calculator of the standard error of measurement, the standard error of a series of measurements, the confidence interval of measurements and the relative error in python

main.py
import scipy.stats as stats

data = [1, 2, 3, 4, 5]
sem = stats.sem(data)
print(sem)
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main.py
import numpy as np

data = [1, 2, 3, 4, 5]
std = np.std(data, ddof=1)  # using ddof=1 calculates sample standard deviation
sem = std / np.sqrt(len(data))
print(sem)
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main.py
import scipy.stats as stats

data = [1, 2, 3, 4, 5]
alpha = 0.05  # significance level
df = len(data) - 1  # degrees of freedom
mean = np.mean(data)
sem = stats.sem(data)
ci = stats.t.interval(1-alpha, df, loc=mean, scale=sem)
print(ci)
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main.py
import math

def relative_error(true_value, measured_value):
     return abs(true_value - measured_value) / float(true_value)
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main.py
true_value = 10
measured_value = 9.5
error = relative_error(true_value, measured_value)
print(error)
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