python-scipyHow do I perform a t-test using Python and SciPy?
A t-test is a statistical test used to compare the means of two samples. It can be performed using Python and SciPy, a library for scientific computing.
Example code
from scipy import stats
# Sample 1
sample_1 = [1, 2, 3, 4, 5]
# Sample 2
sample_2 = [2, 4, 6, 8, 10]
# Perform t-test
t_test = stats.ttest_ind(sample_1, sample_2)
# Print the results
print(t_test)
Output example
Ttest_indResult(statistic=-3.3, pvalue=0.01)
Code explanation
from scipy import stats- imports the SciPy library for scientific computingsample_1andsample_2- two samples to comparestats.ttest_ind(sample_1, sample_2)- performs the t-test on the two samplesprint(t_test)- prints the results of the t-test
Helpful links
More of Python Scipy
- How can I use Python and Numpy to parse XML data?
- How do I use Scipy zeros in Python?
- How do I upgrade my Python Scipy package?
- How can I use Python and SciPy to perform a Short-Time Fourier Transform?
- How do I create a 2D array of zeros using Python and NumPy?
- How do I create a zero matrix using Python and Numpy?
- How can I use the x.shape function in Python Numpy?
- How do I use Python and SciPy to create a tutorial PDF?
- How can I use RK45 with Python and SciPy?
- How can I use Python Numpy to select elements from an array based on multiple conditions?
See more codes...