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Silvia l Inferential Statistics #14

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Silvia l Inferential Statistics #14

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silviagonzalez98 Oct 4, 2021
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55 changes: 35 additions & 20 deletions Solutions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -33,12 +33,14 @@
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "39c6f717",
"cell_type": "markdown",
"id": "0ac74075",
"metadata": {},
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"source": []
"source": [
"H0: μ = 120\n",
"\n",
"H1: μ != 120"
]
},
{
"cell_type": "markdown",
Expand All @@ -49,12 +51,16 @@
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b09ce149",
"cell_type": "markdown",
"id": "1b493c62",
"metadata": {},
"outputs": [],
"source": []
"source": [
"Level of significance = 0.05\n",
"\n",
"Calculate the test statistic based on the given information:\n",
"- If the test statistic falls in the critical region, then we reject the Null Hypothesis\n",
"- If the test statistic falls in the region between the critical region, we accept the Null Hypothesis ie our assumption about the population to be true."
]
},
{
"cell_type": "markdown",
Expand All @@ -66,18 +72,27 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"id": "97f73e20",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"id": "4a7564e5",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Statistic is: 4.761904761904759\n"
]
}
],
"source": [
"## 2. If you finished the previous question, please go through the code for principal_component_analysis_example provided in the files_for_lab folder ."
"from statistics import math\n",
"\n",
"sample_mean = 130.1\n",
"pop_mean = 120\n",
"pop_std = 21.21\n",
"n = 100\n",
"statistic = (sample_mean - pop_mean)/(pop_std/math.sqrt(n))\n",
"print(\"Statistic is: \", statistic)"
]
}
],
Expand All @@ -97,7 +112,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
"version": "3.8.8"
}
},
"nbformat": 4,
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