python-scipyHow do I use Python Scipy to perform a Z test?
Scipy is a library for scientific computing in Python. It provides functions for performing various statistical tests, including the Z-test.
To use Scipy to perform a Z-test, you will need to import the stats module. This module contains the ztest function which can be used to perform the Z-test.
from scipy import stats
z_score, p_value = stats.ztest(x1, x2)
The ztest function takes two arguments, x1 and x2 which are the two samples being compared. It returns two values, the z_score and the p_value. The z_score is the standardized test statistic and the p_value is the probability of obtaining the observed results, given that the null hypothesis is true.
Code explanation
from scipy import stats- imports thestatsmodule from theScipylibrary.z_score, p_value = stats.ztest(x1, x2)- calls theztestfunction from thestatsmodule, passing in two samplesx1andx2as arguments. It returns two values,z_scoreandp_value.
Helpful links
More of Python Scipy
- How do I use Scipy zeros in Python?
- How do I create a 2D array of zeros using Python and NumPy?
- How do I create a QQ plot using Python and SciPy?
- How can I use Python SciPy to fit a model?
- How can I use Python and SciPy to find the zeros of a function?
- How can I use Python and SciPy to implement a quantum Monte Carlo simulation?
- How can I use Python Scipy to zoom in on an image?
- How can I install and use SciPy on Ubuntu?
- How can I use Python and Numpy to parse XML data?
- How do I uninstall Python Scipy?
See more codes...