What is hypothesis testing in Python?

What is hypothesis testing in Python?

Hypothesis testing in Python is a statistical method used to determine if there is enough evidence to reject a null hypothesis.

Can you explain the steps involved in hypothesis testing?

Sure! The main steps are: 1) Formulate the null and alternative hypotheses, 2) Choose a significance level, 3) Collect data, 4) Calculate the test statistic, and 5) Make a decision based on the p-value.

What libraries can I use for hypothesis testing in Python?

You can use libraries like SciPy, Statsmodels, and NumPy for hypothesis testing in Python.

Can you show me an example of a t-test in Python?

Absolutely! Here's a simple example using SciPy:

from scipy import stats

# Sample data
sample1 = [2.3, 2.5, 2.1, 2.4, 2.6]
sample2 = [3.1, 3.3, 3.2, 3.4, 3.5]

# Perform t-test
t_stat, p_value = stats.ttest_ind(sample1, sample2)
print('t-statistic:', t_stat)
print('p-value:', p_value)

This will give you the t-statistic and p-value for the two samples.