What is the difference between a t-test and ANOVA in Python?

What is the difference between a t-test and ANOVA in Python?

A t-test compares the means of two groups, while ANOVA compares the means of three or more groups.

Can you show me how to perform a t-test in Python?

Sure! You can use the scipy.stats library. Here's a simple example:

from scipy import stats

# Sample data
group1 = [20, 21, 22, 23, 24]
group2 = [30, 31, 32, 33, 34]

# Perform t-test
t_stat, p_value = stats.ttest_ind(group1, group2)
print('T-statistic:', t_stat)
print('P-value:', p_value)

What about performing ANOVA in Python?

You can use the scipy.stats library for ANOVA as well. Here's an example:

from scipy import stats

# Sample data
group1 = [20, 21, 22]
group2 = [30, 31, 32]
group3 = [40, 41, 42]

# Perform ANOVA
f_stat, p_value = stats.f_oneway(group1, group2, group3)
print('F-statistic:', f_stat)
print('P-value:', p_value)