From e6f82a1698a0a18c9e082d6bad59a4536cc8d8fa Mon Sep 17 00:00:00 2001
From: Robert Lanzafame <R.C.Lanzafame@tudelft.nl>
Date: Fri, 17 Jan 2025 00:54:19 +0100
Subject: [PATCH] nah
---
content/GA_2_8/Analysis_02_solution.ipynb | 9 +++++----
1 file changed, 5 insertions(+), 4 deletions(-)
diff --git a/content/GA_2_8/Analysis_02_solution.ipynb b/content/GA_2_8/Analysis_02_solution.ipynb
index b8e4ec5..09e2df2 100644
--- a/content/GA_2_8/Analysis_02_solution.ipynb
+++ b/content/GA_2_8/Analysis_02_solution.ipynb
@@ -496,7 +496,7 @@
},
{
"cell_type": "code",
- "execution_count": 54,
+ "execution_count": 70,
"metadata": {},
"outputs": [
{
@@ -531,9 +531,10 @@
"print(\" USING MONTE CARLO SIMULATION \")\n",
"print(\"=====================================\")\n",
"print(f\"Tickets purchased: {t.N()}\")\n",
- "FD_expected_winnings = np.sum(sampled_probability*sampled_winnings/(Ns+1))\n",
- "print(f\"Expected winnings: {FD_expected_winnings:9.2e} kUSD ({FD_expected_winnings*1000:5.0f} USD)\")\n",
- "FD_expected_profit = FD_expected_winnings - t.N()/1000*3\n",
+ "FD_expected_winnings = sampled_probability*sampled_winnings/(Ns+1)\n",
+ "FD_expected_winnings_sum = np.sum(FD_expected_winnings)\n",
+ "print(f\"Expected winnings: {FD_expected_winnings_sum:9.2e} kUSD ({FD_expected_winnings_sum*1000:5.0f} USD)\")\n",
+ "FD_expected_profit = FD_expected_winnings_sum - t.N()/1000*3\n",
"print(f\"Expected profit: {FD_expected_profit:9.2e} kUSD ({FD_expected_profit*1000:5.0f} USD)\")\n"
]
},
--
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