generateData.py

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+from random import randint
+import random
+import numpy as np
+import pandas as pd
+from math import sqrt
+from scipy import stats
+from scipy.stats import sem
+from scipy.stats import t
+import matplotlib.pyplot as plt
+from statistics import mean, stdev
+from scipy.stats import ttest_ind, ttest_1samp, ttest_rel
+
+man_heights = np.random.normal(175, 10, 500)
+woman_heights = np.array([x-randint(1, 10) for x in man_heights])
+
+weights_before = np.random.normal(80, 10, 500)
+weights_after = np.array([x-randint(1, 5) for x in weights_before])
+
+man_heights = np.round(man_heights, 2)
+woman_heights = np.round(woman_heights, 2)
+weights_before = np.round(weights_before, 2)
+weights_after = np.round(weights_after, 2)
+
+dataset = pd.read_csv('experiment_data.csv')
+
+dataset['Weight before'] = weights_before
+dataset['Weight after'] = weights_after
+
+dataset['Male height'] = man_heights
+dataset['Female height'] = woman_heights
+
+dataset.to_csv("experiment_data2.csv", encoding="utf-8", index=False)