33 lines
1015 B
Python
33 lines
1015 B
Python
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from random import randint
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import random
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import numpy as np
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import pandas as pd
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from math import sqrt
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from scipy import stats
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from scipy.stats import sem
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from scipy.stats import t
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import matplotlib.pyplot as plt
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from statistics import mean, stdev
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from scipy.stats import ttest_ind, ttest_1samp, ttest_rel
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man_heights = np.random.normal(175, 10, 500)
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woman_heights = np.array([x-randint(1, 10) for x in man_heights])
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weights_before = np.random.normal(80, 10, 500)
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weights_after = np.array([x-randint(1, 5) for x in weights_before])
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man_heights = np.round(man_heights, 2)
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woman_heights = np.round(woman_heights, 2)
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weights_before = np.round(weights_before, 2)
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weights_after = np.round(weights_after, 2)
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dataset = pd.read_csv('experiment_data.csv')
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dataset['Weight before'] = weights_before
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dataset['Weight after'] = weights_after
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dataset['Male height'] = man_heights
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dataset['Female height'] = woman_heights
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dataset.to_csv("experiment_data2.csv", encoding="utf-8", index=False)
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