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264af2e9a1e4e844f861df089a5604e3
mooc-rr
Commits
c794d4fd
Commit
c794d4fd
authored
Nov 11, 2024
by
264af2e9a1e4e844f861df089a5604e3
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exerciceTabac.ipynb
module3/exo3/exerciceTabac.ipynb
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module3/exo3/exerciceTabac.ipynb
View file @
c794d4fd
...
@@ -1968,7 +1968,7 @@
...
@@ -1968,7 +1968,7 @@
},
},
{
{
"cell_type": "code",
"cell_type": "code",
"execution_count":
2
0,
"execution_count":
3
0,
"metadata": {},
"metadata": {},
"outputs": [
"outputs": [
{
{
...
@@ -1976,7 +1976,7 @@
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@@ -1976,7 +1976,7 @@
"output_type": "stream",
"output_type": "stream",
"text": [
"text": [
"Le taux de mortalité des fumeuses de la classe d'âge 64-150 est de : 85.71428571428571\n",
"Le taux de mortalité des fumeuses de la classe d'âge 64-150 est de : 85.71428571428571\n",
"Le taux de mortalité des fumeuses de la classe d'âge 64-150 est de : 85.12820512820512\n"
"Le taux de mortalité des
non-
fumeuses de la classe d'âge 64-150 est de : 85.12820512820512\n"
]
]
}
}
],
],
...
@@ -1985,7 +1985,7 @@
...
@@ -1985,7 +1985,7 @@
"print(\"Le taux de mortalité des fumeuses de la classe d'âge 64-150 est de :\", tauxMort64_150F)\n",
"print(\"Le taux de mortalité des fumeuses de la classe d'âge 64-150 est de :\", tauxMort64_150F)\n",
"\n",
"\n",
"tauxMort64_150NF = calculTMparClAge(64, 150, nonFumeuses)\n",
"tauxMort64_150NF = calculTMparClAge(64, 150, nonFumeuses)\n",
"print(\"Le taux de mortalité des fumeuses de la classe d'âge 64-150 est de :\", tauxMort64_150NF)"
"print(\"Le taux de mortalité des
non
fumeuses de la classe d'âge 64-150 est de :\", tauxMort64_150NF)"
]
]
},
},
{
{
...
@@ -2650,8 +2650,8 @@
...
@@ -2650,8 +2650,8 @@
"Dep. Variable: Death No. Observations: 582\n",
"Dep. Variable: Death No. Observations: 582\n",
"Model: Logit Df Residuals: 580\n",
"Model: Logit Df Residuals: 580\n",
"Method: MLE Df Model: 1\n",
"Method: MLE Df Model: 1\n",
"Date:
Thu, 31 Oct
2024 Pseudo R-squ.: 0.2492\n",
"Date:
Mon, 11 Nov
2024 Pseudo R-squ.: 0.2492\n",
"Time:
23:20:1
0 Log-Likelihood: -240.21\n",
"Time:
17:47:3
0 Log-Likelihood: -240.21\n",
"converged: True LL-Null: -319.94\n",
"converged: True LL-Null: -319.94\n",
" LLR p-value: 1.477e-36\n",
" LLR p-value: 1.477e-36\n",
"==============================================================================\n",
"==============================================================================\n",
...
@@ -2714,8 +2714,8 @@
...
@@ -2714,8 +2714,8 @@
"Dep. Variable: Death No. Observations: 732\n",
"Dep. Variable: Death No. Observations: 732\n",
"Model: Logit Df Residuals: 730\n",
"Model: Logit Df Residuals: 730\n",
"Method: MLE Df Model: 1\n",
"Method: MLE Df Model: 1\n",
"Date:
Thu, 31 Oct
2024 Pseudo R-squ.: 0.4304\n",
"Date:
Mon, 11 Nov
2024 Pseudo R-squ.: 0.4304\n",
"Time:
23:20:10
Log-Likelihood: -259.54\n",
"Time:
17:47:31
Log-Likelihood: -259.54\n",
"converged: True LL-Null: -455.62\n",
"converged: True LL-Null: -455.62\n",
" LLR p-value: 2.808e-87\n",
" LLR p-value: 2.808e-87\n",
"==============================================================================\n",
"==============================================================================\n",
...
...
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