Aggiunta una quasi totale analisi dei dati dinamici della molla 1. Ore di lavoro meritano il salvataggio.

molla/compatibilita/comp2.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "ba4e56bc",
+   "metadata": {},
+   "source": [
+    "## Valori dinamici\n",
+    "N = 10\n",
+    "\n",
+    "A      = 3.21951 +- 0.00470 "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aaf30c1f",
+   "metadata": {},
+   "source": [
+    "## Valori statici\n",
+    "N = 6\n",
+    "\n",
+    "A      = 3.2002 +- 0.0092\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "b349ba73",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "from scipy.stats import t as student_t"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "a68eb302",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "t = 5.774\n",
+      "p-value (two-tailed) = 0.0048 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Valori dimanici (sonar)\n",
+    "Nd = 10\n",
+    "Ad = 3.220\n",
+    "uAd = 0.005\n",
+    "\n",
+    "#Valori statici (calibro)\n",
+    "Ns = 6\n",
+    "As = 3.200\n",
+    "uAs = 0.009\n",
+    "\n",
+    "#Nomi coerenti con Cannelli\n",
+    "GdL = Nd + Ns - 2\n",
+    "\n",
+    "s2 = ( (Nd - 1) * uAd**2  +  (Ns - 1) * uAs**2 ) / GdL\n",
+    "\n",
+    "sigma2 = ( s2 / Nd )  + ( s2 / Ns )\n",
+    "\n",
+    "t = ( Ad - As ) / np.sqrt( sigma2 )\n",
+    "\n",
+    "\n",
+    "p_value = 2 * (1 - student_t.cdf(abs(t), df=GdL))\n",
+    "print(f\"t = {t:.3f}\")\n",
+    "print(f\"p-value (two-tailed) = {p_value * 100:.4f} %\")\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}