diff --git a/tests/test_display.ipynb b/tests/test_display.ipynb
deleted file mode 100644
index b978ae9..0000000
--- a/tests/test_display.ipynb
+++ /dev/null
@@ -1,347 +0,0 @@
-{
- "metadata": {
- "name": "test"
- },
- "nbformat": 3,
- "worksheets": [
- {
- "cells": [
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "from IPython.core.displaypub import publish_display_data",
- "%load_ext rmagic",
- "",
- "publish_display_data('Assignment1', {'text/html':'Question 1
'})"
- ],
- "language": "python",
- "outputs": [
- {
- "html": [
- "Question 1
"
- ],
- "output_type": "display_data"
- }
- ],
- "metadata": [
- {
- "html": [
- "Question blah
"
- ],
- "output_type": "display_data"
- }
- ],
- "prompt_number": 1
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%%R ",
- "X = rnorm(40)",
- "Y = rnorm(40)",
- "plot(X,Y, pch=24, bg='red', cex=2)"
- ],
- "language": "python",
- "outputs": [
- {
- "output_type": "display_data",
- "png": 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RNQgsYAIA/HTyJP7ashWblFaioxARNQgsYHowC4xNRja0v/0OPz8/0ZGIiOo9FjBhh6sr\n3gmPxAtQYF5KGrZaL0Zhoe63zxARkf5YwA1cYmIifJ2cMTOvAADQEwq8ERKG3e7ugpMREdVvLOAG\nznn5ckyMiX9oFpjZuXdwbJM9VCqVwGRERPUbC7gBCwoKQvRxH4xWax96vC0kjImJg8uqVYKSERHV\nfyzgBkqtVsPhe0vMTUxBo3LGKh5XokHI4SP4888/BaQjIqr/WMANlPeRI3jqajD6VPAWMIWEOQkq\n2FtaQqvVlvscIiKqPhZwA5STk4OddsswNz270ucNgAItLgfh+LFjRkpGRNRwsIAbIHcnJ7wbEY1n\ndZgmb15aFjyWLEFeXp4RkhERNRws4AYmJiYGv25zw7SCIp2e/zwk9A2PgufmzQZORkTUsHAyhgZm\n7feW+CQ2HjcBALqd230nvwATly7FyIkT0aVLF0PGIyJqMFjADcyLPXvg5uSJ9wpYdyMLCwySh4io\noWIBNzBf2dqKjkBEROA5YCIiIiFYwERERAKwgKnOuHXjBpKTk0XHICKqFSxgqhNSUlJgPnw4vjWb\nxpG5iKheYAFTnbB59WrMSL6NJ68Gc2QuIqoXWMAke9evX8eNg4cxvkTDkbmIqN5gAZOsabVabPre\nEnMSkmEKiSNzEVG9wQImWTvh44N/BFzGwDJv1Rn5hfDb4or4+HiByYiIaoYFTLKVn58PNxtbzEvL\neujx1pAwOTYBTnbLBCUjqptKSkqwwtoaiYmJoqMQWMAkYztcXdEnPBLdy5m1aZRai0Tfk7h06ZKA\nZER106H9+xHpvBlOy/jlVQ5YwCRLCQkJ+MnZBTPzC8tdbgIJc5NS4KRUQq1WGzkd1cT3FhbwPnJE\ndIwGJysrC14rV8EmKw8xPicQGBgoOlKDxwImWXJatgyfxiagdSVzFveGAk8HX8Oh/fuNmIxq4uLF\ni4g64g132yXIzc0VHadB2bphA4ZGxaAzJMxNTIGjJb+8isYCJtkJCAhAvI8vRqurHnDDIiMHu1es\nRHZ2thGSUU2UlpbC8XtLfJ2ShoGRMXB3dhYdqcGIiIjAxZ27MKWwBADQBwo8dTWYRyIEYwGTrKjV\najhaKmGRlAKTSvZ+7+sMCYMjY7Dd3t4I6agmDu7bh2ev38BbUGD6nUKc2bodsbGxomM1CJusrDEj\nLhH/KPNval56NnbY2SEnJ0dgsoaNBUyycmj/frQL/hOvQEIetDr9TCosxjl3D0RERIiOTxXIzMyE\n14qVmJN598O+JSRMiY2H45KlgpPVf7/++isKz53HB9qHv9B2hYT3ImLg7uQkKBlxPmCSlXMnT+Kv\nJ5/A5I7t9VqvsLQUgQEB6N69u4GSUU1s27gRH0TF4pkye2AfaYDjfqfw+++/o2/fvgLT1V/FxcXY\nrLSCZUoapHL2t6YVFGHadjeM/PRTdOvWTUDCho0FTLLivHOn6AhUy8LDw3Fx5y7sLCoByhTw/SvZ\n7S2V6H36FzRqxI+j2ua1Ywd63grFqxUc7GwBCVNjE+C4ZAk27Nhh5HTEQ9BEZFD21taYGZeIZuWc\n038LCjx7/QYO7tsnIFn9lpqaikPr1mNOduXjpn+oAdJPnYa/v7+RktF9LGAiMpgzZ86g6NwFDNVW\nfEHdnMwceK1chczMTCMmq/+2rF2LUTFxaFfFxYwKSJiffBvOSiVKSkqMlI4AFjARGcj984/zUtIg\nVVICz0DCB1Ex2LZxoxHT1W83btzAtX0HMLFYt/t834QC/7x+E/u9vAycjMriSRciMog9Hh54+VYo\nXtHhe/6UwhJM3bkL4VOm4IUXXjBCuvptzaJF+DQ+EX9BAlD1/fQA8EFWDqYuWIBhH32ENm3aGDYg\nAWABE5EBpKam4siGjXDNyQd0uJ+7GSTMiEuEvfViOO370fAB67GsrCy82LMnfnviCb3XHaHVoqCg\nwACpqDwsYCKqdRvt7NAvKhaXodF9JS2QdPoMfH19MXz4cMOFq+eeeOIJWG/YIDoG6UAWBbx+/fpK\nT/736NEDo0aNqvJ1fHx88Msvv5S77Ny5c2jbtm21MxKR7gYNH46gJ55AqJ7r/Uerxcu9ehkkE5Hc\nyKKAY2Ji4OTkBDMzMzRv3vyx5e3atdPpdd566y106dKl3GWpqak8tEJkJO8PG4b3hw0THYNI1mRR\nwI6OjtBoNNBoNHCuwQDtnTp1QqdOncpd1r59e6hUqmq/NhERUW2SzW1Ia9asQU5ODvLyKr9pnIiI\nqD6QxR4wALRo0QJ79uwRHYOIiMgoZLMHTERE1JCwgImIiARgARMREQnAAiYiIhKABUxERCQAC5iI\niEgAFjAREZEALGAiIiIBWMBEREQCsICJiIgEYAETEREJwAImIiISgAVMREQkAAuYiIhIABYwETUo\nP9jaYpuTk+gYRPKZD5iIyNDCwsJwwcMTGlNTjBg9Gk8//bToSNSAcQ+YhLl9+zZ+sLNDUVGR6CjU\nQNhbW8M8PhmfxsTDecUK0XGogWMBkzBb1q5F2CYHHNi7V3QUagDOnDmD4vP+GAoFxqi1iPI+jqCg\nINGxqAFjAZMQN27cwLV9+7E4Mxf716xFRkaG6EhUjxUVFWGzUon5KWkAgEaQMCdRBUelEhqNRnA6\naqhYwCTEJktLmCeo8DQkjIiOheu6daIjkczl5+cjPz+/Wut6eXrilVtheLnMR95/oUCboKs4evhw\nbUUk0gsLmIzO98QJmP4RgPfuvf0mFZUiaM9ehISECE5GclVcXIyx/fph0vv/Q2lpqV7rpqam4vCG\nDfg85/HynpuejZ3LliE3N7e2ohLpjAVMRlVQUIDtNjaYl/r3IedmkDAzLhH2VtYCk5Gc7d25E72j\n4/ByeCQO/PijXuu6rFqFT6Lj0Q7SY8ueg4SBEdFwc3SsrahEOmMBk1HtcHVF77BIvPjIW28wFND4\n/wY/Pz9ByUiuUlNTcWjdephn52FOZg72rlyFzMxMnda9fv06/jp4CBNL1BU+Z9qdIpzd7o6YmJha\nSkykGxYwGU1SUhJ8nZwxM6+g3OXzb6djq/ViFBYWGjkZPSoqKgqSJCE0NFR0FGxZuxYjo2PRHhKe\nhoQPomOxbePGKtfTarVwUFrBPD4ZpuXs/d7XEhI+i42H45KltRmbqEosYDIa5+XLMSEmHk9W8GHY\nEwq8HhqO3e7uRk5Gj1q7aBG80Ajrv/0WWq1WWI67V8sfwMTiv/dgpxSW4I+duxAWFlbpuid8fNDk\njwC8q8PH3McaINXvFH7//fcaZybSFQuYjCIoKAhRx45jjLryD/PPc/JxbJM9VCqVkZLRo37++Wfg\nt4sYBxM0vngJvidOCMtir1Ti8/gkNCnzpa0ZJMyIS4TD4sUVrnfnzh242dpifppuh6oVkDAv+Tac\nLJV6X+RFVF0sYDI4tVoNR6USFokpaFTJoUAAaAsJY2Li4LJqlZHSUVkFBQXYZr0Y82+nAwDmp2bA\nzdYWd+7cMXqWkydPotHFSw+uli/rA60Checu4MyZM+Wuu83JCS+ERiAEGvhArdNPMrRoGXwNWzdv\nNvQfjQgAx4ImI/A+cgRtg66ir47f98aVaDDt8FH8OWMGXn/9dQOno7J2u7nhzdBw9Lj3u3oBCvQO\ni8QOV1dYLFhgtBwFBQXYvngx7FIzUNF+whcpaVimVKLf+fMwNTV9aFnffv1wbtECREqVf+F71Ata\nLQb071/d2ER6YQHTA0f27sVLr7+OXr161dpr5ubmYrP1YtimZyFYj/U+S0jCwhkz8EtgICQ9P0Sp\nelQqFY47OGB77h2gzJGKWXkFmOHsgo/Hj8czzzxjlCw7t23Dv0Mj8VIlX9pehgKv3ArDHk9PTP/8\n84eWvd23L97u29fQMYlqhAVMAICQkBC4fL0IHXr2wA4/P5iYmNTK6+bk5KD7q6/gwCsv673uO089\nhczMTLRp06ZWslDlXFauxNjoeLR55DTBE5AwMSYezsuXY6URDs8mJSXhhKMT3PIe/iJQHvOcfJiv\n34APP/kE7dq1M3g2otrEAiYAgL2VFb5OTsUvRSU4cugQxo4fXyuv+8wzz2DzgQO18lpkOMHBwQg9\nfBSWpRqUV3qj1Vr4HPdB4MyZ+Pe//63Ta2ZnZ8P2m29gs3q1Xl+inFeswPjouAqvli+rHSSMio6D\ny+rVsF2/XudtEMkBL8Ii+Pn5Qev/OwZBgbkZd4fmy8nJER2LjESj0cBBqcScRBUaV1B6jSDBIjEF\njkol1OqKB7Uoy93REU33HdTpnt37goKCEOV9DGOruFq+rIklavx14CD++usvndchkgPuATdwhYWF\n2GptDdvb6QAU6AoJ/4uMhZujIxZYWYmOR0Zw3NsbrQKC0L+K7+N9oMDRK8HwPnIEo8eOrfS50dHR\nOO/uAbecfMzatRthU6bgxRdfrDLLvh07cKXgDj5+Tr9zzQWlJTi4Zw9e4dXzVIewgBu43e7ueCMk\nHD3LfPiaFRRhups7Rk2ahG7duglMR4aWl5cHj6VL8UN6Fqo63wrcnbzga7tlGDRkCFq1alXh8xxs\nbTE1NgGtytyz67RvX5Wvv9bBAWsdHPT5IxDVWTwE3YCpVCoc22SP2bkP3+PZAhKmxibAwdZWUDIy\nFg8XF/SLiEY3HcoXAJ6FhHcjouHu5FThc/z9/ZF56jRG3Jtm9wOtAkWV3LNL1FBxD7gBc1m5EmNi\n4tC2nA/fERrA+5cz8Pf3R79+/QSkI0NTqVSwXLwYc5q3wrKmTXVeTwMt1i9ZgnFmZo/dllRSUgKn\n7y2xSJUKRZnv9/NT0rDMUol+Fx6/Z5eooWIBN1DBwcEIPXIU35eUf9WrAhLmJ9/GOktLvHPmDBo3\nbmz8kGRQHTt2xPmLF5GVlaX3uqNaty73nuD9Xl7ofuMW3njk4NrLUOCVkDDs8fDAdHPzamcmqk9Y\nwA2QRqOBo5UVzBNUMK3kLMQbUKD7X7ew38sLk83MjJiQjOVf//pXrb1WRkYG