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