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164 changes: 140 additions & 24 deletions lab-intro-probability.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -38,11 +38,26 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.8844772466215431\n"
]
}
],
"source": [
"#code here"
"from scipy.stats import binom\n",
"\n",
"n = 460\n",
"p = 0.97\n",
"\n",
"prob = binom.cdf(450, n, p)\n",
"\n",
"print(prob)"
]
},
{
Expand Down Expand Up @@ -72,11 +87,26 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 2,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.49\n"
]
}
],
"source": [
"#code here"
"from scipy.stats import geom\n",
"\n",
"p = 0.3\n",
"\n",
"# P(X >= 3) = 1 - P(X <= 2)\n",
"prob = 1 - geom.cdf(2, p)\n",
"\n",
"print(prob)"
]
},
{
Expand Down Expand Up @@ -107,11 +137,26 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 3,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.01289822084039205\n"
]
}
],
"source": [
"#code here"
"from scipy.stats import poisson\n",
"\n",
"lam = 500\n",
"\n",
"# P(X > 550) = 1 - P(X ≤ 550)\n",
"prob = 1 - poisson.cdf(550, lam)\n",
"\n",
"print(prob)"
]
},
{
Expand Down Expand Up @@ -157,10 +202,27 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.3934693402873666\n"
]
}
],
"source": [
"import numpy as np\n",
"\n",
"lam = 1/10\n",
"t = 5\n",
"\n",
"prob = 1 - np.exp(-lam * t)\n",
"\n",
"print(prob)"
]
},
{
"cell_type": "markdown",
Expand All @@ -173,10 +235,27 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.22313016014842982\n"
]
}
],
"source": [
"import numpy as np\n",
"\n",
"lam = 1/10 \n",
"t = 15\n",
"\n",
"prob = np.exp(-lam * t)\n",
"\n",
"print(prob)"
]
},
{
"cell_type": "markdown",
Expand All @@ -196,11 +275,26 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.6826894921370859\n"
]
}
],
"source": [
"#code here"
"from scipy.stats import norm\n",
"\n",
"mu = 150\n",
"sigma = 10\n",
"\n",
"prob = norm.cdf(160, mu, sigma) - norm.cdf(140, mu, sigma)\n",
"\n",
"print(prob)"
]
},
{
Expand All @@ -219,17 +313,39 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 9,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.4511883639059735\n"
]
}
],
"source": [
"#code here"
"import numpy as np\n",
"\n",
"lam = 1/50 \n",
"t = 30\n",
"\n",
"prob = 1 - np.exp(-lam * t)\n",
"\n",
"print(prob)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -243,9 +359,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.9"
"version": "3.13.9"
}
},
"nbformat": 4,
"nbformat_minor": 2
"nbformat_minor": 4
}