9q1eA5esXJT3pc48\nJx/mGzbiw9Gjec8uEXgOuEE67u2NFgGBGKDDr39OVi72rV6DjIwMIySjusx13TqMiI5FxwrOJ5e9\nZ5eIWMANTl5eHjyX2mFemm6HHTtCwojoWLiuW2fgZFSXhYaGInCPFyYVVT6TEO/ZJfobC7gKAQEB\nkCQJ/v7+oqPUiu2OjngzPBJqaBEOjU4//YpKcGHnLty8eVN0fJKpTUorzIpLQrMqrqY2hYTP45Ph\nYGUldJ5hIjngOeBKlJaWYuOiRTiDxnD89jv0Pvtrnb+CMz8rC9F93sEGE/2+e7VXq3kYmsrl5+cH\njf9vGKzj9/n3oMDRe/MMj/jwQwOnA+ZMnowdBw4gPSsL//jHPwy+PSJdsYArsd/LC92u30R/KHD2\nZgj27twJs1mzRMeqEas1a0RHoHqksLAQG7/5Fl/cToc+x4g+Ss3A/Jkz8V50tEFLMTg4GJnnLmBp\n42Zwd3bG/G++Mdi2iPTFAq5ARkYGfly9Bk73rug0z87DnHXrMXzkSF7BSbLxzdy5WLd5M27fvi3k\nfXnnzh30HzIYv739tt7rmrVqiYKCAoMVcNkxrl+DhBlbXPHxhAno2rWrQbZHpC8WcAW2btiAYVGx\nePreOa32kPBxdCxcf/gB1mvXCk5HdHcKyagTvthq2gyb16yBjYAL5dq0aQPlDz8Yfbu6eHSM60mx\nCXCyW4a127cJTkZ0Fy/CKkdoaCgu796Dz4pKHnr802I1/ty3Hzdu3BCUjOhv9lZ3L3yaXKzGtX0H\n+L4s4/4Y1/PS/77af5Rai6STP+HSpUsCkxH9jQVcDntra8yITXzsis4mkDA7Lgn2nCWIBLs/heRg\nKGAKCeYJybBXKo22/dU2Nvhu7lyjbU9fHi4u6Bce9dAY1yaQMDcpBU56TKlIZEgs4EecPn0aJef9\nMbSCv5r3oYDJxUs4efKkkZMR3XV3CsnFmHc7/cFj70GBxhcvwdfX1+Dbj46OxsVduxF53AfXrl0z\n+Pb0FRcXh19ct2L6naLHlvWGAk8HX8Oh/fsFJCN6GAu4jKKiImxRWmF+mQ+28sy/nY7ti21QUFBg\npGT123Fvb0iShMjISNFR6oTd7u54PSTsoSkkAWBeaoZR3pcONraYFpcIiwQV7C2Vsruf13HpUkyO\niUfrCu5JtsjIwe4VK5GdnW3kZEQPYwGXscfDA6+GhOHlKv5aXoICb4VGYOc2XsxRU3l5eXC3XYKD\naIT1330vOo7s3Z9C8vNHppAEgBehQO+wCOzYurVWtpWQkICxw4YhNzf3wWMXLlxA1i93pxocCAX+\nEXAZJ3x8amV7teHixYtQ/eSHkZqKn9MZEgZHxmC7vb3xghGVQ3YFXFpaiszMTKNv9/bt2zi6cRNm\n5+Tr9PxZeXdwwtEJycnJBk5Wv3m4uOC/EVEYCROU+v+GU6dOiY4ka5VNIQkAM/MK4OvkjKSkpBpv\ny3GpHXqe/w3bHRwA3J1q0NlSiXmqVCjubX9+WhbcbGyRn6/bvxtDUqvVcLJUYm5SCkyqGJFramEx\n/D08edSFhJJFARcXF0OpVKJLly4wNTVFmzZt0Lx5c7zyyivw8PAwSobNq1fjk+g4tNNxYvI2kDAu\nJh7Oy5cbOFn99eBcXX4hgLtzxrpaW6Oo6PFzd3R/CklvjCupePfuSUiYEB1X4/flpUuXkOh7Egvv\nFOG8mzuio6PLnWrweUjoEx6JHa6uNdpeREQEJElCWFhYtV/j4L596HztOt7W4WOtOSRMi02Ag41N\ntbdHVFOyuA/4iy++gEqlwokTJ/DPf/4TzZs3R05ODm7evImvvvoKhYWFsLCwqPJ1srKyKjyvk5OT\ng5KSknKXxcXFwcXNDYM7dcBZSbcCBgAttDi5cydmLlqEbt266bwe3fXoubpeUOC1W+HY7e6OmTr8\nvhsSrVYLB6US5gnJlU4hCQBj1Fr4HDuOoJkz8dZbb+m9LbVaDSfl3T3JllBgamwCfvj+eyRcu17u\nVIMz8wsx3dkFH48fj86dO+u9PQBY+/Ui7EMj/LBoEbbeuyZAH1lZWfBauQr2meVPhVie4VoJ3mfO\n4ty5cxg4cGA1UhPVjCwK2M/PDxcvXkTHjh0fPNa6dWv06dMH9vb2sLW11amAT506hRMnTpS7LCAg\n4KHXL6tr1674MzQUhYWFemdf27Rpha9LFfvjjz+QfPLnx87VfZ6bj883bsKHo0ejQ4cOYsLJ0HFv\nb7S4HKTTFJKNIMEiMQUOlpbw+OknKBT6Heg6fOAAOgVfQ+972xqhAfacOImXiovLnWqwNaS7g1ws\nW4bV1dgTPnnyJEwu/oHRMMG5PwKqNUa099GjCIiKgvWzz+i1XpFGjXVLl2LgmTN6rUdUG2RRwK+8\n8gp+/fVXfPrpp48t8/Hx0XmIvXHjxmHcuHHlLluwYAFUKlWF67JEjefBubrk2zB5pFCegoTRMXFw\nWbUKSzdtEpRQXvLy8uCxZCnWpA15D98AACAASURBVGVB1727vlDg6JVgHD18GKPHjtV5W9nZ2di9\nfAU2ZeQ82JYCEr7PL8QaqFGCRmhcToZP1FocP+GLgIAA9O7dW+ftFRQUYPtiG9ilZgBQ4IvUTFja\n2OK999/Xa4jKz6ZMwXvvv6/z88tq06ZNtdYjqilZFLCdnR0mTZqEjRs34vnnn0erVq2QnZ2NW7du\nobS01Cj3NpLxHNy3D8/8ef3BHtajxpdoMO3wEVybMQOvvfaakdPJz/nz53E2JASWXTshLTkZbUtK\nkWmiQMt27dGkadMK1yvVaHBl9Wq9Cni7vT0GRcagyyMl+wYUeAkaHIQGn8LksfVM7u11O1oq4en3\nM0xMHn9OeXZu24a3QiPw0r33QndIeCfs7jlliwULdM5tYmLCMZ6pzpFFAb/55pu4evUqLl68iJiY\nGKhUKrRr1w4WFhYYMGCA3ueDSL6ys7OxZ8VKOGT+vYf1KFNIMI9Phr2lEtt9jjf43//w4cORWViA\nlZaWeGqDA2ZAwlW1Bhu6P4+dZ06jcePGtbKdyMhI+Ht4wrOwGOX9bubABBYoxVAo0Kac5f+BAt7B\nf+LwwYMYN2FCldtLSkrCCUcnbM+789D2ZuUXYMa9c8rPPKPfIWWiukQWV0EDQNOmTfHee+9h+vTp\nsLS0xKxZszBw4MA68+F76bffEBERITqG7G3buBFDomLRuYpDqQOhQPOAQPgcP26kZPIWEhKCIK+9\nmFRcCgB4Ewo8/9dN7PfyqrVtONjYYFpsAppX8LvpCAkfQoFtqHgYR4uMHOxevkKnQS6cV6zA+Oi4\nx8r8CUiYGBMPp2XL9PsDENUxsingukylUuH7SZNhOW06x5itREREBH7z3ImphcU6PX9eWiY2f28p\ni3tMRbO3ssLsuCQ0LVNWc7JysW/NWmRkZNT49c+dO4fcM2cxXFv5F6NJUOA8NFiLUuyC+rGfc9Dg\n5fBILLW0rPR1rly5gkjvYxirLn8UrTFqLWJ8TiAwMLDafyYiuZPFIei6zmXlSkxPSsHN3Dwc+PFH\nTJw8WXQkWXJYbIPpcQn4h47f+56HhD73zgfOXbjQwOnk6/7EC4Me+XvrCAnDo2Lgum4dLFeurPbr\nFxcXw0VphW9VqZCq+N00g4Qv0QjOb72GsRXcmdAdwP8GDarwNTQaDRwsLWGRmIJGFWzPBBLm3jun\n7P7TSZ3PKRPVJSzgGgoODkbo4aOwLNXgdmYuvli5Ch+MGIEnnnhCdDRZuX79OjwOH0ZBl2dQ1UFl\nrVaLdJUKrUtKkKVV4NLSpZhgZoa2bdsaJauc3J14wRq2t9NR3gGryUWlMNvjhVAzM7z00kvV2saP\nu3bhpRu38LqOX4yGQoFj8Yno3KULhgwZovf2vI8cwZNBV/HfKrbXBwp4X717JfeYCu5uIKrLWMA1\ncPebvBJzElVoDAWeATA0KgZbN27Et0uXio4nK6+++iquhdyqcDCUsvZ6eqK1vSNmlmgQodGipNvd\nwVkaot1ubngjJPyxiRfuawYJs+KSsMnKCpsPHtT79dPS0rB92XJ8mZ0Dfe41ePd2GmZPmoywxAQ0\nadJE5/Vyc3Oxw24Z1qVnQ5dbquamZ2OB3TIMHjoUrVq10iMhkfyxgGvguLc3Wl0OQv8yH45TCktg\ntmMnIqZMQffu3QWmkx9dRgtLTExE0P4DcLtTjCehwIsA/oyOxW53d8yS8fyzhqBSqXDM3gHbch++\nSvhRQ6DAUf/fcerUKQwePFivbTRt2hQT51ogusyEC7pa9vTT0GgqmfWgHO5OThgQEYXndLyfuSsk\nvB8ZAzdHRyzgPNxUz0hauc0lZiD3B+LYu3dvrbxeXl4ePuvXDz/8eeuhSb8BwFfS4NSEMXCspW01\nJEoLC7yyzQPjy1zLlg4tZr3wHLZfON+gRsey+fJLdN+8DZNKq/4nehMa2PV+E3vOn9drj9SYkpOT\n8cJzz2FOy9b4h6T79Z9qaLEpJwthUVG8LYlq3ddff43JkyfjX//6l9G3/dge8DfffAMbGxu0bNnS\n6GHqEg8XF/QLj3qsfAFgmFbCsbPn8euvv+K9994TkK5uCgoKQvRxH9iotSi7x9cWEsY0sNGxgoOD\nEXLv2gJdDtXWhXG0O3XqBP9Ll6o1D+/YVq1YvlQhn+PH8dWcObgRFSXbL6DleayA4+Li8Nprr2Hn\nzp3o37+/iEyyd38WH/c7RSjvw1GChHmqVKxSWuG/587C1NTU+CHrGLVaDYfvLTG3gitjx5doMO3Q\nEfw5fTpef/11AQmNR6PRYPXChfg0MRm/QwKg20Gqd3LzMGXRN7IeR/uNN94QHYHqmfz8fLjZ2GJq\nVi62Ozlh3tdfi46ks8cKeN++fdi7dy/Gjh0LMzMzLF++nAXyiEdn8SnPq1Cg561QeO3YgWmzZxsx\nXd3kfeQInroajD4VXGxkCgnmCclwUCqx3cenzgzQUh35+fnoP2gQrr6o/1XN5iYKvSdfIKrLdri6\nok94JGbeKcKMzZvx8fjx6NKli+hYOin3IqxPP/0UgwYNwqJFi/D2229j/PjxD5b17NkTo0ePNlpA\nubl48SJUP/k9NotPeeZk5+HzdesxYtQonSeUaIhycnKw024Z1ldxZexAKOB9b3Ssjz7+2HgBjaxl\ny5aYp1SKjkEkewkJCfjJ2QUe+YV3Z+WKSYCT3TKs2bZVdDSdVPhVWZIkNG7cGCqVCn/99deDn/j4\neGPmk5UHs/gkpcBEh/Ny7SBhVEwctqxda4R0dZe7kxPejYjGszr8nc5Ly4K77RKOjkVEcLJbhkmx\nCQ+ORo5Sa5HoexIBAQGCk+mm3D3gvXv34ssvv8TAgQNx/fp1tG/f3ti5ZGn/3r1o/+c1PAsJt3U8\nLze0WI15e3/EtSlTOLNPOWJiYvDrNjfsKCj/fPqjnoeEvuGR8NyypU6d6yGi2hUQEID4E75YWuai\nTRNIsEjSf1YuUR4r4AkTJuD06dNwcnLCxIkTRWSSrRuBgQjv2gVfddfvnLikViP05k0WcDnWfm+J\nT2LjcROAzhcb5Rdgoq0tRk6YgM6dOxsyHhHJkFqthuODo5EPH8h9Bwp4B1/D4QMHME7mHfZYAbdu\n3Ro3btyQ7VWUIi1vILfAGNOLPXvg5uSJ9wpYdyMLC9BAbmEnokccPnAAHYP/xDsVnEW1yMjG/y1f\ngSHDhqF169ZGTqe7xwp469a6cfKa6oevbG0f/HdBQQH8TpzAoGHDGuzQk0RUuezsbOxesRIbMyqe\nU7wLJAyKisF2e3t8bWNj3IB64P0KJBsHvLxwdN4X2Ltjh+goRCRT2+3t8b/IaHSt4pqRqQXF8Pfw\nRGRkpJGS6Y8FTLKQlpaGgz+sg+3tDBzbZA+VSiU6EhHJTFRUFPw9PDG1oOo5xVtAgllsAhy4B0xU\nuS1r1+Kj6Fh0LjPsJBFRWfaLF8MsLhEtdJzMY4RWQs6Zszh//ryBk1UPZ0Mi4W7evIngH/dhR7Ea\ngIRxJRpMO3wEf86YUe+