style: fix line wrapping

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: passed
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: kgryte

lib/node_modules/@stdlib/stats/base/ndarray/variancech/docs/repl.txt

@@ -1,7 +1,7 @@
 
 {{alias}}( arrays )
-    Computes the variance of a one-dimensional ndarray using a
-    one-pass trial mean algorithm.
+    Computes the variance of a one-dimensional ndarray using a one-pass trial
+    mean algorithm.
 
     If provided an empty one-dimensional ndarray, the function returns `NaN`.
 
@@ -16,15 +16,14 @@
         ndarray and a zero-dimensional ndarray specifying the degrees of freedom
         adjustment. Providing a non-zero degrees of freedom adjustment has the
         effect of adjusting the divisor during the calculation of the variance
-        according to `N-c` where `N` is the number of elements in the
-        input ndarray and `c` corresponds to the provided degrees of freedom
-        adjustment. When computing the variance of a population,
-        setting this parameter to `0` is the standard choice (i.e., the provided
-        array contains data constituting an entire population). When computing
-        the corrected sample variance, setting this parameter to `1`
-        is the standard choice (i.e., the provided array contains data sampled
-        from a larger population; this is commonly referred to as Bessel's
-        correction).
+        according to `N-c` where `N` is the number of elements in the input
+        ndarray and `c` corresponds to the provided degrees of freedom
+        adjustment. When computing the variance of a population, setting this
+        parameter to `0` is the standard choice (i.e., the provided array
+        contains data constituting an entire population). When computing the
+        corrected sample variance, setting this parameter to `1` is the standard
+        choice (i.e., the provided array contains data sampled from a larger
+        population; this is commonly referred to as Bessel's correction).
 
     Returns
     -------