Replacement `Parameters` to `Arguments` for aggregate functions

docs/en/sql-reference/aggregate-functions/combinators.md

@@ -72,7 +72,7 @@ If an aggregate function doesn’t have input values, with this combinator it re
 <aggFunction>OrDefault(x)
 ```
 
-**Parameters**
+**Arguments**
 
 -   `x` — Aggregate function parameters.
 
@@ -132,7 +132,7 @@ This combinator converts a result of an aggregate function to the [Nullable](../
 <aggFunction>OrNull(x)
 ```
 
-**Parameters**
+**Arguments**
 
 -   `x` — Aggregate function parameters.
 
@@ -189,7 +189,7 @@ Lets you divide data into groups, and then separately aggregates the data in tho
 <aggFunction>Resample(start, end, step)(<aggFunction_params>, resampling_key)
 ```
 
-**Parameters**
+**Arguments**
 
 -   `start` — Starting value of the whole required interval for `resampling_key` values.
 -   `stop` — Ending value of the whole required interval for `resampling_key` values. The whole interval doesn’t include the `stop` value `[start, stop)`.

docs/en/sql-reference/aggregate-functions/parametric-functions.md

@@ -17,10 +17,13 @@ histogram(number_of_bins)(values)
 
 The functions uses [A Streaming Parallel Decision Tree Algorithm](http://jmlr.org/papers/volume11/ben-haim10a/ben-haim10a.pdf). The borders of histogram bins are adjusted as new data enters a function. In common case, the widths of bins are not equal.
 
+**Arguments**
+
+`values` — [Expression](../../sql-reference/syntax.md#syntax-expressions) resulting in input values.
+
 **Parameters**
 
 `number_of_bins` — Upper limit for the number of bins in the histogram. The function automatically calculates the number of bins. It tries to reach the specified number of bins, but if it fails, it uses fewer bins.
-`values` — [Expression](../../sql-reference/syntax.md#syntax-expressions) resulting in input values.
 
 **Returned values**
 
@@ -89,14 +92,16 @@ sequenceMatch(pattern)(timestamp, cond1, cond2, ...)
 !!! warning "Warning"
     Events that occur at the same second may lay in the sequence in an undefined order affecting the result.
 
-**Parameters**
-
--   `pattern` — Pattern string. See [Pattern syntax](#sequence-function-pattern-syntax).
+**Arguments**
 
 -   `timestamp` — Column considered to contain time data. Typical data types are `Date` and `DateTime`. You can also use any of the supported [UInt](../../sql-reference/data-types/int-uint.md) data types.
 
 -   `cond1`, `cond2` — Conditions that describe the chain of events. Data type: `UInt8`. You can pass up to 32 condition arguments. The function takes only the events described in these conditions into account. If the sequence contains data that isn’t described in a condition, the function skips them.
 
+**Parameters**
+
+-   `pattern` — Pattern string. See [Pattern syntax](#sequence-function-pattern-syntax).
+
 **Returned values**
 
 -   1, if the pattern is matched.
@@ -176,14 +181,16 @@ Counts the number of event chains that matched the pattern. The function searche
 sequenceCount(pattern)(timestamp, cond1, cond2, ...)
 ```
 
-**Parameters**
-
--   `pattern` — Pattern string. See [Pattern syntax](#sequence-function-pattern-syntax).
+**Arguments**
 
 -   `timestamp` — Column considered to contain time data. Typical data types are `Date` and `DateTime`. You can also use any of the supported [UInt](../../sql-reference/data-types/int-uint.md) data types.
 
 -   `cond1`, `cond2` — Conditions that describe the chain of events. Data type: `UInt8`. You can pass up to 32 condition arguments. The function takes only the events described in these conditions into account. If the sequence contains data that isn’t described in a condition, the function skips them.
 
+**Parameters**
+
+-   `pattern` — Pattern string. See [Pattern syntax](#sequence-function-pattern-syntax).
+
 **Returned values**
 
