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