fix: ensure output dtype can only be real-valued floating-point or generic

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---

Author: kgryte

lib/node_modules/@stdlib/stats/mean/README.md

@@ -75,7 +75,7 @@ The function has the following parameters:
 The function accepts the following options:
 
 -   **dims**: list of dimensions over which to perform a reduction. If not provided, the function performs a reduction over all elements in a provided input [ndarray][@stdlib/ndarray/ctor].
--   **dtype**: output ndarray [data type][@stdlib/ndarray/dtypes]. Must be a real-valued or "generic" [data type][@stdlib/ndarray/dtypes].
+-   **dtype**: output ndarray [data type][@stdlib/ndarray/dtypes]. Must be a real-valued floating-point or "generic" [data type][@stdlib/ndarray/dtypes].
 -   **keepdims**: boolean indicating whether the reduced dimensions should be included in the returned [ndarray][@stdlib/ndarray/ctor] as singleton dimensions. Default: `false`.
 
 By default, the function performs a reduction over all elements in a provided input [ndarray][@stdlib/ndarray/ctor]. To perform a reduction over specific dimensions, provide a `dims` option.
@@ -217,7 +217,7 @@ The method accepts the following options:
 ## Notes
 
 -   Setting the `keepdims` option to `true` can be useful when wanting to ensure that the output [ndarray][@stdlib/ndarray/ctor] is [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with ndarrays having the same shape as the input [ndarray][@stdlib/ndarray/ctor].
--   The output data type [policy][@stdlib/ndarray/output-dtype-policies] only applies to the main function and specifies that, by default, the function must return an [ndarray][@stdlib/ndarray/ctor] having the same [data type][@stdlib/ndarray/dtypes] as the input [ndarray][@stdlib/ndarray/ctor]. For the `assign` method, the output [ndarray][@stdlib/ndarray/ctor] is allowed to have any supported output [data type][@stdlib/ndarray/dtypes].
+-   The output data type [policy][@stdlib/ndarray/output-dtype-policies] only applies to the main function and specifies that, by default, the function must return an [ndarray][@stdlib/ndarray/ctor] having a real-valued floating-point or "generic" [data type][@stdlib/ndarray/dtypes]. For the `assign` method, the output [ndarray][@stdlib/ndarray/ctor] is allowed to have any supported output [data type][@stdlib/ndarray/dtypes].
 
 </section>
 

lib/node_modules/@stdlib/stats/mean/docs/repl.txt

@@ -11,7 +11,8 @@
         Function options.
 
     options.dtype: string (optional)
-        Output array data type. Must be a real-valued or "generic" data type.
+        Output array data type. Must be a real floating-point or "generic" data
+        type.
 
     options.dims: Array<integer> (optional)
         List of dimensions over which to perform a reduction. If not provided,

lib/node_modules/@stdlib/stats/mean/docs/types/index.d.ts

@@ -21,7 +21,7 @@
 /// <reference types="@stdlib/types"/>
 
 import { ArrayLike } from '@stdlib/types/array';
-import { RealAndGenericDataType as DataType, typedndarray } from '@stdlib/types/ndarray';
+import { RealFloatingPointAndGenericDataType as DataType, typedndarray } from '@stdlib/types/ndarray';
 
 /**
 * Input array.

lib/node_modules/@stdlib/stats/mean/lib/main.js

@@ -30,9 +30,9 @@ var factory = require( '@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-fac
 // VARIABLES //
 
 var idtypes = dtypes( 'real_and_generic' );
-var odtypes = dtypes( 'real_and_generic' );
+var odtypes = dtypes( 'real_floating_point_and_generic' );
 var policies = {
-	'output': 'same',
+	'output': 'real_floating_point_and_generic',
 	'casting': 'none'
 };
 var table = {