IM Alg1.3.3 Practice: Associations in Categorical Data

Which value would best fit in the missing cell to suggest there is no evidence of an association between the variables?
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xklR9fUgWvfvHlz++CwZs8jMfW0x5tTT7HViAVn1T/kul+I3N6/nXIfPb07J3YTLB4wfm3FJ4X379/fPqGzCLpGP0nw0wX34s5PHzioeEeRWFCuUxtztrXx+j7dgzn91AL/XI9xX4s59c8i6z7uZ/6ww7EvX748/80NY6WGpOvn/NEv78QL6+H306dPzz7po5QLY4Qd98uYub+0poQFY1pzH+EbFnEHvvcurEFNcAf3Fft7e886783prHk8GjfP3Rw/2CdH4AIxdE7sIlgEko3N72yGPLCYZ4Ob28ui4O729J12SrZ1TPeof5IEYxRJjQn2//rrr4m40BbXE1zc1woWbeidOcPOXN7MV33yueS7ZH/ONuukmLxk/1JsjHHuPoJgkVdzDYnYcB3qyWflBtdd7e7N6Wr53csHvOAZLK0FB0b6dgUMnBO7CJY2QB4sHjQ0PBZBBYTNTZsjDzLWYT8unecetQP7WKNjXIf9P378eLaFd43V95EM+q0M6/0ddjRGvOtFH8ybc5oLxU5tM24dK62DHb90D+1gjYqY1ga48NK9JX/ch/X31pZio5+l+wiCpdjxg4BiS3xQA9aQ56i0juuvcvfmdJW81uahdfc95AHPp89f9d05sVmwVCjY8AkewL0nWH6I/WBqk9dmqPvgR+PgYWccsMkGoXf64jwFxt9JFu69RxrfzzhKuWjcxK+0X9eV/HMPYlSc1CfW8FL8mBfuxE7ndR/9ECvYuxcbfS7dRxAsz5+1IeaYx5hiS+5pDdzOVd69OV0lrzV5kAu4ly7UX3lRWnPFMefEroKlBw/grREsrGMT1MbJwrGQ3oi1oc4JljZStc1nNgG1hTHGrfloHL7ficJ8nGBqg/lpjC5Y9ON3jYu+1/hkvlzrdvFO246J+ynt1f1cv/Y+omABG9YCfCiJU2lsLaZnW+fN6WzxPxovzxrPp9thjyh9UPW1V3t3TuwqWGy4BI2Nn42bwM81Nq7HPG2Vmjzss8hYi0KXbOteksH3eaz8V1m0y3ne2WAwz7w4xzvX+LzGg2dcGjdz5n74KP1QVOgPd91D2xhXn1jDBgi7tKMxcGwOJ/WzNjaNc+55VMEizqiT1qqErfNpDsuzjntzOmseL4mb5xHnau4CL65e+7ncnRObBQuOtIkReB5EHDyCXWqM//rXv57ww4u2uEcPMZup2oF9rNExrqMtrpmLFePqB+spHpgDqfRvProWz36V/LoP7tO46VOx4zr34e+6h/mrbeSEuHQdP7HpGPfqGNfBp46vjc1jLb2PKlioCblewmVNQyvtO+OYN6cz5vCSmNfUlmeY5/Il9q+w1jmxi2AReDTF0g8PJMHHGhYATa+0594897CZlmxrc+V6vaNZ8NL9WEO7mJ+zQ4GhDd59Pddprmz26pfrYAf+NVY+E0v60vvcHu5FvuqP43on7qV1jHnOz1JsGmfpeQTB+vbt2w1/5k8+KNc4xzvPlnKVc1e7e3O6Wn6aD+u6VHusJ0d49tTGCM/OiV0EC8CxAGx+aHz4f43wzkamTZCNEQeRe3jXIrJgmMP/UwRbXKeHuGRbC849Hz9+vH17wrvux1rGwnhJCI2Bdhg/1/idtrCeQqR2SECNm+toS9fTL+7cy3V6VzFBHlgLu9jHfEu14v8zp3m58KrfR2LTOP356oLlmLOeiqljgnfuY+1Ka64y5s3pKnl5HnrmyQO9s/+x9nom3dbV350TuwnWUcBpY7x3uLfEoM2ZhNliL3tfhsDVBetlaIy52pvTmCgka0XAOTG8YPFTDD/h+LcrBS/PxyEQwToO27NY9uZ0lrgT53EIOCeGFyz/en7kt7jjynp+yxGs89dwawbenLbay/7zI+CcGF6wUFL8fSC/BmxL7ghWW/x78O7NqYeYEkNbBJwT3QtWW7jivRYCEaxaSPfrx5tTv5EmsloIOCciWLWQj59FBCJYi/AMMenNaYikk+QiAs6JCNYiXJmshUAEqxbS/frx5tRvpImsFgLOiQhWLeTjZxGBCNYiPENMenMaIukkuYiAcyKCtQhXJmshEMGqhXS/frw59RtpIquFgHMiglUL+fhZRCCCtQjPEJPenIZIOkkuIuCciGAtwpXJWghEsGoh3a8fb079RprIaiHgnIhg1UI+fhYRiGAtwjPEpDenIZJOkosIOCciWItwZbIWAhGsWkj368ebU7+RJrJaCDgnIli1kI+fRQQiWIvwDDHpzWmIpJPkIgLOiQjWIlyZrIVABKsW0v368ebUb6SJrBYCzokIVi3k42cRgQjWIjxDTHpzGiLpJLmIgHMigrUIVyZrIRDBqoV0v368OfUbaSKrhYBzIoJVC/n4WUQggrUIzxCT3pyGSDpJLiLgnIhgLcKVyVoIRLBqId2vH29O/UaayGoh4JyIYNVCPn4WEYhgLcIzxKQ3pyGSTpKLCDgnIliLcGWyFgIRrFpI9+vHm1O/kSayWgg4JyJYtZCPn0UEIliL8Awx6c1piKST5CICzokI1iJcmayFQASrFtL9+vHm1G+kiawWAs6JiWChaeQnGLTiAMiZn2AQDoQDygEVx4lg6USeg0BNBPINqybaffpCk8oVBBQB50QES9HJczMEIljNoO/GsTenbgJLIM0QcE5EsJqVIo4VgQiWojHmszenMVFI1oqAcyKCpejkuRkCEaxm0Hfj2JtTN4ElkGYIOCciWM1KEceKQARL0Rjz2ZvTmCgka0XAORHBUnTy3AyBCFYz6Ltx7M2pm8ASSDMEnBMRrGaliGNFIIKlaIz57M1pTBSStSLgnIhgKTp5boZABKsZ9N049ubUTWAJpBkCzokIVrNSxLEiEMFSNMZ89uY0JgrJWhFwTkSwFJ08N0MggtUM+m4ce3PqJrAE0gwB50QEq1kp4lgRiGApGmM+e3MaE4VkrQg4JyJYik6emyEQwWoGfTeOvTl1E1gCaYaAcyKC1awUcawIRLAUjTGfvTmNiUKyVgScExEsRSfPzRCIYDWDvhvH3py6CSyBNEPAORHBalaKOFYEIliKxpjP3pzGRCFZKwLOiQiWopPnZghEsJpB341jb07dBJZAmiHgnIhgNStFHCsCESxFY8xnb05jopCsFQHnRARL0clzMwQiWM2g78axN6duAksgzRBwTkSwmpUijhWBCJaiMeazN6cxUUjWioBzIoKl6OS5GQIRrGbQd+PYm1M3gSWQZgg4JyJYzUoRx4pABEvRGPPZm9OYKCRrRcA5EcFSdPLcDIEIVjPou3HszambwBJIMwScE5cUrO/fvz+9fv366dWrV08fPnxoBnbJcSk2jr19+/bp169fpW0Pj339+vWGA7DAc69XBKvXytSLy5tTPc/x1CsCzokI1kylIBy/f/+emX18mOKkYvr58+dnUcHznlcEa08097EFbuHDCT5UgQ9+cR4cwc/cOt939ndvTmfPJ/FvR8A5EcEyTPGNDE3iiG87cFUSLI4d4TOCZQVu/Kr1KAkRuaAfXMDJ0trGqezu3pvT7g5i8HQIOCciWFbCFoJlIez6qg0Sz71eI/xKEN/Y3717d/s1NQSpJEIY9w8u/MalItZrHbfE5c1pi63svQYCzolDBYsHDd9YPn36dDus/DWHH0rCS8HgOhzwe7+a06ZMX2gGeIY9Xm4b82zibCb0y7vGyU+/pTn68Pua2HQN44EdNCj6wp0NTnHFGs9LbZRsl3Klbfer+KktHfecH3kfQbAUF9RNMeccxpVzGCfvtK5cf6W7N6cr5ZZcHkPAOVFNsLTx8lkPpjZhzvNeOthM35s69/DOxqrNlnO8Y67UxDHPGOf2c57x6P2R2NiUSnvpawkrzQmxaNxLtrGPOKt9+oQtCiPXaa5bnyNYfyNI7Ik7ebnmg9vWGrTe782pdTzx3x4B58ShgsXD5k2UjQ/jbKKlMW22FB6FkIcbdnjAMa/NnvsQy7dv3563615tBoxD7ZXW6hj8+aXzaqsUm+aJZ8VNY/v58+fNjc4rhmqH+3QMz7gQ248fP55D5id42CJeGudSTM9GNj5EsKYAkodak+mK6715c7pehsnopQg4J6oJFhsoAtYmisaozV3XaWPWps+k3Q7HSw0Yc+oHjYA/apuNQsfUD555ca3GzDndo4JWik3X0j5tI0aNBfYVF/fNffwWVLINGxoHccCd9nQe8fs789zrHsH6G0nijDri4jvruRfePdrx5tRjjImpLgLOia4FC9B4A1a41jRjHnxdqw3aBYH+VCSW9vp+xqd78MyLDQj7SrFxbUlcKSZbBUu/PTkWcz6+fPlyE/ijGmcE688HEdaAnCEXyBeOX+3uzelq+SWflyPgnOhasLQxq4AwbRWFpW8xc3ZK4lQaUz/e4NcI1lJsyEXtU7CYowocfMGW5uPNzeN322x+sMW9c/a4FyL15s2bm2BxD+Pb6x7B+vMbgJIwYewo7Peq4VY73py22sv+8yPgnOhCsAArGy0aKZs2GybGSodYm68KmtrCs67jodex0l79JqFrVXyW6KB7SvY1J81Tc6d9tYV8VGDm8GKeblsFkJjqGPfBt/qFH/XF2Pa6R7D+fMNiXYgt66214dyV7t6crpRbcnkMAedEN4JVao5sktrwPW0ICNeV7jz8uJfmMab2tcFjjk1iyQ9F5tHY1Cee2aBK8d6bxx4V25fY1nyZi+atOHF+r3sE628kiTfuvDiGWl758uZ05VyT2zoEnBPdCBbCLzVqCsZSejzQbPD4ewv24Z2C5bbRfD9+/Hhb441YxU396zcR+sJdm4vHuSY2F5WSeKsIaS6I7/37989i7Lm4bcTn9tWG5ou1mvNSnp73S98jWH8Q05qBX17TPyuv9eTN6VrZJZtHEHBOHCpYjwSYPfcRcMHC+xGX+jm6aY4mWEfU6+w2vTmdPZ/Evx0B50QEazum1S2okPg3or2C0W+Z975F7uEzgrUHiue24c3p3Nkk+j0QcE5EsPZAtbKNGoKlv8rkr1WPTDOCdSS657DtzekcUSfKIxFwTkSwjkT7INs1BAt/u/rnP/95+3vXQWlMzEawJnAM+eLNaUgQkvQEAedEBGsCT15aIRDBaoV8P369OfUTWSJphYBzIoLVqhLxO0EggjWBY8gXb05DgpCkJwg4JyJYE3jy0gqBCFYr5Pvx682pn8gSSSsEnBMRrFaViN8JAhGsCRxDvnhzGhKEJD1BwDkRwZrAk5dWCESwWiHfj19vTv1ElkhaIeCciGC1qkT8ThCIYE3gGPLFm9OQICTpCQLOiQjWBJ68tEIggtUK+X78enPqJ7JE0goB50QEq1Ul4neCQARrAseQL96chgQhSU8QcE5EsCbw5KUVAhGsVsj349ebUz+RJZJWCDgnIlitKhG/EwQiWBM4hnzx5jQkCEl6goBzIoI1gScvrRCIYLVCvh+/3pz6iSyRtELAORHBalWJ+J0gEMGawDHkizenIUFI0hMEnBMRrAk8eWmFQASrFfL9+PXm1E9kiaQVAs6JCFarSsTvBIEI1gSOIV+8OQ0JQpKeIOCciGBN4MlLKwQiWK2Q78evN6d+IkskrRBwTkSwWlUificIRLAmcAz54s1pSBCS9AQB50QEawJPXlohEMFqhXw/fr059RNZImmFgHMigtWqEvE7QSCCNYFjyBdvTkOCkKQnCDgnIlgTePLSCoEIVivk+/HrzamfyBJJKwScExPBQtPITzBoxQGQMz/BIBwIB5QDKpbPgqWDeQ4CQSAIBIEg0BsCEazeKpJ4gkAQCAJBoIjA/wFsBKiyLa/m4wAAAABJRU5ErkJggg==[/img][/center]
The relative frequency table shows the percentage of each type of art (painting or sculpture) in a museum that would classify in the different styles (modern or classical).
