Skip to content

[Goodfit-Indeptests] Aliya Janmohamed #146

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
AliyaJAJ wants to merge 1 commit into
base: master
Choose a base branch
from
Open

[Goodfit-Indeptests] Aliya Janmohamed #146

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
130 changes: 123 additions & 7 deletions your_code/main.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -14,11 +14,48 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"# your answer here"
"# your answer here\n",
"import scipy.stats as st\n",
"import numpy as np\n",
"from scipy.stats import poisson\n",
"\n",
"mean = 2.435"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Power_divergenceResult(statistic=191.93184027673232, pvalue=5.85583627060059e-38)"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\n",
"poisson_dist = poisson(mean)\n",
"\n",
"O = np.array([35,99,104,110,62,25,10,3])\n",
"\n",
"poisson_pmfs = (np.array([poisson_dist.pmf(i) for i in range(1,8)]))\n",
"more = 1 - poisson_pmfs.sum()\n",
"\n",
"E = np.append(poisson_pmfs, more)*448\n",
"\n",
"st.chisquare(f_obs = O, f_exp=E)\n",
"\n",
"#As the p-value is less than alpha, we can reject the H0"
]
},
{
Expand Down Expand Up @@ -60,11 +97,46 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"# your answer here"
"# your answer here\n",
"from scipy.stats import binom\n",
"\n",
"n = 10\n",
"p = 0.05\n",
"\n",
"binomial_dist = binom(n,p)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Power_divergenceResult(statistic=291.0127591046915, pvalue=6.417742364737099e-64)"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"O = np.array([138,53,9])\n",
"\n",
"poisson_pmfs = (np.array([binomial_dist.pmf(i) for i in range(1,3)]))\n",
"more = 1 - poisson_pmfs.sum()\n",
"\n",
"E = np.append(poisson_pmfs, more)*200\n",
"\n",
"st.chisquare(f_obs = O, f_exp=E)\n",
"\n",
"#The p-value is less than the alpha, so we can reject the H0"
]
},
{
Expand All @@ -77,19 +149,63 @@
"![](table4.png)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"#your answer here\n",
"\n",
"##H0: there is no association between patterns of physical activity & consumption of sugary drinks\n",
"##H1: there is an association between patterns of physical activity & consumption of sugary drinks\n",
"\n",
"##significance level\n",
"alpha = 0.05\n",
"\n",
"##we need to create a variable with the observed values \n",
"fifth_grade_table = np.array([\n",
" [32, 12],\n",
" [14,22],\n",
" [6,9],\n",
" ])"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Chi2ContingencyResult(statistic=10.712198008709638, pvalue=0.004719280137040844, dof=2, expected_freq=array([[24.08421053, 19.91578947],\n",
" [19.70526316, 16.29473684],\n",
" [ 8.21052632, 6.78947368]]))"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"st.chi2_contingency(fifth_grade_table)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#your answer here"
"#alpha is greater than the p-value, so, we can not reject the H0\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -103,7 +219,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.3"
"version": "3.9.13"
}
},
"nbformat": 4,
Expand Down