 -   Number of non-overlapping event chains that are matched.
@@ -239,13 +246,16 @@ The function works according to the algorithm:
 windowFunnel(window, [mode])(timestamp, cond1, cond2, ..., condN)
 ```
 
+**Arguments**
+
+-   `timestamp` — Name of the column containing the timestamp. Data types supported: [Date](../../sql-reference/data-types/date.md), [DateTime](../../sql-reference/data-types/datetime.md#data_type-datetime) and other unsigned integer types (note that even though timestamp supports the `UInt64` type, it’s value can’t exceed the Int64 maximum, which is 2^63 - 1).
+-   `cond` — Conditions or data describing the chain of events. [UInt8](../../sql-reference/data-types/int-uint.md).
+
 **Parameters**
 
 -   `window` — Length of the sliding window. The unit of `window` depends on the timestamp itself and varies. Determined using the expression `timestamp of cond2 <= timestamp of cond1 + window`.
--   `mode` - It is an optional argument.
+-   `mode` - It is an optional parameter.
     -   `'strict'` - When the `'strict'` is set, the windowFunnel() applies conditions only for the unique values.
--   `timestamp` — Name of the column containing the timestamp. Data types supported: [Date](../../sql-reference/data-types/date.md), [DateTime](../../sql-reference/data-types/datetime.md#data_type-datetime) and other unsigned integer types (note that even though timestamp supports the `UInt64` type, it’s value can’t exceed the Int64 maximum, which is 2^63 - 1).
--   `cond` — Conditions or data describing the chain of events. [UInt8](../../sql-reference/data-types/int-uint.md).
 
 **Returned value**
 
@@ -324,7 +334,7 @@ The conditions, except the first, apply in pairs: the result of the second will
 retention(cond1, cond2, ..., cond32);
 ```
 
-**Parameters**
+**Arguments**
 
 -   `cond` — an expression that returns a `UInt8` result (1 or 0).
 

docs/en/sql-reference/aggregate-functions/reference/argmax.md

@@ -20,7 +20,7 @@ or
 argMax(tuple(arg, val))
 ```
 
-**Parameters**
+**Arguments**
 
 -   `arg` — Argument.
 -   `val` — Value.

docs/en/sql-reference/aggregate-functions/reference/argmin.md

@@ -20,7 +20,7 @@ or
 argMin(tuple(arg, val))
 ```
 
-**Parameters**
+**Arguments**
 
 -   `arg` — Argument.
 -   `val` — Value.

docs/en/sql-reference/aggregate-functions/reference/avg.md

@@ -12,7 +12,7 @@ Calculates the arithmetic mean.
 avgWeighted(x)
 ```
 
-**Parameter**
+**Arguments**
 
 -   `x` — Values.
 

docs/en/sql-reference/aggregate-functions/reference/avgweighted.md

@@ -12,7 +12,7 @@ Calculates the [weighted arithmetic mean](https://en.wikipedia.org/wiki/Weighted
 avgWeighted(x, weight)
 ```
 
-**Parameters**
+**Arguments**
 
 -   `x` — Values.
 -   `weight` — Weights of the values.

docs/en/sql-reference/aggregate-functions/reference/count.md

@@ -10,7 +10,7 @@ ClickHouse supports the following syntaxes for `count`:
 - `count(expr)` or `COUNT(DISTINCT expr)`.
 - `count()` or `COUNT(*)`. The `count()` syntax is ClickHouse-specific.
 
-**Parameters**
+**Arguments**
 
 The function can take:
 

docs/en/sql-reference/aggregate-functions/reference/grouparrayinsertat.md

@@ -17,7 +17,7 @@ If in one query several values are inserted into the same position, the function
 -   If a query is executed in a single thread, the first one of the inserted values is used.
 -   If a query is executed in multiple threads, the resulting value is an undetermined one of the inserted values.
 
-**Parameters**
+**Arguments**
 
 -   `x` — Value to be inserted. [Expression](../../../sql-reference/syntax.md#syntax-expressions) resulting in one of the [supported data types](../../../sql-reference/data-types/index.md).
 -   `pos` — Position at which the specified element `x` is to be inserted. Index numbering in the array starts from zero. [UInt32](../../../sql-reference/data-types/int-uint.md#uint-ranges).

docs/en/sql-reference/aggregate-functions/reference/grouparraymovingavg.md

@@ -13,7 +13,7 @@ groupArrayMovingAvg(window_size)(numbers_for_summing)
 
 The function can take the window size as a parameter. If left unspecified, the function takes the window size equal to the number of rows in the column.
 
-**Parameters**
+**Arguments**
 
 -   `numbers_for_summing` — [Expression](../../../sql-reference/syntax.md#syntax-expressions) resulting in a numeric data type value.
 -   `window_size` — Size of the calculation window.

docs/en/sql-reference/aggregate-functions/reference/grouparraymovingsum.md

@@ -13,7 +13,7 @@ groupArrayMovingSum(window_size)(numbers_for_summing)
 
 The function can take the window size as a parameter. If left unspecified, the function takes the window size equal to the number of rows in the column.
 
