsxT2j65pTvB8utr37Zt9u9ea+DT1j/kd28+rSazUEvPUmRrcljTQbLJXno4FV0lAJIAGWnkK3t+ss4Id/pF9DSxLak8DQvmh2Kbs6ylv0SQ7WsGkkvzxfOST56P6y7Sv9o2/fFyG/ZCz7Ogm08BX7PLBUt34sDJd9mrb25dNbakk+94f9YXyFk2hfY09399hu7KlMWGpr33dSz5+a9f2moy8PxoL3r7qyyebrKxe231oX7bEwCfv39D27Z42e2rf96/ylWdzjuYKP1mb/4vGr/YVn7Uv4QjjF1+7Hto3//vat5hlR/eetWv5xidl3/yzcl32ij+0Y/XNDzsPx4ddX5Z92fX9E9oPr5ufsX12sdXAtScTTRz+xjKHlSeo6pDYxBarY3Wb9uFkYuVlK2w3lqfyYTlro80+Zd/q6sYzPsuwH4q52bW9bOvpVampf6xOl73s+4cd1VWclqfBrXOlOvuL3myyr8nUUp3Yykasr5Un3xZJoX3Fa5O5xrxPNrH4PB3LvjEKrzWdq17snrJ6XtyWYV/cvH3Frodni90euMwfxWrXLE/1F40/tK/2w7GkPlE/KcXsa6wual/x+vEXiyW0H461PvYVl+dvTC3WMK7YWPP3qK/f5rjOvurH+if0qY99taX4wzFlvmv+7dI/Vi+2zyq2ClCrMhvIClydGSbrYF0X2DDpeniDhGVi56F9XybmS5398AbwbdUd60ax+MNy5p/sKmnvO97KGx8777KXfZvcrZ7O9bmVJj0JrQ1E2Y/dmH3sqz+9fdlSjMbT30iyL1thGtK+Hi7Unm3+M8WU/dgEGfqYOld8ftY0bzUAABAJSURBVCUtuzpXv+iaWBiflH2V0bVFUmjft6Fx6cdbyr7vI1+/zbF4+/hVR+diqvGntm38pR52hrQv7n5lqXGoN0+Wp/4Jk+yn7uGwrM7F8ejoaPZ6WnVtrOua2g/7UmWMUcq+jZGYvTCvzr4vG/MlZd/4+Pqp47b2VT8cH7IfzvWeT8qmz2+yX3dd9n1/qd229udHjvdqyceayG3VJFMKMtaZytM1bQosTHY9zG86D+378jFfVmlfvmig6ZWOJdmPvTIeOn7duLq5ZVuTrd1Ish975T2kfcVs9hS3+lt2lbSXrTD1sS97qaRJXgyMecr+omKn8ReOZ8Xi7wnd2BIeTTA6jsUvgTBGqVhi+TH7vpx885P40GKnMSbffVKM4u3Hn/mg/ojF78eIb6vpWOMsZl+89TmtHrTUtuebsm8+NtnUdfWV4rP4ZceS2g/7Uj6orFLKvl23dur2dfZ9vZgvq7RvfEKf7OHL8j0fy6vbx+L3bcauW3uKf3RiGxO61M1sAQpCarL3sAxM3T5m35eXrXBgxfJUR+XCpy3fVuy4yX7s+tD264TGfLYJXnyb+sfqtNkrvnCi0+pAE+3Z2dnNptXNw4cPZwNcPoR9IlvKE5suyey3GTe+/WXb97YsHk0mNpkPZV/tiX8qfvGU6ITXY/ZVriv/lH355B+2NP7Uvk1wMfuLPOyk7Iu5YlY8ZtPHJ/shEy/G1mdt92pL/lv/xmJR/xsT2Q/nGl3vsrIOfZP/Zt9fk62wX2N5fnz6+m2Pwz5XvVT/rMq++W79Y3z9WLAyvn8sL7afXybESg2cFxMSM+FvLOXZZK9jBS7YfrALgup0SXX2rR0NMtnySXZlyw92lRvafp1/oX2bjLyfTcfWvudYV0cc/MTj4/f9U9eGvyb7usFC+7rBNHD9pnhV1lb4Ojdf1OaQ9r2P/tjHr8nQ2089gPj64bE9sYfxq5xitxvb6vm8lP1YW1Y/3KcmMl9OD2Kx1VIoBhb/UPbD+1s+KX4TG9n3fGRXdfyY9HHEjtvEb/V0f8umJY3FvvatLdv7+MI3OyqjMW+it2z75pP24mp2LV/2xc8nf3/4/LbHit+Ptbr+EZ/QfjgntLVr5UL7lm/7sH8WtX9bTaz1Je5tok+Z0KSq/9tmKSyvc39dIGwitjp1+7C9VFkNMg2iMIX21fnKa5ua7Le57uMf0r4mrHDS0k3gJ5sh4leftZ2cVdbf8E3jo6kf5L8mjJR9b0ttmTBauzr3r/2a+svq2b5uIlEZXfd/ICRh12Ri/sbsi1Hb1GRf7dQJ6LLta6yZsMoXxa+3WfaAo2v+v+KI/9DxG0vZVF94cZV95VnSeOxiPxxfNs/YfSdbvv9lz99/4fgIx6f5ldrH7Hu+vl5MbEP7oX++fuzYs9R1+ePtN43PZduP8REH658+9ufVJEZooDwbWHI+3CxITSoavOoAbTq2iUZuNF2vc7WNfatvZe3c9su0bzZDNjpvy8f8TO1jbVv7mlx0Y4u7JjTjbxOd2uwTv+qn7GvSiCX1v8W+CvsSYotfvsr+quMXCwmsJl3t/QQV8q97cIjxbMO/6QFCD3hipE32bSKK2QvzmuzbGFTsGoOKXxOcT8u0r7Emu/o4Q/eCZ28+iI/isPj9+LAyqb14qW6dDQm4ypgPYftmP3U9ZVv5bexbffng7z3Lb/LPysX2TfZlM7b5+WGZ9pv8U0yL2l+p2Mbgp/I0qWhLJd3gdddT9YbKb/JvKDupdpZpX22HN3joxzLth7Zi58u23yQgy7avmGUjlVZhP2XbfKvzr65u22t1fSDbddfb2oiVaxr7qtPXfkzEQl/q4luF/dCf8LzOv7BseN4m/rBOeL5M+23862q/WLENwXIOAQhAAAIQGCsBxHasPYffEIAABCAwGgKI7Wi6CkchAAEIQGCsBBDbsfYcfkMAAhCAwGgIILaj6SochQAEIACBsRJAbMfac/gNAQhAAAKjIYDYjqarcBQCEIAABMZKALEda8/hNwQgAAEIjIYAYjuarsJRCEAAAhAYKwHEdqw9h98QgAAEIDAaAojtaLoKRyEAAQhAYKwEENux9lzhfuu7RVNfZF6S6/oeXH0pvH35eZvvxe3qv75Iv0u7+vL7Nt/N2tWPWHl9wfuyv+M4ZreEPHGO/dBACb4N7cP73//+6utf//rQzdJeBwKIbQdYFG1PYCxiq1/10a/I6EvFuwhiexLv/R6p/9WSprrmU1O5vtcV7xgeiPrGmaovztrWIb3vfe+r3nzzzXUItdgYEdtiu2bcjo1FbFchNhK1LqtHCX+X8n1GyqpW0H18XFZdce76yy3L8mXZ7SK2yybc3D5i28xoNCVs4tREfXZ2NttiqzWVi00yKuvz/WSkOo8fP761+vN2fD0BU3kTMl+uTkRkX37HfPa+WbnQZthRum4cYmWVJx8fPnw4KxcrozaVb9e0V5t2btfNTpPv5qO1E4vXx2rtmz1dUz+oXoylsa4rYz5or37y7fhzHcf88/XDY6tjPGL1zUdds7h8O2pDyZeLcbU6umb2LM/2at/q6lhczKby7ZqV197shuPdlwmP5bMxD69Ze03xqp7x823IX4tPbcWSL2Px+XKIraeR5xixzcN9KVYlHA8ePLj5UWv7IeRXX331lj2Vi73W1Cs1n69jvWLVZ5r6IW1r75VXXpn9oLf9eLb94Lz//EuThuzYD12rbf0QuOr4cnJMk4P9ULrKqd7+/v4tETDfrL3UD3tboPJd7aicNh0fHR3Z5Rkns6W4dBz+SLkVVlv6wWjfpjgr2Q9JWxuyIz4+me+WZ3WUbz4oLktheesH9YUY6rr2+vFwP7GKq/WJlZE/dUnXTdxUTueKzX6Y3Ppc/VGXJAJWR34ac9VXvJa8j9Z2yN18sFisXMhVNuWXylu8GkdekMRO12RD5dSW8pSUr80nxa5y4mt2w/Hqy1s85oP2NjZUTnZ9HDqOxas+sHtAti3ZmJOfYqr64QOC3RPy13z2PqgtxNaI5tvX34n5/MLyAgRskvA3o00yPk/lbMLxZnRD+3y70f2Na5ORbnzfpiZYTRaWTGxVzguCJl5NGH5ClF3VtzyVVz3vi8qofe2tnNkK95oAFaMXER1rEktNdGEb/lx+2IQZ2hYDH5/F7dl4rior3/x1tenb8OXlh/WDF2TVESNxs+SFxPJ8u5bn9yEnnYd5xtP77NvQsfyQ3z7JPy+0FrvvAxuf3k/ZV195e1bO56ltxWx9or188A8GYqeHAJXzNuSnynqfre+8f9a2j8uO1Z7GhY9R16xOLF67f7wvilfteLtqR+chB40BxeOTmJhN5ZsNXwax9TTyHCO2ebgvxapu2vDGlyHl+6dznXshM2c08fh8HWvCDFPMjk2GVjY2cemaJgVNICbgmijUnp98VM4mSWtPvqmen1TsWrhXWS9Mdl1s/AOB8mVbvtYl+RLzMVUnbNNztXh9f4Tt+PK6ZvbD2JWvspbUV15oLL9uH/qq8xg732ex9kKfVUa8vX86l+iFSX4rFkvyoe04Djnag4G1Zey8SNs1+eb907F/eLFyqb3ajt0fVl4cY/GKZRhvjLnqhhxMwOvGrI0xXwaxtV7Jt0ds87Ef3LImKRMx37jyw5vbn1tZTTY+X8d+MrJyYXvKN3G1Mnbub3i75u2YSOsVr9/sv+P4OjFf7Lrfx/zTdbMVlo356MuIQ2zStDJq13y315q+TR+v6mgClY+KUZ/zhSksn7If9o9saiLXykefQ4fiHNrRufzwvqbYhT6FbUmkQqEPxUJt6GHHWNle/nqRkw9N41g+q5w+IrF2tNerZuWbuIqRmMSS/NFmKRR9y0/tY6t5X1Ztq4+9fzpWvF5c5a/GUJiUL6ZhfeWHfPwYtHvH9ytiG9Jd/Tliu3rmS7Oom9DfYGZI+Zp0LIXnlq/J0ZcLJ3MrF6tvk5+VsfOYP5qEbLKRDWtPx+Fm7YUTo+XH9movNnmZT76OysZ89GVSHLTK0MRp3GTTbPg25bva8El1xcDE0cRBZcLyKfuxfAmsJmIJR+zVpPdBx2H81hdhudCn8Lr8VywmDtrLBy/4asNYyXe/+f4KfTJb3jfjrAcX344d25sSnctuLCnfX/Ptx8qHeWH91HXzye/bxitB9/Xs2MaXuKuf5YuuqV31f8gQsQ17Z/XniO3qmS/NYniDmaFwEtGkqBszTGE5lfGTkZUPyynfJj8rY+c2KVi+9n4FYeX8pOzL2nHTxGbltE/Fp3h0zacUM18mxUFiKfHwSXGEbdpE6MvZscrrukTbUlg+ZT+Vb+3YpOuF3K7ZPvQ11rcqG/pk9f1ewiAm8it8vatyTStBayv0yeerbaU2r1NVro6RYtJmSX0Zvra1a7G9YvX1wzJ9402NY28njEHX7J7y9x5i66nlOUZs83BfitU2k5QM6wbVROGT3aA2melaaqKKTchW39q085QdmwgkNotOKmYr3MumFy+7rsk09CfFzOpon+IQm+hM4Cw+1Vc5z9W3rePwc8awfMp+Kt+33xRfeD3Wt21iULxaYdUlrbrUfp34q37ok7UZ+qb+DF9dW1nb1zEK+09Cq3HT9OBnbTfFY9dtlW31wn0qXhvHdf74B1drVzGHbSK2RiffHrHNx35wy+ENZgbCScoEQZ8F6f/vaa+bNrxxUxNV2J7smLiaTTvXhKjP0fTZpD5H1ISsJ36fbFJSuZOTk1k5fRbnhTGcGH398FiTk2LR54NqT5s+x5KohxNfiplvM8XBJjW1L47yWX7KTkpslW9xqo7qyk+/olpUbMXa+lS8JUTypW6yDuOP9a1YhD55PjoWV9lSLGKtzeL0ZdX3GgPyU7FrLz89r9Anqx/6pjqyKVsaW2pPfeBZpvpObYZjSpwsBt9e3cOB2gjj0Xi21CdeP449LzG2pFhlX7Grz8Vc4yBkiNgasXx7xDYf+8Et68aPTQzK9xOADEtwbbKRqKmeJiZfTsd+4jKHY+2pvvIt6VwTjSYMm/B0XXZjSeXlh/mkuv5VpPyI+RJrS3myq/LWno6VFyZdl+26lOKgOj42+W92fZuybVztuvmlvZh433x52UjZD/N9n6pd+RM+XIRxhvHr3Hz1ZUOf/DUd67rqiodtsq9JP2xP5+pfldemuj5+5Xl+Zkv5YVuKz2zrejhuVF7XY0n54bWwf9ow9Nxl3z84yK6/3iVe1ZU/YX2dW9J1PwZ1rDz57Rm+9NJL1be+9S2rxj4DAcQ2A3RMQmBKBDT5601CLGnSlwCRILDuBBDbdR8BxA+BngS0mvKvNq05rbCUr+skCKw7AcR23UcA8UOgJwH7vFafneqzRX3eqb39tyiJLgkC604AsV33EUD8EBiAgARVr5P12libVrP+M/cBTNAEBEZNALEddffhPAQgAAEIjIEAYjuGXsJHCEAAAhAYNQHEdtTdh/MQgAAEIDAGAojtGHoJHyEAAQhAYNQEENtRdx/OQwACEIDAGAj8P+D8fdQFO9V7AAAAAElFTkSuQmCC[/img]

