rz is a series of classes and utility methods for applying statistics concepts through computation
Groups of functions have been grouped into centralized concepts with differentiation on two_sample_hypothesis_tests and one_sample_hypothesis_tests, and both normal_distributions and uniform_distributions. Find what you are looking for, plug in appropriate instance variables, and call an appropriate function.
#derive_mean_and_or_expected_value_from_X#find_standard_deviation_of_a_binomial_random_variable#what_is_probability_of_success#what_is_p_of_x_when_equals#what_is_p_of_x_when_lte#what_is_ranged_probability#test_what_is_p_of_x#test_what_is_ranged_probability
#standard_error_of_mean#clt_for_sums
#standard_error#find_critical_value_with_confidence_level#find_critical_value_with_df#find_margin_of_error_of_mean#simply_construct_confidence_interval#construct_confidence_interval_easy#derive_mean_and_or_expected_value_from_X#derive_population_mean#find_z_score_where_x_lte#find_confidence_interval#find_margin_of_error_from_confidence_interval#find_sample_mean_from_confidence_interval#find_sample_size_for_moe#optimal_sample_size#test_margin_of_error_of_mean
#is_independent#is_dependent#is_mutually_exclusive_with_both#is_mutually_exclusive_without_both
#how_many_combinations#likelihood_of_sum#roll
#expected_value
#complement_of#range#and_probability#mutually_exclusive
#sample_size#standard_error_of_mean#n_sdevs_from_mean#z_score#percentile_from_z_score#test_what_is_z_score
#calculate_rejection_region#calculate_critical_value#test_p_value#calculate_rejection_region#calculate_p_value_for_normal_distribution_for_mean#calculate_p_value_for_proportion_hypothesis_test#calculate_test_type#find_one_sample_test_statistic#find_two_sample_test_statistic
#z_score#standard_deviation_of_differences#mean_of_differences
#for_sample_mean#of_int_less_than#of_int_greater_than#find_mean#sample_standard_deviation#standard_deviation#nth_percentile#percentile_from_z_score#interquartile_range