HnaSaW2RhAR8fH9yIiZH9bSdUfZcuXYKjlxc6t3wCG/VY79m8fJh/NgW3\n4mINlq26WMAknL3SCrPjk9Hk3gEZU0iYk6CCvaUl3E6cqNfDTlLNhISEIPrESYzKL8D+vXvx6Wef\niY5EBvLOO+/guI+P3lNgAsD45583QKKaYwGTUCdPnoTi94v43yNnQwZAgaOXg3D82DF8PHKkoHQk\nd/ZWVpgdn4RekDB/5Sp8MGIEnnzySdGxyEBGjBghOkKt4jlgEqagoADbF9tgfmpGucvnpWXBY8kS\n5OXlGTkZVSYrKwuSJOH/Zs4UmsPPzw9a/98xCAo8DQnDomKxdcMGoZmI9MECJmF2btuGt0Ij8FIF\nb8O7w05GwXPzZiMno8ps3bABjk2aI/HUL7hx44aQDIWFhdhqbY15t9MfPPZZUQku7dqNsLAwIZmI\n9MUCJiGSk5NxwtEJs/LuVPq8GfmF8Nvi2qAnAZGTsLAw/LFzF8yKSmAenwx7pZWQHLvd3PBGSDh6\nlvkIawYJM+IS4bB4sZBMRPpiAZMQzsuXY1xMPNpUcTtBa0iYHHt3ijESz2HxYsyITUAzSHgPCjS6\n+AdOnjxp1AwqlQrH7B0wO/fxL28faBUoOncBZ86cMWomoupgAZPRXblyBZHHjmNsqW5XM96fYuzS\npUsGTkaVOXPmDIrOXcAH+PtWn/mpGdhmvRgFBQVGy+GyciXGRMehbQVf3uanpMHFUoni4qoHayAS\niQVMRqXRaLD+228xPUGF2wASoa3yRwVgZlIKbOfNg1qtFv1HaJCKi4vhYqnE/JS0hx5/EQq8HRaJ\nndu2GSVHcHAwQg4fxfhKvry9DAVeDQnDHg8Po2Qiqi7ehkRGlZSUhMLSUuzo21vvdZtIEhITE9G1\na1cDJKPK7PHwwCshYXi5nO/ss/LuYKajEz4aOxZPP/20wTJoNBo4Kq0wJ1GFxlXsO3yek4/PN2zE\nh6NHo127dgbLRFQTLGAyqs6dO+PQ2bOiY5AeUlNTcXjDBmzNyUd5s888CQkTouPgvGIFVjg7GyzH\ncW9vtLgciAE6HLhrBwmfRN8d0tSWtyaRTPEQNBFVymXVKnwSHY92lVwwN0atRZT3cQQFBRkkQ15e\nHjyX2mFeWpbO60wsUeOvg4fw119/GSQTUU1xD5iIKnT9+nX8dfAQvim5O053RRpBwpxEFRyVSrif\nPAmFona/2+/ZtQuBoaHY2km/w8ltioqx+OuvceTnn2s1D1FtYAGTLBQXF+Po/v3437BhaNu2reg4\nBECr1cJBaQXz+GSY6nCw7L9QwDvoKo4ePozRY8fWapZpM2bgzbfeqta63bp1q9UsRLWFBUyy8JOv\nLw58tRCRN2/CcuXKSp/7nYUFXnztNcy0sDBSuobphI8PmlwKwLt6nKmam56NRcuWYfDQoWjZsmWt\nZWnSpAl699b/wj0iOWMBk3B5eXnwWLIUq9KzYb1nL0KmTkWPHj3KfW5QUBCivI/jxukz+HjsWF7h\nakD2K1dCbaLAZ8/pd2VzYXYOTp06hdGjRxsoGVH9wAIm4Tw3b0bfiCh0h4SZcYmwt7LG5kMHH3ue\nWq2Go1KJL5JvI6JxI17hamBHf/kFOTk51Vq3Y8eOtZyGqP5hAZNQcXFxOLXFFe75hQAkDIYCR/1/\ng5+fH4YMGfLQc72PHEHboKvoCwX+XaKG2cFDuD59Ol599VUx4eu55s2bo3nz5qJjENVbvA2JhHKy\ns8OkmHi0LnOF7bzb6dhqvRiFhYUPHsvNzcUOOzvMTc8GAJhCgnl8MhysrKDVao2em4iopljAJMyl\nS5eQdPJnjHpkVMFeUOD10HDsdnd/8JiboyPejYjBs2WK+l0oYPpHAHxPnDBWZCKiWsMCJiHUajUc\nv7fE3KQUmJRzf+nnOfnw3mSPlJQUxMTE4Ox2N0wrKHrseV+kZmK7jS3u3Kl8WkMiIrlhAZMQh/bv\nxzN/XkfvCt6CbSFhTMzdoQQdbG0xJTYBLcsp6u6Q8E54JHa4uho6MhFRrWIBk9FlZ2dj94qVsMis\n/Arb8SUa/On1I8J9f8JHlcxcOCuvACedXZCYmFjLSYmIDIcFTEa3bdMmDImMQedKhjYE7l5o9UVq\nBkzTUit95hOQMDEmHk7LltVuUCKSlYDff8f169dFx6g1LGAyqsjISPzmuQNTCnWbLH0gFHgGCvii\nkl1g3J0MIMbnBAIDA2sjJhHJTEZGBpRmZrCcMgUFBQWi49QKFjAZ1TpLS3wam4BUADHQ6vQzEwqs\ngBr5qPh2IxNImJuYAkdLJdRqtfH+QERkFFvXr8eY+CT0jYrFzm3bRMepFRyIg4wmNTUVxSUl8B34\nX/hW8dyYiEggMQn/0N7d820EwBNqdKzisLX2ciB27diBaTNm1E5oIhIuNDQUl3d7wbOoFAVFpZjl\n6ISPx41Dp06dREerERYwGU27du3gduSITs+9evkyfjt37rHHU6tYrzeAQYMH6x+OiGTL3soaM+IS\n0QwKNAMwLiYezitWYLmTk+hoNcICJll68+238ebbb4uOQUSCnTp1CqX+v2FomTOmY0s1mH70GK7O\nnIk333xTYLqa4TlgIiKSpaKiIrhaW2N+StpDjzeGhDmJKthbWkKjqfwCTTljARMRkSzt8fDAa7fC\n0aucquoHBZ4MuopjR48KSFY7WMBERCQ7KSkpOLphI2bn5lf4nLlpWfBcaoe8vDwjJqs9sjgHvH79\nepSUlFS4vEePHhg1apQRExER1U/2a9fiq+++Q1RUFLp16yY6ToU2r16N0TFxaFfJnQ/dIGFARDTc\nnZ3x5XffGTFd7ZDFHnBMTAwsLS0REhKC+Pj4x37S09NFR5SVq1ev4q2ePevNzehEZBxJSUk4vXUb\nDihMscl6seg4Fbp27RpuHjqM8SVVn9+ddqcQp7duQ1xcnBGS1S5Z7AE7OjpCo9FAo9HA2dm52q+z\na9cuHD58uNxl165dQ+fOnav92nKhVqux6dtv8VFsArZu2oT/s7QUHYnKkZ2djcLCQnTo0EF0FL0U\nFBTgm7lz8f2yZfXi3ws9zHn5ckyIicdIDXDizK84f/48BgwYIDrWQ7RaLewtlTCPT4apDvuIrSDh\ns5h4OC5Zih/c3YyQsPbIooABYM2aNTA3N0deXh5atGhRrdcYN24cPvroo3KXWVpa1os96aOHD6Pd\nlT/xfwXFmL7NDSM//RTPPfec6FhUhlarxdyxY5EQHYNjQYFo3bq16Eg62+3mhkaHjsLJ1BSrOcNU\nvRIUFISoY8exWK2FBAnzVKlYp7TCf86chqmpqeh4Dxw/dgwmlwLwAiQkVTL6XVm9NcDBkydl+YWi\nMrIp4BYtWmDPnj01eo2mTZuiadOmFS4zMTGp0euLlpOTg512y7AxIxstIeGz2Lvf+tZ7eoiORmUc\nP3YMbYOv4Z38O9hub4+vbWxER9KJSqXCcQcHbMu9g4UnfBEQEIDevXuLjkW1QK1Ww1GphEViChrd\n26t8Awq8cOMW9u3ejSkyGjku7M8/oeraBd+/2F2v9TRqNaJCQupUAUMrU7Nnz9ZmZ2fX2ut99dVX\n2okTJ9ba64mwccUK7cZmLbUlaKItQRNtEUy1Uzo9o/3tt99ER6N78vLytKPeeEMbAlNtJky1o7r9\nUxsZGSk6lk4Wf/GFdkejptoSNNFeQGPtZ//7n7a0tFR0LKoFhw4c0C5s2+7BZ8f9n3iYaj/q0VOb\nlpYmOqIwCxcu1AYFBQnZtiwuwirPzp07UVhYKDqGbERHR+PsNjdMKyh68JgCEuYl34aTpRKlpaUC\n09F9nps3o294FJ6HhBaQMDU2AQ42tqJjVSk4OBihh49iXOndi17+AwU6XL2GI4cOCU5GNZWbm4sd\ndnaYm5792LKOkPBhVCxc160TkIxkW8D0MEfbJZgal4AWj1yS/xYUeO76DRz48UdByei++Ph4+G3e\nghn5f39xHKEBcu5d7CJXGo0GDpZKzElUoXGZ99fcjGzsWrYc2dmPf3BT3eHm6Ih3I2LwbAW380wq\nLsUVr724deuWkZORbAvYzMyswvO5DY2/vz8yfjmNDyu4In9OZg72rlyFzMxM4wajhzgutUNYVBSW\n4O/pEBWQMDf5NpwtlZXe6y7ScW9vtLochP6PfBx0hYT3I6Ph5uAgKBnVVExMDM5uf/jI2aOaQsKs\nuCQ4WFsbMRkBMi5gV1dXtGrVSnQM4UpKSuBsqcS85NtQVPAN9mlIGBYVi60bNhg5Hd136dIlBBw+\njMGQkAwt/sLf35begAIv3gzBvhpeZGgIeXl58Fi6FPPSs8pdblZQjPPuHoiOjjZyMqoNDra2mBKb\ngJZVTOM5CApo/X+Hn5+fkZIRIOMCprv2e3nh+b9u4s0qflWfFZXg0q7dCAsLM1Iyuk+tVmPjt9+i\ncWYmvkAjmMMEzlBDW+YWCvOsXOxfs1Z2t8J5uLigX3gUulXwAd0CEsziEuFgK//z2PQwf39/pJ86\njY90nKtg/u10uFpZ89obI2IBy1hGRgb2rV6DOVm5VT63GSTMiEuEw2L5jm5TXx0+cABZlwMxDAp0\ng4T3oIApgJ/L7AV3hIQPo+NkdbFLXFwcTm1xxYw7FR+eBO6ex846dRoXLlwwUjKqqdLSUjgrKz9y\n9qgeUODN0HDsdnc3cDq6Tzb3AdPjXNetw/DoWHTU8R/QB1oFvM9dwJkzZ/D+++8bOB0Bd0e8crWx\nRZOCAkxD4wePz4cJLKHGQCjQ7N7vb1JRCcy89iLEzAw9evQQFfkBx6VL8VlsAlpV8f5S3B+0wVKJ\n//x6Bo0bN670+STelStX4HPpEkqf66LXemqtBlEbNmLW3LkGSkZlsYBlKjQ0FMpVq+CIRvDUY71X\nUlIxecwYxKakyGp0m/pqu709mkRGYzpMHiqyF6DAf6DBLmjwOe4OAHP/Yhd7KytsFnx7z8WLF6H6\nyQ8jdTw8+WDQhj178Nm0aQbNRjXXu3dv5BZVfmSDxGMBy9RLL72E/fv36z3hgimAg88/z/I1gsjI\nSBzbvAVdNWp8VM4/pZkwwQyUYgQUeOZeOQ+GAt73LnYZMmSIsSMDuHvOes3ChZiWpII/JEDH4f76\nZuVg+hdfYPjHH6NNmzaGDUnUALCAZWzcuHGiI1AlfI8dQ3zqbayBCUzKOYz7JCSMhwLDWzRBu7Zt\nHzxeotFA7ekprIDv3LmD/40YgeB/vaX3uvOamEKr1a2wiahyLGCiamrXvj0mtHoS/86s+CK5cVDA\nt3VrLDp0EG+9pX/hGULLli3xBe/5JBKOV0ETVUNWVha8Vq7CnMycSp/XCBIsElPgqFRCrVZX+lwi\nalhYwETVsHXDBgyNinlwbrcyfaFA26Cr8D5yxAjJiKiuYAET6Sk8PBwXd+7C1ELdh5acm56NHXZ2\nyM2t+p5uImoYeA6YSE+233yD9PR0rOjwlF7rtU3PhNvWrfjq668NlIyI6hIWMJGeHLZvR3h4eLXW\nfeONN2o5DRHVVSxgIj099dRTeOop/fZ+iYgexXPAREREArCAiYiIBGABExERCcACJiIiEoAFTERU\ny9RqNXJycjhuNlWKBUxEVMs8XF0x4qUeuHz5sugoJGMsYCKiWpSSkoJjm+xhp0rjGOBUKRYwEVEt\nclm1CqNj4tAfCnS4eg1HDh0SHYlkigVMRFRLrl27hluHjmB8iQYAMDcjG7uWLUd2drbgZCRHLGAi\nolqg1Wphb2kJ84RkmN6bJasrJLwfGQ03BwfB6UiOWMBERLXA5/hxNA8IxMBHPlbNCopx3t0D0dHR\ngpKRXLGAiYhqKD8/H+62SzAvLeuxZS0gwSwuEQ62tgKSkZyxgImIashzyxb0DY/E8/cOPT9qhAbI\nOnUaFy5cMHIykjMWMBFRDSQkJOBnl82YkV9Y4XMUkDBPlQpnSyVKSkqMmI7kjAVMRFQDTnbLMCk2\nAa0r2Pu97w0o8MKNW9i3Z4+RkpHcsYCJiKopICAACSd88YlatyEnzbNysX/NWmRkZBg4GdUFLGAi\nompQq9VwtFTCIikFJlXs/d7XERJGRMfCdd06A6ejuqCR6ABERHXRzZs3cTLgElKf66zXeloACV5e\nmLVgAdq1a2eYcFQnsICJiKrh1VdfRVpurugYVIfxEDQREZEALGAiIiIBWMBEREQCsICJiIgEYAET\nEREJwAImIiISgAVMREQkAAuYiIhIABYwERGRACxgIiIiAVjAREREArCAiYiIBGABExERCSD7Alar\n1SgqKhIdg4iIqFbJooDj4+MxdepUtGjRAoMHD0ZERMSDZQcOHMCUKVMEpiMiIqp9sijgjRs3olOn\nTggMDESfPn0wYMAAhIWFiY5FRERkMI1EBwAAX19fXL16Fc2aNYOdnR169eqFoUOHwt/fX3Q0IiIi\ng5BFAffq1QuBgYHo378/AGDixIlISkrCsGHDYG5urvPrREdHIz4+vtxlCQkJKCkpqZW8RERENSWL\nAp4zZw7GjRuHBQsW4LvvvgMALFy4ELm5uViwYAFGjRql0+tERkbiwoUL5S6Lj49Hq1atai0zERFR\nTciigIcMGYLIyEhERUU99LitrS0GDhyIyMhInV5n0KBBGDRoULnLcnJyoFKpapyViIioNsjiIiwA\naN68OV599dUH///5558jJycH7777LmbOnCkwGRERUe2TTQE/aufOnSgsLBQdg4iIyCBkW8BERET1\nmWwL2MzMDE2bNhUdg4iIyCBkcRFWeVxdXUVHICIiMhjZ7gETUd2Xn5+PdcuXIysrS3QUItlhAROR\nwez19ETUhk1wc3AQHYVIdljARGQQKpUKx+ztsTgzF/4enjrfz0/UULCAicggXFauxNjoeLSDBLPY\nBDjY2IiORCQrLGCqE7Kzs/Fi1664ceOG6Cikg+DgYIQePopxpRoAwAithNwzZ3Hu3DnByYjkgwVM\ndYLjihWYnZKGDd9+B61WKzoOVUKj0cBBqcScRBUaQwIASJAwT5UKF6UViouLBSckkgcWMMnezZs3\nEfzjPswtVuMfAZdxwsdHdCSqxHFvb7QMCET/Rz5eXocCL924hR937RKUjEheWMAke/ZKK8yOT0YT\nSJiflgU3G1vk5+eLjkXlyMvLg8fSpZifnl3ucvPsPBz4YR3S09ONnIxIfljAJGsnT56E4veL+N+9\nt+rzkNAnPBI7OFCLLHm4uKBfRDS63Tv0/KgOkPBRdBy2/PCDkZMRyQ8LmGSroKAA2xYvxvzUjIce\nn5lfiJ+cXZCQkCAoGZUnLi4Ov7huxfT8yidRmVRciqt7f8StW7eMlIxInljAJFu7tm/HW6EReOmR\nt2lrSJgUmwCnZcsEJaPyOC5diskx8Whdwd7vfU0hYVZcEuytrIyUjEieWMAkS8nJyfBxcMTsvIJy\nl3+i1iL+hC8CAgKMnIzK88cffyD55M8YqdHt+YOgAH67iJ9//tmwwYhkTLaTMVDD5rx8OcbFxKNN\nBXtTJpBgkZgCR0slPP1+VPqb6QAACoFJREFUhomJiZET0n1qtRo/fP01LJJv4+5d2rrdJvbZ7XTM\nm/05BoSGoFmzZoaMSCRLLGCSnStXriDy2HFYlWqASg5n/gcKeAf/icMHD2LchAnGC0gPSU9Px7Pd\nu+NYhw56r9uvcWNkZmaygKlBYgGTrGg0GjhYKmGeoEJjHc6QWGTkYMHyFRjywQdo3bq1ERLSo9q3\nb48NO3aIjkFU5/AcMMnKsaNH8WTQFfTT8a3ZFRLej4zmbDtEVOdwD5hkIy8vD9OnTMGcYjW2Nq78\nStqyFKWl+MrGBp989hm6detmwIRERLWHBUyy0aJFCxz/+edq3d/r07Ily5eI6hQWMMlKv379REcg\nIjIKngMmIiISgAVMREQkAAuYiIhIABYwERGRACxgIiIiAVjAREREArCAiYiIBGABExERCcACJiIi\nEoAFTEREJAALmIiISAAWMBERkQAsYCIiIgFYwERERAKwgImIiARgARMREQnAAiYiIhKABUxERCQA\nC5iIiEgAFjAREZEALGAiIiIBWMBEREQCsICJiIgEYAETEREJwAImIiISgAVMREQkgGwLWK1WIycn\nR3QMItLDnTt38HTbtvDz8xMdhUj2ZFHAJSUlWLVqFWbMmIErV67gxx9/RIcOHfDEE09g9OjRKCoq\nEh2RiHTgsnYtvrpTBFcrKxQUFIiOQyRrsijgb775BmfPnkWHDh0wYcIELF26FIcOHUJ4eDhKS0tx\n9OhR0RGJqAoRERH4zXMnzAtL8K/QCOzavl10JCJZayQ6AAD4+voiMDAQrVq1QrNmzXD79m0MHDgQ\nALB8+XJYW1tjwoQJglMSUWUcFttgelwCmkOB2bl3MMvRER+PG4eOHTuKjkYkS7LYA/7nP/+JkJAQ\nAMCsWbMwderUB8uuX7+O7t27i4pGRDo4d+4c8s6ewzCtBABoAwnjouPhvGKF4GRE8iWLPeCFCxdi\n5MiR2LJlC0aOHImnn34aAKBUKuHu7o5ffvlFp9fZunUr/r+9uwuJes/jOP4ZOz6kOZUZYQ+U5cVK\nmiZECF7Yw0YPtCh6o61kHJxazQy6WTOC6kbqtOy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- }
- ],
- "prompt_number": 2
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "publish_display_data('Assignment1',{'text/latex':r'''What is the correlation, $\\rho$? We could also have plotted with matplotlib...'''})",
- ""
- ],
- "language": "python",
- "outputs": [
- {
- "latex": [
- "What is the correlation, $\\rho$? We could also have plotted with matplotlib..."