-**Parameters**
+**Arguments**
 
 -   `numbers_for_summing` — [Expression](../../../sql-reference/syntax.md#syntax-expressions) resulting in a numeric data type value.
 -   `window_size` — Size of the calculation window.

docs/en/sql-reference/aggregate-functions/reference/grouparraysample.md

@@ -12,7 +12,7 @@ Creates an array of sample argument values. The size of the resulting array is l
 groupArraySample(max_size[, seed])(x)
 ```
 
-**Parameters**
+**Arguments**
 
 -   `max_size` — Maximum size of the resulting array. [UInt64](../../data-types/int-uint.md).
 -   `seed` — Seed for the random number generator. Optional. [UInt64](../../data-types/int-uint.md). Default value: `123456`.

docs/en/sql-reference/aggregate-functions/reference/groupbitand.md

@@ -10,7 +10,7 @@ Applies bitwise `AND` for series of numbers.
 groupBitAnd(expr)
 ```
 
-**Parameters**
+**Arguments**
 
 `expr` – An expression that results in `UInt*` type.
 

docs/en/sql-reference/aggregate-functions/reference/groupbitmap.md

@@ -10,7 +10,7 @@ Bitmap or Aggregate calculations from a unsigned integer column, return cardinal
 groupBitmap(expr)
 ```
 
-**Parameters**
+**Arguments**
 
 `expr` – An expression that results in `UInt*` type.
 

docs/en/sql-reference/aggregate-functions/reference/groupbitmapand.md

@@ -10,7 +10,7 @@ Calculations the AND of a bitmap column, return cardinality of type UInt64, if a
 groupBitmapAnd(expr)
 ```
 
-**Parameters**
+**Arguments**
 
 `expr` – An expression that results in `AggregateFunction(groupBitmap, UInt*)` type.
 

docs/en/sql-reference/aggregate-functions/reference/groupbitmapor.md

@@ -10,7 +10,7 @@ Calculations the OR of a bitmap column, return cardinality of type UInt64, if ad
 groupBitmapOr(expr)
 ```
 
-**Parameters**
+**Arguments**
 
 `expr` – An expression that results in `AggregateFunction(groupBitmap, UInt*)` type.
 

docs/en/sql-reference/aggregate-functions/reference/groupbitmapxor.md

@@ -10,7 +10,7 @@ Calculations the XOR of a bitmap column, return cardinality of type UInt64, if a
 groupBitmapOr(expr)
 ```
 
-**Parameters**
+**Arguments**
 
 `expr` – An expression that results in `AggregateFunction(groupBitmap, UInt*)` type.
 

docs/en/sql-reference/aggregate-functions/reference/groupbitor.md

@@ -10,7 +10,7 @@ Applies bitwise `OR` for series of numbers.
 groupBitOr(expr)
 ```
 
-**Parameters**
+**Arguments**
 
 `expr` – An expression that results in `UInt*` type.
 

docs/en/sql-reference/aggregate-functions/reference/groupbitxor.md

@@ -10,7 +10,7 @@ Applies bitwise `XOR` for series of numbers.
 groupBitXor(expr)
 ```
 
-**Parameters**
+**Arguments**
 
 `expr` – An expression that results in `UInt*` type.
 

docs/en/sql-reference/aggregate-functions/reference/initializeAggregation.md

@@ -13,7 +13,7 @@ Use it for tests or to process columns of types `AggregateFunction` and `Aggrega
 initializeAggregation (aggregate_function, column_1, column_2);
 ```
 
-**Parameters**
+**Arguments**
 
 -   `aggregate_function` — Name of the aggregation function. The state of this function — the creating one. [String](../../../sql-reference/data-types/string.md#string).
 -   `column_n` — The column to translate it into the function as it's argument. [String](../../../sql-reference/data-types/string.md#string).

docs/en/sql-reference/aggregate-functions/reference/kurtpop.md

@@ -10,7 +10,7 @@ Computes the [kurtosis](https://en.wikipedia.org/wiki/Kurtosis) of a sequence.
 kurtPop(expr)
 ```
 
-**Parameters**
+**Arguments**
 
 `expr` — [Expression](../../../sql-reference/syntax.md#syntax-expressions) returning a number.
 

