Estimations

estimations-single-2.ipynb

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    "_, minmax, mean, var, skewness, kurtosis = stats.describe(points)\n",
    "sd = math.sqrt(var)\n",
    "\n",
    "print(\"Tasks\")\n",
    "print(\"-----\")\n",
    "data[\"Total\"] = data.sum(axis=1).values\n",
    "print(data.T)\n",
    "print()\n",
    "\n",
    "print(\"Statistics\")\n",
    "print(\"----------\")\n",
    "print(\"minimum:\", \"%.1f\" % minmax[0], \"maximum:\", \n",
    "      \"%.1f\" % minmax[1])\n",
    "print(\"mean:\", \"%.1f\" %  mean)\n",
    "print(\"standard deviation:\", \"%.1f\" % sd)\n",
    "print(\"skewness:\", \"%.2f\" % skewness)\n",
    "print(\"kurtosis:\", \"%.2f\" % kurtosis)\n",
    "print()\n",
    "\n",
    "# prints out the probability\n",
    "def print_probability(bins, mean, sd, experiments, fraction):\n",
    "    upper = len(np.where(bins <= mean + sd)[0])\n",
    "    lower = len(np.where(bins <= mean - sd)[0])\n",
    "    prob = (np.sum(n[:upper])-np.sum(n[:lower]))*100\n",
    "    print(\"* between\", \"%.1f\" % (mean-sd/2), \"and\", \n",
    "          \"%.1f\" % (mean+sd/2), \":\", \"%.1f%%\" % prob, \n",
    "          \"(within %sσ)\" % fraction)\n",
    "\n",
    "print(\"Probabilities\")\n",
    "print(\"-------------\")\n",
    "print_probability(bins, mean, sd/2, no_of_experiments, \"0.5\")\n",
    "print_probability(bins, mean, sd, no_of_experiments, \"1\")\n",
    "print_probability(bins, mean, 2*sd, no_of_experiments, \"2\")\n",
    "print_probability(bins, mean, 3*sd, no_of_experiments, \"3\")"
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