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Add proportionsZTest to docs

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docs/en/sql-reference/functions/other-functions.md
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@ -903,6 +903,52 @@ SELECT parseTimeDelta('1yr2mo')
└──────────────────────────┘
```
## proportionsZTest
Returns test statistics for the two proportion Z-test - a statistical test for comparing the proportions from two populations `x` and `y`.
**Syntax**
```sql
proportionsZTest(successes_x, successes_y, trials_x, trials_y, conf_level, pool_type)
```
**Arguments**
- `successes_x`: Number of successes in population `x`. [UInt64](../data-types/int-uint.md).
- `successes_y`: Number of successes in population `y`. [UInt64](../data-types/int-uint.md).
- `trials_x`: Number of trials in population `x`. [UInt64](../data-types/int-uint.md).
- `trials_y`: NUmber of trials in population `y`. [UInt64](../data-types/int-uint.md).
- `conf_level`: Confidence level for the test. [Float64](../data-types/float.md).
- `pool_type`: Selection of pooling (way in which the standard error is estimated). can be either `unpooled` or `pooled`. [String](../data-types/string.md).
:::note
For argument `pool_type`: In the pooled version, the two proportions are averaged, and only one proportion is used to estimate the standard error. In the unpooled version, the two proportions are used separately.
:::
**Returned value**
- `z_stat`: Z statistic. [Float64](../data-types/float.md).
- `p_val`: P value. [Float64](../data-types/float.md).
- `ci_low`: The lower confidence interval. [Float64](../data-types/float.md).
- `ci_high`: The upper confidence interval. [Float64](../data-types/float.md).
**Example**
Query:
```sql
SELECT proportionsZTest(10, 11, 100, 101, 0.95, 'unpooled');
```
Result:
```response
┌─proportionsZTest(10, 11, 100, 101, 0.95, 'unpooled')───────────────────────────────┐
│ (-0.20656724435948853,0.8363478437079654,-0.09345975390115283,0.07563797172293502) │
└────────────────────────────────────────────────────────────────────────────────────┘
```
## least(a, b)
Returns the smaller value of a and b.