population_shape
scale_contamination
df=make_pdf(float(scale_contamination), population_shape)
make_population_chart(df)
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estimator
sample_size
sample=sampling_distribution_loop(estimator, float(scale_contamination), population_shape, int(sample_size))
make_sampling_distribution_chart(sample)
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display(Markdown(f'### 👆 The standard error of the {estimator} is {np.std(sample, ddof=1).round(2)} based on the {population_shape} population'))
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results=comparison_button_callback()
make_comparison_chart(results)
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