Mean_median_mode.ipynb

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   "source": [
    "# Finding mean , median and mode with python\n"
   ]
  },
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      "5.0\n"
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   "source": [
    "# Finding the Mean\n",
    "\n",
    "numb = [2,3,5,7,8]\n",
    "\n",
    "mean = sum(numb)/ len(numb)\n",
    "\n",
    "print(mean)"
   ]
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      "5\n"
     ]
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   "source": [
    "# Finding the median\n",
    "\n",
    "numb = [2,4,5,8,9]\n",
    "no = len(numb)\n",
    "numb.sort()\n",
    "\n",
    "if no % 2 == 0:\n",
    "    median1 = numb[no//2 + 0.5] # '//' (division) to make the float in use\n",
    "    median2 = numb[no//2 - 0.5]\n",
    "    median = (median1 + median2)/2\n",
    "else:\n",
    "    median = numb[no//2]\n",
    "\n",
    "print(str(median))    "
   ]
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      "[2]\n"
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   "source": [
    "# ** Didn't get the code \n",
    "\n",
    "# Finding Mode\n",
    "def mode(ls):\n",
    "    # Dictionary to keep count of each value\n",
    "    counts = {}\n",
    "    # Iterate through the List\n",
    "    for item in ls:\n",
    "        if item in counts:\n",
    "            counts[item] += 1\n",
    "        else:\n",
    "            counts[item] = 1\n",
    "        # Get the keys with the max counts    \n",
    "        return [key for key in counts.keys() if counts[key] == max(counts.values())]\n",
    "   # using the function on a list of values\n",
    "print(mode([2,2,4,5,6,2,3,5]))"
   ]
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   "execution_count": 7,
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   "outputs": [
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     "name": "stdout",
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     "text": [
      "6.857142857142857\n",
      "6\n",
      "5\n"
     ]
    }
   ],
   "source": [
    "# Finding mean , median and mode\n",
    "import statistics\n",
    "\n",
    "print(statistics.mean([5,3,6,8,9,12,5]))\n",
    "print(statistics.median([5,3,6,8,9,12,5]))\n",
    "print(statistics.mode([5,3,6,8,9,12,5]))"
   ]
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