You are given test results for two drugs: A (results for the group of people getting drug A) and B (results for the other group of people getting drug B). 1) You need to assess whether there is a statistically significant difference in the effect in these patients. Use the null hypothesis, the inverse hypothesis, and Student's t-test for calculations. 2) construct a boxplot and histogram to visually confirm the result

import numpy as np
import scipy.stats as st
import seaborn as sns
import matplotlib.pyplot as plt

def difference_of_means(data_1, data_2):
    """Difference in means of two arrays."""

    # The difference of means of data_1, data_2: diff
    diff = np.mean(data_1) - np.mean(data_2)

    return diff

def permutation_sample(data1, data2):
    """Generate a permutation sample from two data sets."""

    # Concatenate the data sets: data
    data = np.concatenate((data1, data2))

    # Permute the concatenated array: permuted_data
    permuted_data = np.random.permutation(data)

    # Split the permuted array into two: perm_sample_1, perm_sample_2
    perm_sample_1 = permuted_data[:len(data1)]
    perm_sample_2 = permuted_data[