Assignment-1-Q23 (Basic Statistics Level-1).ipynb

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   "source": [
    "# Assignment-1-Q23 (Basic Statistics Level-1)"
   ]
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   "source": [
    "Q 23) Calculate the t scores of 95% confidence interval, 96% confidence interval, 99% confidence interval for sample size of 25"
   ]
  },
  {
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   "execution_count": 1,
   "metadata": {},
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   "source": [
    "from scipy import stats\n",
    "from scipy.stats import norm"
   ]
  },
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   "execution_count": 5,
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   "outputs": [
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       "2.0638985616280205"
      ]
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   "source": [
    "# t scores of 95% confidence interval for sample size of 25\n",
    "stats.t.ppf(0.975,24)  # df = n-1 = 24"
   ]
  },
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   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.1715446760080677"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# t scores of 96% confidence interval for sample size of 25\n",
    "stats.t.ppf(0.98,24)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.796939504772804"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# t scores of 99% confidence interval for sample size of 25\n",
    "stats.t.ppf(0.995,24)"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
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   "cell_type": "code",
   "execution_count": null,
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