Merge pull request #33 from cal-itp/aadt-ci

updated CI analysis, the 605 is a work in progress - currently being …

Author: noah-ca

tc_compare/aadt_confidence_interval/aadt_ci_v6_2022.ipynb

@@ -1207,7 +1207,7 @@
    "outputs": [],
    "source": [
     "# 4.4) Export to CSV \n",
-    "#cmp_df.to_csv(\"step_4_comparison_dataframe.csv\", index=False)"
+    "cmp_df.to_csv(\"step_4_comparison_dataframe_v2.csv\", index=False)"
    ]
   },
   {
@@ -1335,7 +1335,7 @@
    "outputs": [],
    "source": [
     "# 3.4) Export to CSV \n",
-    "#cmp_df.to_csv(\"step_5_collapse_to_one_row.csv\", index=False)"
+    "cmp_df.to_csv(\"step_5_collapse_to_one_row_v2.csv\", index=False)"
    ]
   },
   {
@@ -1602,7 +1602,7 @@
     "* We’re 95% confident the true average difference between the Non-Traditional AADT and the Traditional AADT lies between about 10% lower and about 3% higher.\n",
     "* Because this range includes zero, we can’t claim a consistent corridor-level bias—on average, the Non-Traditional AADT may not be systematically higher or lower than the Traditional AADT data.\n",
     "\n",
-    "### T-Test Statistic (-1.101)\n",
+    "### T-Test Statistic (-1.11)\n",
     "* Our observed average difference (Non-Traditional AADT vs. Traditional AADT) sits about 1.11 “standard errors” below zero. The minus sign just says Non-Traditional AADT skews lower on average.\n",
     "\n",
     "### Summary\n",