[br][br][table][tr][td][size=150][img]data:image/png;base64,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[/img][/size][br][br][/td][td]Based on these percentages, is there evidence to suggest an[br]association between the variables? [br]Explain your reasoning.[/td][/tr][/table]
An automobile dealership keeps track of the number of cars and trucks they have for sale, as well as whether they are new or used.
[br][table][tr][td][size=150][img]data:image/png;base64,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[/img][/size][/td][td]Based on the data, does there appear to be an association between [br]the type of automobile and whether it is new or used? [br]Explain your reasoning. [/td][/tr][/table]
A survey is given to 1,432 people about whether they take daily supplemental vitamins and whether they eat breakfast on a regular basis. The results are shown in the table.
[br][center][img]data:image/png;base64,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[/img][/center]
Create a relative frequency table that shows the percentage of the entire group that is in each cell.
Several college students are surveyed about their college location and preferred locations for a spring break trip.
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PCzRTR2ojNLip2YhxkQ2IQAdbEJdpRCoAmBrJ4ZfprgPobQLCmOYT1WQqANAeqiDVekQmALAlk9M/xsEY2d6MySYifmYQYENiFAXWyCHaUQaEIgq2eGnya4jyE0S4pjWI+VEGhDgLpowxWpENiCQFbPDD9bRGMnOrOk2Il5mAGBTQhQF5tgRykEmhDI6pnhpwnuYwjNkuIY1mMlBNoQoC7acEUqBLYgkNUzw88W0diJziwpdmIeZkBgEwLUxSbYUQqBJgSyemb4aYL7GEKzpDiG9VgJgTYEqIs2XJEKgS0IZPXM8LNFNHaiM0uKnZiHGRDYhAB1sQl2lEKgCYGsnp8MP7GRPxiQA+QAOUAOkAPkQA85UJuqngw/tU2s9UkgkpoXBCBwSuA///nP6QKfIACBwxLI6vnk6cfD8LDxXWQ48V6EjUOdE8iaZedu4x4EuiSQ1TPDT5fhnuYUw880Tuwai0DWLMeigLcQ6INAVs8MP33Ed5EXDD+LsHGocwJZs+zcbdyDQJcEsnpm+Oky3NOcYviZxoldYxHImuVYFPAWAn0QyOqZ4aeP+C7yguFnETYOdU4ga5adu417EOiSQFbPDD9dhnuaUww/0zixaywCWbMciwLeQqAPAlk9M/z0Ed9FXjD8LMLGoc4JZM2yc7dxDwJdEsjqmeGny3BPc4rhZxondo1FIGuWY1HAWwj0QSCrZ4afPuK7yAuGn0XYONQ5gaxZdu427kGgSwJZPTP8dBnuaU4x/EzjxK6xCGTNciwKeAuBPghk9czw00d8F3nB8LMIG4c6J5A1y87dxj0IdEkgq2eGny7DPc0php9pnNg1FoGsWY5FAW8h0AeBrJ4ZfvqI7yIvGH4WYeNQ5wSyZtm527gHgS4JZPXM8NNluKc5xfAzjRO7xiKQNcuxKOAtBPogkNUzw08f8V3kBcPPImwc6pxA1iw7dxv3INAlgayeGX66DPc0pxh+pnFi11gEsmY5FgW8hUAfBLJ6ZvjpI76LvGD4WYSNQ50TyJpl527jHgS6JJDVM8NPl+Ge5hTDzzRO7BqLQNYsx6KAtxDog0BWzww/fcR3kRcMP4uwcahzAlmz7Nxt3INAlwSyemb46TLc05xi+JnGiV1jEcia5VgU8BYCfRDI6pnhp4/4LvKC4WcRNg51TiBrlp27jXsQ6JJAVs+rDT+/f/++f/Hixf3d3d3927dvdwFxqU1Lz7Vy+v379w9cnz17dv/169fV1DD8rIYSQR0RyJplRy7iCgSGIZDVM8NPJQUYfipQWLqagIbY+IIQf+UwG4NtrOm+X8u9VxuDgJRA1izTA9zYLQHv5V5P2Rd07Y8v8vGe1/EJZPXM8FOJrQogiiUrksqxZkt6aK79AOSXn2YheyI4cur169cnDTVya0pMY1+c/fv37xO5LKxPIGuW62tCYmsC8YXi+fPnk38xj1qLvs/w0zoyt5Of1TPDTyUGDD8VKCytTkC/9MRwm72m7MnOsr6MQNYsl0nj1JYEPn36NHmQib0x+Lx8+XLymS19Q/c0Alk9Nxt+9GtFJFPt2218i41vs3Fff5F8/tIUrvtxLffEfh9WtDf0+3rIcpvOfZM+d670RTbGVQ8ql62Ckl1+L2zXGd2Pa7lHdrtu6a3td4bn3vPLzzk67e8p9rWclvaIPd9CReM216xZ3kY7WtYkELVV9tOafD2P9Jyg5mqUjrmW1XOT4ccf5HrvD24fLnRfVz0IyqFB9+OqPREKDQZ+X3vO6Yk9WVFcOue+aAiJn1Zj3eVmtkmvCq603WW4j9LrbEL/0hfDz1Jy159TjikXahK1J/KI1+0IZM3ydhagaS0CUTvnakx6Yp/6a7xn+BGZ41+zem4y/CiJAlskkh7uelBrYPB9WlOixmDw+fPnR/J6EPhgoG/OsVZLVj+j+z5wuP5HRcUvSb6n5ouvyc/w4cuXL4/DkPx2ezXAffv27eTfgbg87dFa2BJr4YtzcNvnvGf4mUNrnb3K84hfxPXcK+57/p3by731CGTNcj0NSLoVAa+37Dmhvuz9Vs+LW9mJnnYEsnpuMvzoYR/u+LARCfX9+/fHh7fvi8SL5PRm78NL3NOfElNDQawrcR2hn3ddS8+VvoR8l1XT4f74+dpe+adryI6XdISs+IUp7mtIdH/nvmf4mUtsvf3KBc8Pl67c9Tzx+7xvRyBrlu00IvkWBFRz/rzQmtdZ9Fs9Y25hFzraEsjqedPhRw/58hqDjIah8l58VmL6UBDTe/nSAyTOlMktuXOGJhXKFBtkm/SU1xhe/vz58zDElPf0OWTEK5NVs71kcO4zw885Ou3vKT89N6U1YpsNRtrDtQ2BrFm20YbUWxJQzenLY/RWPU9kR21N97gej0BWzzcdfiLhfv369fjLjx7y5fXjx4+PQ4EnZjwkYq/WfCioDQJK9DjjD5il53z48eIJ+eWDynWU/sXnOB9+6l7sj5d+go11rbmsOBf+x31xWJqODD9Lya13LvJSuSSpyjPPWd3j2p5A1izba0bDLQio5i59+YweSw3eIiJtdWT13GT48UHAH9xKpLhGYpVNXwh8aNEeX9ND3wcF11mTI91xz226NDS5XD8neVrzfaHDbavpyOyQvNrwIx2+R3bI5zlXhp85tNbfmw05kS8R/yxv1rcEiU4ga5a+h/fHJKDnyLm+Gf1Vz5hjeonVTiCr5ybDTzTu8s+TyQeDcp+SMq7lPX12Wdm+eHAo0eOc5AYUHx5qDxg/J51+df2SpcHEoWe2ae85DqEvZLu9OqeHpmyq+eB2ZO8ZfjIy669HTn348OFEcOSHYqobiq2Gfq1zvR2BrFnezgI0rUEgai7+DyV6qbbKmtN9XRl+RKKPa1bPqw0/epBHYsXDOAYEPZxrjVyJqD26am95P+S9e/fuQaYPHxGe0KfzukYC+xAzZ/iZ48u54SezLWzUwFLaHj6KXTb81ORK3px0ZfiZQ+u6vcoT5WdcyzwODdq3JJ7XWchpEciape5zPQYB1ZLXnJ4v5zyIc7XaPHeGe/slkNXzasPPfl3HsowAw09GhvWRCWTNcmQm+A6BoxLI6pnh56gRXcFuhp8VICKiOwJZs+zOURyCwAAEsnpm+Bkg+JmLDD8ZGdZHJpA1y5GZ4DsEjkogq2eGn6NGdAW7GX5WgIiI7ghkzbI7R3EIAgMQyOqZ4WeA4GcuMvxkZFgfmUDWLEdmgu8QOCqBrJ4Zfo4a0RXsZvhZASIiuiOQNcvuHMUhCAxAIKtnhp8Bgp+5yPCTkWF9ZAJZsxyZCb5D4KgEsnpm+DlqRFewm+FnBYiI6I5A1iy7cxSHIDAAgayeGX4GCH7mIsNPRob1kQlkzXJkJvgOgaMSyOqZ4eeoEV3BboafFSAiojsCWbPszlEcgsAABLJ6ZvgZIPiZiww/GRnWRyaQNcuRmeA7BI5KIKtnhp+jRnQFuxl+VoCIiO4IZM2yO0dxCAIDEMjqmeFngOBnLjL8ZGRYH5lA1ixHZoLvEDgqgayeGX6OGtEV7Gb4WQEiIrojkDXL7hzFIQgMQCCrZ4afAYKfucjwk5FhfWQCWbMcmQm+Q+CoBLJ6Zvg5akRXsJvhZwWIiOiOQNYsu3MUhyAwAIGsnhl+Bgh+5iLDT0aG9ZEJZM1yZCb4DoGjEsjqmeHnqBFdwW6GnxUgIqI7Almz7M5RHILAAASyemb4GSD4mYsMPxkZ1kcmkDXLkZngOwSOSiCrZ4afo0Z0BbsZflaAiIjuCGTNsjtHcQgCAxDI6pnhZ4DgZy4y/GRkWB+ZQNYsR2aC7xA4KoGsnhl+jhrRFexm+FkBIiK6I5A1y+4cxSEIDEAgq2eGnwGCn7nI8JORYX1kAlmzHJkJvkPgqASyen4y/MQDkb9xGERi8AcDcoAcIAfIgV5zoDa4PRl+aptY65MAv/z0GVe8uo5APAB4QQACfRDI6pnhp4/4LvKC4WcRNg51TiBrlp27jXsQ6JJAVs8MP12Ge5pTDD/TOLFrLAJZsxyLAt5CoA8CWT0z/PQR30VeMPwswsahzglkzbJzt3EPAl0SyOqZ4afLcE9ziuFnGid2jUUga5ZjUcBbCPRBIKtnhp8+4rvIC4afRdg41DmBrFl27jbuQaBLAlk9M/x0Ge5pTjH8TOPErrEIZM1yLAp4C4E+CGT1zPDTR3wXecHwswgbhzonkDXLzt3GPQh0SSCrZ4afLsM9zSmGn2mc2DUWgaxZjkUBbyHQB4Gsnhl++ojvIi8YfhZh41DnBLJm2bnbuAeBLglk9czw02W4pznF8DONE7vGIpA1y7Eo4C0E+iCQ1TPDTx/xXeQFw88ibBzqnEDWLDt3G/cg0CWBrJ4ZfroM9zSnGH6mcWLXWASyZjkWBbyFQB8Esnpm+Okjvou8YPhZhI1DnRPImmXnbuMeBLokkNUzw0+X4Z7mFMPPNE7sGotA1izHooC3EOiDQFbPDD99xHeRFww/i7BxqHMCWbPs3G3cg0CXBLJ6ZvjpMtzTnGL4mcaJXWMRyJrlWBTwFgJ9EMjqmeGnj/gu8oLhZxE2DnVOIGuWnbuNexDokkBWzww/XYZ7mlMMP9M4sWssAlmzHIsC3kKgDwJZPTP89BHfRV4w/CzCxqHOCWTNsnO3cQ8CXRLI6pnhp8twT3OK4WcaJ3aNRSBrlmNRwFsI9EEgq2eGnz7iu8gLhp9F2DjUOYGsWXbuNu5BoEsCWT3vdvj5+/fv/evXr+/v7u4ervG59vJ9nz59erLF74e8TM6Tg40Wfv/+ff/ixYsHv96+fdtIyzSxDD/TOLFrLAJZsxyLAt5CoA8CWT0ffvj5+vXr/bNnz9IhieEnT2CGn5xNizsxnMcw73+1gV26NSjHsBzved2GQNYsb6MdLWsSeP/+/Um9xbMinhnZy/efq83sPOv7I5DV8+GHHx9uasnq9/nl5zQxGX5OebT8FMPLq1evThqvGm0tb8OW+GUwBiWGn5aReSo7a5ZPd7KyZwJRc9Hz/YtD1FRtANKX6D08I/bM9Ii2ZfV8+OHnUjAYfnJCDD85m1vcUW7W/vNnDEQx+Lx8+ZLh5xbBMB1Zs7QtvD0oAQ058cVDL61lX0K0j+sxCWT1vPnwo2+/+k8Bmsr1YIh1TeMxwevfy8R6nPW12kOklPPhw4eTn0E94WVL6Pv58+eDLv/W7bJkr5+P1NC3dd2Pq++p2avi0xnf3zLdGH5a0r0sW/mk/NYJrUcuRU56DmoP13YEsmbZTiOSb0VAvVY91mvtVjag57YEsnredPjRsKGHflzV6JWUsaaHgw8WSt7aMOFoXY7r8feSJXtiAHv+/PnJf3JwPX423ut8XMt7+qw9Lif8cfs0+Ln9Ld8z/LSke1m2Yh954K/IQ+UCw4+Tuc37rFneRjtaWhFQ79XzJPRoGPr3339Pvlj7nlb2IPc2BLJ63mz4UeOP4cAT7cePHw9Eyvv+i008EPRSQoec8iESe1xO7NEQ4oOK9PuahhYNYxq89FAK2VrT+dD1+fNnmXbyq5T2lPZq4HLbHgU0fsPw0xjwBfFqvMrJ2F6uMfxcgNjgdtYsG6hC5A0IqE9Hj/VnR6hW/1WfjzX1aPXsG5iIioYEsnrebPgJXz0pPfning8t8StMDB215FWixr2QV75cTpnM0q+Bxocf35vp0H6dD92+N2zSn/zz++6XPwBLH1p9ZvhpRfayXOWl55nWPI8Zfi6zXHtH1izX1oO82xJQfXm/jvryz7JIvX2LviwbuK5DIKvnTYcfHwQ0JOhhoETVuq4aIoTFZfhDQ/ddjmTr3rnhx5PedciO8hr7VTDlvfgsuzNZpW2yseWV4acl3fOyI/eUE9pZG3Rqa9rPtQ2BrFm20YbUWxJQ/9WzIqsv/QIb93kdm0BWz5sOP0KqRNPQEAnnQ0usa1DRe51VMpfruu9yygFDMvUQ8uFl7vDz8ePHh/98F3ZIXthQ6nB74xvHmzdvHn8dunWhMfwoS257rTVcz9PIodqfGvZtrR1PW9YsxyPRp8dRR3oWRJ+v/fKjZwiPAuwAAAR+SURBVNKte3KfxLf1KqvnTYefbMCI5PSHQSRqDA1x1UNBZ32YqD0cXE6c1bm4SpYXgta0T2EL2XFPe7Wuq9uhPb6mgcjXQqZ/rhWh5Le4Mvy0oHpeZm3wOXdi7v5zsrg3jUDWLKedZteeCeh5oGdFNuRE/791P94ztyPbltXzZsOPklDDhl8j8fy+hgklauzNhokySC7Hdei9J7gPROXw47p1VlcVkgYkrfv1nL2uV76WfrT4zPDTgmouMwYZz7d853/vMPz8l8Wt3mXN8lb60bMOgfhiGf9HGX9Fjy5rsKxLfSFVX/fzvD8egayeNxt+lGA+IHhS+tDiA4EPGDFQfP/+/WEQCjm1ZHU9UQghSzo1kCicPoSUw0/scZskI66yr7wf8t+9e/egT7rcHtlbnpM82dXqyvDTiuxTuZ5bnjvx3vO+PMnwUxJp/zlrlu01o2FNAlE7Za2pD5d6yvqMs7z6IJDV82bDTx9Yj+0Fw8+x44f1bQhkzbKNNqRCAAItCWT1zPDTkvrOZTP87DxAmLcJgaxZbmIMSiEAgasIZPXM8HMV1mMfZvg5dvywvg2BrFm20YZUCECgJYGsnhl+WlLfuWyGn50HCPM2IZA1y02MQSkEIHAVgayeGX6uwnrswww/x44f1rchkDXLNtqQCgEItCSQ1TPDT0vqO5fN8LPzAGHeJgSyZrmJMSiFAASuIpDVM8PPVViPfZjh59jxw/o2BLJm2UYbUiEAgZYEsnpm+GlJfeeyGX52HiDM24RA1iw3MQalEIDAVQSyemb4uQrrsQ8z/Bw7fljfhkDWLNtoQyoEINCSQFbPDD8tqe9cNsPPzgOEeZsQyJrlJsagFAIQuIpAVs8MP1dhPfZhhp9jxw/r2xDImmUbbUiFAARaEsjqmeGnJfWdy2b42XmAMG8TAlmz3MQYlEIAAlcRyOqZ4ecqrMc+zPBz7PhhfRsCWbNsow2pEIBASwJZPTP8tKS+c9kMPzsPEOZtQiBrlpsYg1IIQOAqAlk9M/xchfXYhxl+jh0/rG9DIGuWbbQhFQIQaEkgq2eGn5bUdy6b4WfnAcK8TQhkzXITY1AKAQhcRSCrZ4afq7Ae+zDDz7Hjh/VtCGTNso02pEIAAi0JZPXM8NOS+s5lM/zsPECYtwmBrFluYgxKIQCBqwhk9czwcxXWYx9m+Dl2/LC+DYGsWbbRhlQIQKAlgayeGX5aUt+5bIafnQcI8zYhkDXLTYxBKQQgcBWBrJ4Zfq7CeuzDDD/Hjh/WtyGQNcs22pAKAQi0JJDVM8NPS+o7l83ws/MAYd4mBLJmuYkxKIUABK4ikNUzw89VWI99mOHn2PHD+jYEsmbZRhtSIQCBlgSyen4y/MQDkb9xGERi8AcDcoAcIAfIgV5zoDZcnQw/tQ2sQQACEIAABCAAgZ4IMPz0FE18gQAEIAABCEDgIgGGn4uI2AABCEAAAhCAQE8EGH56iia+QAACEIAABCBwkQDDz0VEbIAABCAAAQhAoCcCDD89RRNfIAABCEAAAhC4SOD/ADzyvPApd8CtAAAAAElFTkSuQmCC[/img][/center]What percentage of people who prefer to spend spring break at the beach go to a college away from the coast?[br]
What percentage of people who prefer to spend spring break skiing go to a college away from the coast?[br]
A group of people are surveyed about whether they prefer to bike or run to exercise, and whether they prefer summer or winter weather.
[size=150]The results are in the table. [/size][br][br][center][img]data:image/png;base64,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[/img][/center][br]What value could go in the blank cell so that the percentage of people who like to bike and also prefer winter weather is 10%?
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Information: IM Alg1.3.3 Practice: Associations in Categorical Data