search_first_amend analysis.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
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   "source": [
    "import pandas as pd\n",
    "import scipy.stats as stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
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   "source": [
    "time_to_cart_add = pd.read_csv(\"time_to_cart_add.csv\")\n",
    "variants = time_to_cart_add.groupby('ab_variant')\n",
    "most_value, off = (variants.get_group('most_value'), variants.get_group('off'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
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    {
     "data": {
      "text/plain": [
       "Ttest_indResult(statistic=-0.39763948541608601, pvalue=0.69472794932612669)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "stats.ttest_ind(most_value['time_to_action'], off['time_to_action'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ttest_indResult(statistic=-0.38780900089093145, pvalue=0.70188425246415731)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_to_cart_add = pd.read_csv(\"avg_pageviews.csv\")\n",
    "variants = time_to_cart_add.groupby('ab_variant')\n",
    "most_value, off = (variants.get_group('most_value'), variants.get_group('off'))\n",
    "stats.ttest_ind(most_value['avg_actions'], off['avg_actions'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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