For example, they say you cannot compare apples and oranges, but here is a way. The average weight of a granny smith weighs 128 grams with a standard deviation of about 10 grams. The average weight of a navel orange is 140 grams with a standard deviation of about 14 grams. If we have a 148 gram granny smith apple and a 161 gram navel orange, we might wonder which is larger for its species even though they are both about 20 grams above their respective mean. We could say that the apple, which is 2 standard deviations above its mean, is larger for its species than the orange, which is only 1.5 standard deviations above its mean.[br][br]How many standard deviations above the mean height of a tree in forest A is its tallest tree?

How many standard deviations above the mean height of a tree in forest A is its tallest tree?

Which tree is taller in its forest?

[size=150]Driver A had a mean race time of 4.01 seconds and a standard deviation of 0.05 seconds.[br]Driver B had a mean race time of 3.96 seconds and a standard deviation of 0.12 seconds.[br]Driver C had a mean race time of 3.99 seconds and a standard deviation of 0.19 seconds.[/size][br][br]Which driver had the fastest typical race time?[br]

Which driver’s race times were the most variable?[br]

Which driver do you predict will win the next drag race? Support your prediction using the mean and standard deviation.[br]

[size=150]The mean is approximately 23 millimeters and the standard deviation is approximately 0.06 millimeters.[/size][br][br]Interpret the mean and standard deviation in the context of the problem.

[size=150]1 2 3 4 4 5 5 6 7 8[/size] [br][br]What is the mean?[br]

What is the standard deviation?[br]

What values could make up a data set with these statistics? 

When the maximum, 17, is removed from the data set, what is the five-number summary?[br]