docs: remove duplicate words in documentation

PR-URL: #9555
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: shiavm006

lib/node_modules/@stdlib/repl/info/data/data.csv

@@ -2564,7 +2564,7 @@ base.wrap,"\nbase.wrap( v:number, min:number, max:number )\n    Wraps a value to
 base.xlog1py,"\nbase.xlog1py( x:number, y:number )\n    Computes `x * ln(y+1)` so that the result is `0` if `x = 0`.\n"
 base.xlogy,"\nbase.xlogy( x:number, y:number )\n    Computes `x * ln(y)` so that the result is `0` if `x = 0`.\n"
 base.zeta,"\nbase.zeta( s:number )\n    Evaluates the Riemann zeta function as a function of a real variable `s`.\n"
-BERNDT_CPS_WAGES_1985,"\nBERNDT_CPS_WAGES_1985()\n    Returns a random sample of 534 workers from the Current Population Survey\n    (CPS) from 1985, including their wages and and other characteristics.\n"
+BERNDT_CPS_WAGES_1985,"\nBERNDT_CPS_WAGES_1985()\n    Returns a random sample of 534 workers from the Current Population Survey\n    (CPS) from 1985, including their wages and other characteristics.\n"
 bifurcate,"\nbifurcate( collection:Array|TypedArray|Object, [options:Object,] \n  filter:Array|TypedArray|Object )\n    Splits values into two groups.\n"
 bifurcateBy,"\nbifurcateBy( collection:Array|TypedArray|Object, [options:Object,] \n  predicate:Function )\n    Splits values into two groups according to a predicate function.\n"
 bifurcateByAsync,"\nbifurcateByAsync( collection:Array|TypedArray|Object, [options:Object,] \n  predicate:Function, done:Function )\n    Splits values into two groups according to a predicate function.\n"

lib/node_modules/@stdlib/stats/base/dists/arcsine/mode/README.md

@@ -26,7 +26,7 @@ limitations under the License.
 
 <section class="intro">
 
-The [mode][mode] for an [arcsine][arcsine-distribution] random variable with with minimum support `a` and maximum support `b` is
+The [mode][mode] for an [arcsine][arcsine-distribution] random variable with minimum support `a` and maximum support `b` is
 
 <!-- <equation class="equation" label="eq:arcsine_mode" align="center" raw="\operatorname{mode}\left( X \right) = \{ a, b \}" alt="Mode for an arcsine distribution."> -->
 

lib/node_modules/@stdlib/stats/base/dists/arcsine/skewness/README.md

@@ -26,7 +26,7 @@ limitations under the License.
 
 <section class="intro">
 
-The [skewness][skewness] for an [arcsine][arcsine-distribution] random variable with with minimum support `a` and maximum support `b` is
+The [skewness][skewness] for an [arcsine][arcsine-distribution] random variable with minimum support `a` and maximum support `b` is
 
 <!-- <equation class="equation" label="eq:arcsine_skewness" align="center" raw="\operatorname{skew}\left( X \right) = 0" alt="Skewness for an arcsine distribution."> -->
 

lib/node_modules/@stdlib/stats/base/dists/discrete-uniform/ctor/lib/main.js

@@ -56,7 +56,7 @@ function discreteUniformCDF( x ) {
 }
 
 /**
-* Evaluates the the natural logarithm of the cumulative distribution function (logCDF).
+* Evaluates the natural logarithm of the cumulative distribution function (logCDF).
 *
 * @private
 * @param {number} x - input value

lib/node_modules/@stdlib/stats/base/dists/uniform/ctor/lib/main.js

@@ -57,7 +57,7 @@ function uniformCDF( x ) {
 }
 
 /**
-* Evaluates the the natural logarithm of the cumulative distribution function (logCDF).
+* Evaluates the natural logarithm of the cumulative distribution function (logCDF).
 *
 * @private
 * @param {number} x - input value