Statistical Analysis and Data Exchange Explained
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vg7ZKqOR3dhivru8IGC0z1bOQdKf99EZaW5y2Z-ZIC-YUX3jfmWGhDEyKs0CoJYi1cgRBv9rKL_kw4bttxagZgo8c5CgqzUDD0h3jjscw3pRhX9uyF0eMB1Hy317fPpuUWsAjsoFbTWaOy0JIYkyusXbvkOXhS3eSvVlYTV2wyXiq0ofFVR8eWjiq7qgdU7p-zaJ02mtyAg-mlcxbwzn3Tb8S0Vohk5Vhn3VKqPuaij63reaTymuAI492i2-ovFXuRZKUxFOfhILp_Gir2aLUxkL6ofj2y89XI9gIenXzQacfZHuN_nOxA8bO-y-CXoErbb2yAHXaVTz34cnlK6I8c9cmH_cDoq5MqZCOsL_33GPxx2IQtqV1vhsFXrzg7ud9KskVKBZtnq14ZcQxqvOlOg0sz0EM5QZWVE8biEtWxUWTx4gMHotNd1id2sHj4AJoNlcdsADTUz1Mvv3Z5ONNQOY_FgxvaMWj0rMfVlvp0zh63RZelaCPyJbvDPisQPBumby6xheUnDHTL5W9LiX6VPsZSzCZA5bl1pQUKwrwf_z0JQVst28dYJOCsUvEScXIz4iCigZaNPq7p5IwNgTjnCJGUpu2L9q920Nn3i5ke05XVhbobU5MAbfjrAiPhGY63zpse615yJK1i3wkQ0er2ln3U98QFz1qwV5UmWjDtLvLro5zr5Dj8MRaSIBl74XFxFesYbtGt49UnW_FFg7DzZXU120qsy-cJf-NihSvEcdHuEdlGD-BSL1AkIj1g-KQ_p6ExoTpqZfO35TyD7ub5FjIk-cQ7DvP_ITMW-d3zJ3b78KH2QM7TTNKbvDZtIGaqoFp6MhsCIVH7ykFUIZdpovFguZgIRxX5-4W-sBcB2lBFPH6DUD1h5p9pF0QUJmDeIFQczvu6i1iK8O35ANENEKU8f_TkSZyPaxnI92V2S2yGORmEdMOiWuzzUzuQPXJb2qXanWE5qbtuRfRAMzy61OL3sDFa2wH170EBxgzM4ZlExBirXYBBOwvTaioxfgVECNqI2GdmACpUuA9ylbXfgsOKwytaCziw1o3dIBpfmjVaP7xqaS3byvewkrsP0dXgQeRXxWEE2PsIdNe5nrIwnQhLnUoddlRle-dY1XGoIhB5ceB9E8WdUjnsG9okDaGkIkfkKaLyDcoXTXpB109zCGEJ2Lw80pk5iavJYOnHZ9f3gu7ZV-hQzMpmIJ3aN1I2392DW5JtdqxH4hu2ZrcsILCvZRR7zlXxUjpWUtI4KlxbIH0HSzBJE4Kk8edtFwQBzINri7uds_mxHgvUy5RJMpX2Fow9ntFh6k8oUHQeUpNjzXNPIp3SpPV-VAquJ7PMiFYVgT-94k5dzFxUeDDNUR2GSrQb5aHCAe0c6inO2Qxv7XKvvh-BnpK56oDG9GZD8mkTylkD3tMJeJQB73_GNpCrqXmi0w6An1ugqvBHgWS2NVUxMAX45VsfaWs_J7jn29xkRebKz0VmMKO79GuWAXlgldmrFW5X1_aIkLZXL7lhKx4eBfgMxiSIRscebyAr10-rYqqLjuTmFnXAW9NZ55h3Nvt5bA1b63sQ4P3QQp7qjRQsz8uAnhyrR3Q3i7OrrpHBjN5JRQsIZGufQRNo4nnakR2kjtRNi4M40c-CVByqBRXJyzb4m8rHw5PT7p1Iso1huVrxs5-l0L9OW5NtfTGBZNg0dDOrwmYVnwtJ_Azs8eVn3KVub5dQL1ojR4O2UAcn-Qfd1x-41pT_pDkJHP2lnG4lWlofXZP77LI6dkRMW528RlB2Gw_sMfdGnlfbMbirB-U_Rn6cyB5XYzTnILfZXHtIkC-uR7h8_LHyhwBb05AsJtG42rMPckmhyyOo2OyjSsUESekmeL8jr1woPOsFWuhY4F1Jc2wguvDNbxq98lJ-Lv3bKuwwQNpoLa4AXkxvH6z8qhMAlOXeWdhtrOX_rXZfvoaSNWrawaBPUDOaqTlKQAYW3jCh5wzjyaGYosRyCqNvTPoIJaxljxkWBb6i51UfDhgIC-85EeprYGBF-_LjOCVndMVNKtYsQxtuGcwCxuRHDx0PWmrpAd51OrF4LbNtABsLtUlQTf2cCe9DktiApnEHQok3VWhc4d5yciqWu3SYQDXkS35MObu_6oBY57sTHK6l9_kHabPxGzFahRUS2YcPuRkZPaimfIscVzoaNq2h5vKDkluii992jI6nChOVrmAQ063ZxdwqRjcexfk9wqIezqvjnZ44tjI-_E6nCfulmPFctz9FphpN2lY3OgEky8Hvi7cI42h_hIMvDxvY0AUeyotR01rCJP2uxY9itnBnGp2ZlMfRSTmbjIxfm32nfTuQnjjrRawipVzh7zeAua_JxnKsnZUek2kzOYt78h4p8oEplhxePzxkTAYUML-b3utuaiRF0qV5UkDDxI7mxegHayj688G-970W-H_KEDmRNnP4UjlLv9AsjE1T_9xLDiIjt3ck1lfEawkgCcqvoVaRUJPArNjkMcOYtRZDq0-7UA7rsHbVBQM7Sbz36gUOjCkkhVPU20zfTAbCZ7Sudaq7ypCaRYrxm035KqwUPl9AaXdzPA0hvA01koejZAdVSSSbjKHR3upQlvKfb-cTaiM_vr8KMgT6k3IpOceLqyhVGCGvWMheYtn7qfINGdmoEugnYrlm61mHwqBCYzpIkrP_U-DWI8ZcXOvMTATBHI641wJTD9irhJY3jw75TuCthOxywNtq-A3jYewdmBBrrtmCjcQDuT7RYCYEqqzTvrWb9dNET5lS7pjZsMWePLg1LaiCtq2xKCqFBfCyM-A39L7cKjVcm-8BNbkme_mDbvCghM-BfwqXWHXSU5VbHvv77-4nLPU8cHiIOt0jnEmmbky6tUDNSuE7J1N3KKWIa9LKCdMcpTKjHaAnWUN25SqgHGiKjaW7RFLzD0v9agyNIcKN2mkuyarTMHZTI_xOTjGUpoomtSeB0qKw8Dk2A5DfB4vdDYp8EoU1JT7gtgupy2O7AwtQBGLuE2jLwEPQmNl7J-yR7LP7wBcmitzDCWaLDypPlopvou9T5QcZnjJgM1yx7KnaGo2tdR186WfgoxxlaLEE6o9E3WOnKq4bCwsrUwMCaBAVplAaPdCFQF2z0LwPIqxmcnBTI-JVOp8MS8X4aWIKiZaRPYejdxt105z6Hfbsv_MfaBA8gg5BUQXuobHv5d6Gal58PmC_zZwilVVPB6YVQpHUojUFkwKE5xM4qu_QSErRzWcNpzKKCJ8BrNlf6NNhioQ7XeV4ysFSOp_dx8WuXWAKjjPnltiE7_Ya9M2SVxIziqKaLMkYOUDr-1m0u05aEVkTjhhQNUnYLvxhge_OXspuA3Vw1e57_Xk8ZVr6lRrupLs9VBxARBkwF6DlPyxVthQbU_BTFxKemmF_c_rmn9sHcLOU1FrknWDM8u2qSrJGNjSwYreIC54_EJ1ri0n63vb6ktuLA7nhO6pxhYFWXERGKDw_4e7tNq0NjGyn0v77FiOB_V5tDl8jWHtrktGcSdJ1OXsKmFBQxQkjvhqM6qxijfxF58VziPUFIGp3LgkmpG1xgCmAABZ2e2936Nh8rUN9_WLLmL2liwCFUeQ-c56mQNafJLXBZC8T4DBxq2At8c4dR5ZZzIYEMANfbdfqVDf9lbUMc0XPdNj473RcEYNP2q1ftgU7kAcKcoMpohHJHLwQ_NN__ZuA27LbIfwA7_K_QgvL692MZV5Hx4qG2mhN0iqaICwvw8V72b2z9bmOxoGaYLamEV47MPlEM1sofHVgIfd17sS-oQ3wDxL2j_rvUVx9ugOHy-WLOsZhPNHTWHDs0Aki8kGtrRKlksLqdYE7CWsO6tEO1fpoYm05pPzoh0jFuyKOVsIsMfSu2wIUGVWWtizMwb42qk_PR1lT0hBbjECGvtDXgK-qgJRWKnPY1A2_h5xu9mAxkWmHkhaNtiT_mRc7FvD45htBC6gpfNz4cOLtpIpfTRvx1Ar7KJW1IzeOBrHSxGpM7wui_BENacToqVKW09SZPxM8GniSvzHatPShPEHo7dU0gAGZMyqUefYHxNYkLrzVOa0vdU7ccMbPpV7GdSQ4HH3Iwq-GUluS8Rq9W_AtIcq0HRayXAXB8jGLrtBIC8lz7vTrqVlP3IzvvwNihM4bMad8S82vbaE0hO25brXbxePcjDeSh89DNGbetYlXRmSYkL9EHeHbQcK9xY4-FlhbiFg3GDCVlhdzdQVX7I0xwjR05OvkLiYTjz9ecAb3AWNDFsWCa3BZxxaD9TEKXgjryfSJCrakF2MTdeYdnxbrXLCgGj_zpS5K6M2e1jJ9MooyRYqP4By1gr7545hwpL86TzJdT6PzgglLQ8mFltS1wHrT-IeD6T3NeV4-ZNpxsb8JuwP7iyafEJFNbYfzj0MCaxzmKIcUw2p_DPLjN3AY2DkRqklfKxZ3v5kTVnR1ztRTF6jYWYPh_ELyot-WWJNzr440urc0MOm0JSlSce6WVMPXGUoZtpi8twCyJoNlnZtVlMw3-S9sOZ7EhxhjU7LMQpUE4e5EsL9bLAb83J_8kLQIOYMsW0EeNW16HUQodneQjBWQet1u4z_zn_ImdtIJMzcBdzbNrEuifWf_6g6EfL9b2vsqPkqgwbtGPNyB3_b-MCDuIoE8u4my53igNJLxBUuKxvgcWtVcpBdU2f-LPTIwEDQb7MSBas1BlsbYkkMTS1OyS4lEYmx0K6Vadb8fciaJR_V69I0BnGD3jF_7p6kAMbzB6ozdJkgxRDQWjRBNh6wGcr7HzD3Cr8Ndcg-D6F4WEashfrJqqsiykq3YBvv8cJw1e_ufEfTNYPOz2Vt49Hzmr28Xe2SzR6t4sBH2ScHYObG3Ici8HiLb6BbB2iyB5tHXcB6-JyfYOjngaigWsAlIWvMCVAA0gENqxi9TdVYrwsDX9ioIVXHwYzgyav0QPAoUycaHfdN2oAGcmHlyJt6_I3-Sf-SMeMfeJbfhL7dqsi6LfGMqcBsXRti8lo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