standard error calculation in python

To calculate the standard error in Python, you can use the stdev() method from the statistics library and divide it by the square root of the sample size. Here's an example:

main.py
import statistics

# Sample data
data = [2, 4, 6, 8, 10]

# Calculate standard deviation
stdev = statistics.stdev(data)

# Calculate standard error
n = len(data)
sem = stdev / (n ** 0.5)

# Print results
print("Standard deviation:", stdev)
print("Standard error:", sem)
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Output:

main.py
Standard deviation: 3.1622776601683795
Standard error: 1.4142135623730951
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Note that n ** 0.5 is equivalent to taking the square root of the sample size n. The standard error tells us how much the sample mean is likely to vary from the true population mean.

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