{
"cells": [
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"cell_type": "markdown",
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"source": [
"# Confidence interval, sampling, hypothesis testing\n",
"### Dr. Tirthajyoti Sarkar, Fremont, CA 94536\n",
"\n",
"In this Notebook, we will examine a multitude of concepts,\n",
"\n",
"- confidence interval\n",
"- sampling methods\n",
"- Bootstrapping\n",
"- hypothesis testing using James Bond example\n",
"\n",
"---"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "zvw2bqmQumZD"
},
"outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import scipy.stats as stats\n",
"from scipy import mean"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "2TTVgVHpumZG"
},
"source": [
"## Confidence interval\n",
"
\n",
"\n",
"\n",
"\n",
"**Source**: https://psu.instructure.com/courses/1844486/pages/chapter-3-confidence-intervals\n",
"\n",
"
\n",
"Confidence intervals are a calculated range or boundary around a parameter or a statistic that is supported mathematically with a certain level of confidence. \n",
"\n",
"This is *__different__* than having a 95% probability that the true population proportion is within our confidence interval. Essentially, if we were to repeat this process, 95% of our calculated confidence intervals would contain the true proportion.\n",
"\n",
"The equation to create a confidence interval can also be shown as:\n",
"\n",
"$$Population\\ Proportion\\ or\\ Mean\\ \\pm (t-multiplier *\\ Standard\\ Error)$$\n",
"\n",
"The _Standard Error_ is calculated differenly for population proportion and mean:\n",
"\n",
"$$Standard\\ Error \\ for\\ Population\\ Proportion = \\sqrt{\\frac{Population\\ Proportion * (1 - Population\\ Proportion)}{Number\\ Of\\ Observations}}$$\n",
"\n",
"$$Standard\\ Error \\ for\\ Mean = \\frac{Standard\\ Deviation}{\\sqrt{Number\\ Of\\ Observations}}$$\n",
"\n",
"Or C.I. (**C**onfidence **I**nterval),\n",
"\n",
"$$ C.I. = \\mu \\pm t*\\frac{\\sigma}{\\sqrt{n}} $$\n",
"\n",
"where,\n",
"\n",
"$\\mu = \\text{sample mean}$, $\\sigma = \\text{sample standard dev}$, $n = \\text{number of samples}$"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "40xYmAb_umZG"
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"outputs": [],
"source": [
"num_weeks = 52\n",
"production = np.random.normal(loc=20,scale=5,size=num_weeks)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 288
},
"colab_type": "code",
"executionInfo": {
"elapsed": 1635,
"status": "ok",
"timestamp": 1567211402670,
"user": {
"displayName": "Tirthajyoti Sarkar",
"photoUrl": "https://lh3.googleusercontent.com/a-/AAuE7mD6d7dlMqdpzL4sermIF1ujmpSRxY2WnE4tuB-UsQ=s64",
"userId": "01914075970409030121"
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"user_tz": 420
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"id": "BGgac_VsumZI",
"outputId": "63758a0d-a59f-403b-d367-2e54187ed75c"
},
"outputs": [
{
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KOFV9TFVFVY9UKwUyTVVnqepkVR3vW/ap9Pavqup56devqOpR6Wmqqn4nybFH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\nI3XdXggsrS6IpGuArwF/GRGLql6aAFwWEQ/l8x/V68ObWbm5Bc7Myup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