How can I visualize a t-test in Python?

How can I visualize a t-test in Python?

You can use libraries like Matplotlib and Seaborn to visualize t-tests. Would you like a code example?

Yes, please provide a code example.

Sure! Here's a simple example using Seaborn:

import seaborn as sns
import matplotlib.pyplot as plt
import scipy.stats as stats

# Sample data
data1 = [1, 2, 3, 4, 5]
data2 = [2, 3, 4, 5, 6]

# Perform t-test
t_stat, p_value = stats.ttest_ind(data1, data2)

# Create a boxplot
sns.boxplot(data=[data1, data2])
plt.title('T-Test Visualization')
plt.xlabel('Groups')
plt.ylabel('Values')
plt.show()

What does the boxplot represent in this context?

The boxplot shows the distribution of values in each group, highlighting the median, quartiles, and potential outliers.