- ],
- "output_type": "display_data"
- }
- ],
- "prompt_number": 3
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "import pylab",
- "%Rpull X Y",
- "pylab.scatter(X, Y, c='r')",
- "pylab.gca().set_xlabel('X')",
- "pylab.gca().set_ylabel('Y')"
- ],
- "language": "python",
- "outputs": [
- {
- "output_type": "pyout",
- "prompt_number": 4,
- "text": [
- ""
- ]
- }
- ],
- "prompt_number": 4
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "publish_display_data('Assignment1',{'text/html':r'''We might include some other html stuff, too. ",
- "",
- "'''})"
- ],
- "language": "python",
- "outputs": [
- {
- "html": [
- "We might include some other html stuff, too. ",
- "",
- ""
- ],
- "output_type": "display_data"
- }
- ],
- "prompt_number": 5
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "",
- "publish_display_data('Assignment1',{'text/html':'Answer
'})"
- ],
- "language": "python",
- "outputs": [
- {
- "html": [
- "Answer
"
- ],
- "output_type": "display_data"
- }
- ],
- "prompt_number": 6
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "publish_display_data('Assignment', {'text/html': ''' Milk
",
- " Butter
'''})",
- ""
- ],
- "language": "python",
- "outputs": [
- {
- "html": [
- " Milk
",
- " Butter
"
- ],
- "output_type": "display_data"
- }
- ],
- "prompt_number": 7
- },
- {
- "cell_type": "heading",
- "level": 2,
- "source": [
- "Magics",
- ""
- ]
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "run magics/homework.py"
- ],
- "language": "python",
- "outputs": [],
- "prompt_number": 8
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%%MultipleChoiceSetup 1",
- "",
- "X = rnorm(200)",
- "Y = rnorm(200)",
- "plot(X,Y)"
- ],
- "language": "python",
- "outputs": [
- {
- "html": [
- "Question 1
"
- ],
- "output_type": "display_data"
- },
- {
- "output_type": "display_data",
- "png": 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dxBHXbMqUKUhOTsahQ4fw+fNnxMTEYNmyZaxdfibk3ygBE1KNfv36ITs7Gx07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- }
- ],
- "prompt_number": 9
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%%MultipleChoiceQuestion 1",
- "",
- "question_text = 'Is the correlation:'",
- "choices = ['positive', 'negative', 'zero']"
- ],
- "language": "python",
- "outputs": [
- {
- "latex": [
- "Is the correlation:"
- ],
- "output_type": "display_data"
- },
- {
- "html": [
- "",
- " positive
",
- " ",
- "",
- " zero
",
- " ",
- "",
- " negative
",
- " "
- ],
- "output_type": "display_data"
- }
- ],
- "prompt_number": 10
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%%MultipleChoiceSetup 2",
- "",
- "X = rnorm(20)",
- "Y = rnorm(20) + X",
- "print(summary(lm(Y~X)))",
- "",
- "true_corr = cor(X,Y)"
- ],
- "language": "python",
- "outputs": [
- {
- "html": [
- "Question 2
"
- ],
- "output_type": "display_data"
- },
- {
- "output_type": "display_data",
- "text": [
- "",
- "Call:",
- "lm(formula = Y ~ X)",
- "",
- "Residuals:",
- " Min 1Q Median 3Q Max ",
- "-1.2911 -0.6555 -0.1402 0.6301 1.6721 ",
- "",
- "Coefficients:",
- " Estimate Std. Error t value Pr(>|t|) ",
- "(Intercept) 0.1856 0.2176 0.853 0.40499 ",
- "X 0.9157 0.2535 3.612 0.00199 **",
- "---",
- "Signif. codes: 0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1 ",
- "",
- "Residual standard error: 0.9539 on 18 degrees of freedom",
- "Multiple R-squared: 0.4203,\tAdjusted R-squared: 0.3881 ",
- "F-statistic: 13.05 on 1 and 18 DF, p-value: 0.001991 ",
- "",
- ""
- ]
- }
- ],
- "prompt_number": 11
- },
- {
- "cell_type": "code",
- "collapsed": true,
- "input": [
- "true_corr = %R cor(X,Y)"
- ],
- "language": "python",
- "outputs": [],
- "prompt_number": 12
- },
- {
- "cell_type": "code",
- "collapsed": false,
- "input": [
- "%%MultipleChoiceQuestion 2",
- "",
- "question_text = r'Up to 1 significant digit, what is the correlation between $X$ and $Y$?'",
- "",
- "while True:",
- " choices = ['%0.1f' % c for c in list(np.random.random(size=(3,))*2-1) + [true_corr]]",
- " if len(set(choices)) == 4 :",
- " break",
- "",
- ""
- ],
- "language": "python",
- "outputs": [
- {
- "latex": [
- "Up to 1 significant digit, what is the correlation between $X$ and $Y$?"
- ],
- "output_type": "display_data"
- },
- {
- "html": [
- "",
- " 0.6
",
- " ",
- "",
- " 0.8
",
- " ",
- "",
- " 0.4
",
- " ",
- "",
- " 0.7
",
- " "
- ],
- "output_type": "display_data"
- }
- ],
- "prompt_number": 13
- },
- {
- "cell_type": "code",
- "collapsed": true,
- "input": [
- ""
- ],
- "language": "python",
- "outputs": [],
- "prompt_number": 13
- }
- ]
- }
- ]
-}
\ No newline at end of file