docs/en/sql-reference/aggregate-functions/reference/kurtsamp.md

@@ -12,7 +12,7 @@ It represents an unbiased estimate of the kurtosis of a random variable if passe
 kurtSamp(expr)
 ```
 
-**Parameters**
+**Arguments**
 
 `expr` — [Expression](../../../sql-reference/syntax.md#syntax-expressions) returning a number.
 

docs/en/sql-reference/aggregate-functions/reference/mannwhitneyutest.md

@@ -16,7 +16,7 @@ mannWhitneyUTest[(alternative[, continuity_correction])](sample_data, sample_ind
 Values of both samples are in the `sample_data` column. If `sample_index` equals to 0 then the value in that row belongs to the sample from the first population. Otherwise it belongs to the sample from the second population. 
 The null hypothesis is that two populations are stochastically equal. Also one-sided hypothesises can be tested. This test does not assume that data have normal distribution.
 
-**Parameters**
+**Arguments**
 
 -   `alternative` — alternative hypothesis. (Optional, default: `'two-sided'`.) [String](../../../sql-reference/data-types/string.md).
     -   `'two-sided'`;

docs/en/sql-reference/aggregate-functions/reference/quantile.md

@@ -18,7 +18,7 @@ quantile(level)(expr)
 
 Alias: `median`.
 
-**Parameters**
+**Arguments**
 
 -   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0.01, 0.99]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
 -   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).

docs/en/sql-reference/aggregate-functions/reference/quantiledeterministic.md

@@ -18,7 +18,7 @@ quantileDeterministic(level)(expr, determinator)
 
 Alias: `medianDeterministic`.
 
-**Parameters**
+**Arguments**
 
 -   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0.01, 0.99]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
 -   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).

docs/en/sql-reference/aggregate-functions/reference/quantileexact.md

@@ -18,7 +18,7 @@ quantileExact(level)(expr)
 
 Alias: `medianExact`.
 
-**Parameters**
+**Arguments**
 
 -   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0.01, 0.99]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
 -   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).
@@ -77,7 +77,7 @@ quantileExact(level)(expr)
 
 Alias: `medianExactLow`.
 
-**Parameters**
+**Arguments**
 
 -   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0.01, 0.99]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
 -   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).
@@ -128,7 +128,7 @@ quantileExactHigh(level)(expr)
 
 Alias: `medianExactHigh`.
 
-**Parameters**
+**Arguments**
 
 -   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0.01, 0.99]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
 -   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).

docs/en/sql-reference/aggregate-functions/reference/quantileexactweighted.md

@@ -18,7 +18,7 @@ quantileExactWeighted(level)(expr, weight)
 
 Alias: `medianExactWeighted`.
 
-**Parameters**
+**Arguments**
 
 -   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0.01, 0.99]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
 -   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).

docs/en/sql-reference/aggregate-functions/reference/quantiletdigest.md

@@ -20,7 +20,7 @@ quantileTDigest(level)(expr)
 
 Alias: `medianTDigest`.
 
-**Parameters**
+**Arguments**
 
 -   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0.01, 0.99]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
 -   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).

docs/en/sql-reference/aggregate-functions/reference/quantiletdigestweighted.md

@@ -20,7 +20,7 @@ quantileTDigest(level)(expr)
 
 Alias: `medianTDigest`.
 
-**Parameters**
+**Arguments**
 
 -   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0.01, 0.99]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
 -   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).

docs/en/sql-reference/aggregate-functions/reference/quantiletiming.md

@@ -18,7 +18,7 @@ quantileTiming(level)(expr)
 
 Alias: `medianTiming`.
 
-**Parameters**
+**Arguments**
 
 -   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0.01, 0.99]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
 

docs/en/sql-reference/aggregate-functions/reference/quantiletimingweighted.md

@@ -18,7 +18,7 @@ quantileTimingWeighted(level)(expr, weight)
 
 Alias: `medianTimingWeighted`.
 
-**Parameters**
+**Arguments**
 
 -   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0.01, 0.99]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
 

docs/en/sql-reference/aggregate-functions/reference/rankCorr.md

@@ -8,7 +8,7 @@ Computes a rank correlation coefficient.
 rankCorr(x, y)
 ```
 
-**Parameters**
+**Arguments**
 
 -   `x` — Arbitrary value. [Float32](../../../sql-reference/data-types/float.md#float32-float64) or [Float64](../../../sql-reference/data-types/float.md#float32-float64).
 -   `y` — Arbitrary value. [Float32](../../../sql-reference/data-types/float.md#float32-float64) or [Float64](../../../sql-reference/data-types/float.md#float32-float64).

