mann_whitney_u_test

mann_whitney_u_test performs the Mann-Whitney rank test on samples derived from two populations. The Mann-Whitney U test is a non-parametric test that can be used to determine if two populations were selected from the same distribution.

Syntax

Haskell

MANN_WHITNEY_U_TEST (sample_data, sample_treatment[, alternative[, continuity_correction]])

Parameters

sample_data: the value of sample data. It must be of numeric data types.
sample_treatment: the index of sample data. where each element indicates the treatment group that the corresponding sample belongs to. The values should be of type boolean, with false representing the first group and true representing the second group.
alternative (optional): A const string specifying the alternative hypothesis. It can be one of the following:
- 'two-sided': The default value. Tests whether the means of the two populations are different.
- 'less': Tests whether the mean of the first population is less than the mean of the second population.
- 'greater': Tests whether the mean of the first population is greater than the mean of the second population.
continuity_correction (optional): A const boolean value indicating whether to apply a continuity correction. The continuity correction adjusts the U statistic by 0.5 towards the mean of the U distribution, which can improve the accuracy of the test for small sample sizes. The default value is true.

Return value

The function returns a json array containing the following two elements:

The Mann-Whitney U statistic and the p-value associated with the test.

Usage notes

This function ignores NULLs.

Examples

Suppose there is a table named testing_data with the following data.

sql

create table testing_data (
    id int, 
    score int, 
    treatment boolean
)
properties(
    "replication_num" = "1"
);

insert into testing_data values 
    (1, 80, false), 
    (2, 100, false), 
    (3, NULL, false), 
    (4, 60, true), 
    (5, 70, true), 
    (6, 85, true);

Plain

select * from testing_data;
+------+-------+-----------+
| id   | score | treatment |
+------+-------+-----------+
|    1 |    80 |         0 |
|    2 |   100 |         0 |
|    3 |  NULL |         0 |
|    4 |    60 |         1 |
|    5 |    70 |         1 |
|    6 |    85 |         1 |
+------+-------+-----------+

Query:

SQL

SELECT MANN_WHITNEY_U_TEST(score, treatment) FROM testing_data;

Result:

Plain

+---------------------------------------+
| mann_whitney_u_test(score, treatment) |
+---------------------------------------+
| [5, 0.38647623077123283]              |
+---------------------------------------+

Query:

SQL

SELECT MANN_WHITNEY_U_TEST(score, treatment, 'less') FROM testing_data;

Result:

Plain

+-----------------------------------------------+
| mann_whitney_u_test(score, treatment, 'less') |
+-----------------------------------------------+
| [5, 0.9255426634106172]                       |
+-----------------------------------------------+

Query:

SQL

SELECT MANN_WHITNEY_U_TEST(score, treatment, 'two-sided', 0) FROM testing_data;

Result:

Plain

+-------------------------------------------------------+
| mann_whitney_u_test(score, treatment, 'two-sided', 0) |
+-------------------------------------------------------+
| [5, 0.2482130789899235]                               |
+-------------------------------------------------------+