Assignment 6

datasains61.ipynb

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    "Exercise 1\n",
    "1. Explain the difference between median and middle value?\n",
    "Answer: Median is middle number in a set of data when the data arranged in ascending, Middle Value is the middle number when the data is unsorted\n",
    "2. Are mean and mode values always the same for unsorted and sorted dataset? Why?\n",
    "Answer: Mean and mode values always same even the data unsorted or sorted because mean sum all of the data and divided it with the length of data, and Mode values depends on the amount of data that appears frequently\n",
    "3. If range is caculate with last datapoint – first datapoint, should the dataset is sorted first or not? Why?\n",
    "Answer: The dataset must sorted first if we want to calculate the range of the dataset, because the unsorted data will make the the range of the dataset incorrect"
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   "cell_type": "code",
   "execution_count": 38,
   "id": "23c9a9b6",
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   "source": [
    "x =[\n",
    "    10, 20, 40, 40, 40, 60, 70,\n",
    "    20, 40, 40, 40, 40, 40, 60,\n",
    "    10, 20, 30, 40, 50, 60, 70,\n",
    "    70, 20, 30, 40, 50, 70, 20\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "90b784f6",
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   "outputs": [
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     "name": "stdout",
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     "text": [
      "x=  [10, 20, 40, 40, 40, 60, 70, 20, 40, 40, 40, 40, 40, 60, 10, 20, 30, 40, 50, 60, 70, 70, 20, 30, 40, 50, 70, 20]\n",
      "N=  28\n",
      "[10, 10, 20, 20, 20, 20, 20, 30, 30, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 50, 50, 60, 60, 60, 70, 70, 70, 70]\n"
     ]
    }
   ],
   "source": [
    "print('x= ', x)\n",
    "print('N= ', len(x))\n",
    "y = sorted(x)\n",
    "print(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "1ce04de7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "range=  60\n"
     ]
    }
   ],
   "source": [
    "rng = y[-1] - y[0]\n",
    "print('range= ', rng)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "30a137a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "range=  10\n"
     ]
    }
   ],
   "source": [
    "rng = x[-1] - x[0]\n",
    "print('range= ', rng)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "8dfe4c46",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mid value=  35.0\n"
     ]
    }
   ],
   "source": [
    "mid = (x[13] + x[14])/2\n",
    "print('mid value= ', mid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "1e25f513",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "40.0\n"
     ]
    }
   ],
   "source": [
    "import statistics as stat\n",
    "print(stat.median(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "2642849f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "median =  40.0\n"
     ]
    }
   ],
   "source": [
    "med = (y[13] + y[14])/2\n",
    "print('median = ', med)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "3e8e4ed6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "40.0\n"
     ]
    }
   ],
   "source": [
    "print(stat.median(y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "d0d93b7b",
   "metadata": {},
   "outputs": [
    {
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     "output_type": "stream",
     "text": [
      "mean=  40.714285714285715\n"
     ]
    }
   ],
   "source": [
    "sumx= sum(x)\n",
    "N = len(x)\n",
    "mean = sumx/N\n",
    "print('mean= ', mean)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 47,
   "id": "1139d51c",
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   "outputs": [
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     "output_type": "stream",
     "text": [
      "40.714285714285715\n"
     ]
    }
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   "source": [
    "print(stat.mean(x))"
   ]
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   "cell_type": "code",
   "execution_count": 48,
   "id": "635d1728",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "40.714285714285715\n"
     ]
    }
   ],
   "source": [
    "print(stat.mean(y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "25b7c488",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mode=  40\n"
     ]
    }
   ],
   "source": [
    "print('mode= ', stat.mode(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "d6b56cda",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mode=  40\n"
     ]
    }
   ],
   "source": [
    "print('mode= ', stat.mode(y))"
   ]
  }
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datasains62.ipynb