docs/en/sql-reference/aggregate-functions/reference/skewpop.md

@@ -10,7 +10,7 @@ Computes the [skewness](https://en.wikipedia.org/wiki/Skewness) of a sequence.
 skewPop(expr)
 ```
 
-**Parameters**
+**Arguments**
 
 `expr` — [Expression](../../../sql-reference/syntax.md#syntax-expressions) returning a number.
 

docs/en/sql-reference/aggregate-functions/reference/skewsamp.md

@@ -12,7 +12,7 @@ It represents an unbiased estimate of the skewness of a random variable if passe
 skewSamp(expr)
 ```
 
-**Parameters**
+**Arguments**
 
 `expr` — [Expression](../../../sql-reference/syntax.md#syntax-expressions) returning a number.
 

docs/en/sql-reference/aggregate-functions/reference/studentttest.md

@@ -16,7 +16,7 @@ studentTTest(sample_data, sample_index)
 Values of both samples are in the `sample_data` column. If `sample_index` equals to 0 then the value in that row belongs to the sample from the first population. Otherwise it belongs to the sample from the second population.
 The null hypothesis is that means of populations are equal. Normal distribution with equal variances is assumed.
 
-**Parameters**
+**Arguments**
 
 -   `sample_data` — sample data. [Integer](../../../sql-reference/data-types/int-uint.md), [Float](../../../sql-reference/data-types/float.md) or [Decimal](../../../sql-reference/data-types/decimal.md).
 -   `sample_index` — sample index. [Integer](../../../sql-reference/data-types/int-uint.md).

docs/en/sql-reference/aggregate-functions/reference/topk.md

@@ -16,7 +16,7 @@ This function doesn’t provide a guaranteed result. In certain situations, erro
 
 We recommend using the `N < 10` value; performance is reduced with large `N` values. Maximum value of `N = 65536`.
 
-**Parameters**
+**Arguments**
 
 -   ‘N’ is the number of elements to return.
 

docs/en/sql-reference/aggregate-functions/reference/topkweighted.md

@@ -12,7 +12,7 @@ Similar to `topK` but takes one additional argument of integer type - `weight`.
 topKWeighted(N)(x, weight)
 ```
 
-**Parameters**
+**Arguments**
 
 -   `N` — The number of elements to return.
 

docs/en/sql-reference/aggregate-functions/reference/uniq.md

@@ -10,7 +10,7 @@ Calculates the approximate number of different values of the argument.
 uniq(x[, ...])
 ```
 
-**Parameters**
+**Arguments**
 
 The function takes a variable number of parameters. Parameters can be `Tuple`, `Array`, `Date`, `DateTime`, `String`, or numeric types.
 

docs/en/sql-reference/aggregate-functions/reference/uniqcombined.md

@@ -12,7 +12,7 @@ uniqCombined(HLL_precision)(x[, ...])
 
 The `uniqCombined` function is a good choice for calculating the number of different values.
 
-**Parameters**
+**Arguments**
 
 The function takes a variable number of parameters. Parameters can be `Tuple`, `Array`, `Date`, `DateTime`, `String`, or numeric types.
 

docs/en/sql-reference/aggregate-functions/reference/uniqexact.md

@@ -14,7 +14,7 @@ Use the `uniqExact` function if you absolutely need an exact result. Otherwise u
 
 The `uniqExact` function uses more memory than `uniq`, because the size of the state has unbounded growth as the number of different values increases.
 
-**Parameters**
+**Arguments**
 
 The function takes a variable number of parameters. Parameters can be `Tuple`, `Array`, `Date`, `DateTime`, `String`, or numeric types.
 

docs/en/sql-reference/aggregate-functions/reference/uniqhll12.md

@@ -10,7 +10,7 @@ Calculates the approximate number of different argument values, using the [Hyper
 uniqHLL12(x[, ...])
 ```
 
-**Parameters**
+**Arguments**
 
 The function takes a variable number of parameters. Parameters can be `Tuple`, `Array`, `Date`, `DateTime`, `String`, or numeric types.
 

docs/en/sql-reference/aggregate-functions/reference/welchttest.md

@@ -16,7 +16,7 @@ welchTTest(sample_data, sample_index)
 Values of both samples are in the `sample_data` column. If `sample_index` equals to 0 then the value in that row belongs to the sample from the first population. Otherwise it belongs to the sample from the second population.
 The null hypothesis is that means of populations are equal. Normal distribution is assumed. Populations may have unequal variance.
 
-**Parameters**
+**Arguments**
 
 -   `sample_data` — sample data. [Integer](../../../sql-reference/data-types/int-uint.md), [Float](../../../sql-reference/data-types/float.md) or [Decimal](../../../sql-reference/data-types/decimal.md).
 -   `sample_index` — sample index. [Integer](../../../sql-reference/data-types/int-uint.md).