1diff --git a/DOCS.md b/DOCS.md
  2index 5cff1f3..adf5a9d 100644
  3--- a/DOCS.md
  4+++ b/DOCS.md
  5@@ -1516,6 +1516,17 @@
  6 @param rangeX - The range or array representing the independent data. 
  7 @constructor
  8 ```
  9+
 10+### ANDARDIZE 
 11+
 12+```
 13+  Returns the normalized equivalent of a random variable given mean and standard deviation of the distribution. 
 14+@param value - Value to be standardized. 
 15+@param meanValue - Arithmetic mean of the distribution 
 16+@param std - The standard deviation of the distribution or range. 
 17+@returns {number} 
 18+@constructor
 19+```
 20 ## Text
 21 
 22 
 23diff --git a/TODO.md b/TODO.md
 24index 0f50539..31b3d31 100644
 25--- a/TODO.md
 26+++ b/TODO.md
 27@@ -91,7 +91,6 @@ For example 64 tbs to a qt.
 28 * RSQ
 29 * SKEW
 30 * SMALL
 31-* STANDARDIZE
 32 * STEYX
 33 * T.INV
 34 * T.INV.2T
 35diff --git a/dist/Formulas/AllFormulas.js b/dist/Formulas/AllFormulas.js
 36index c4fac8f..1f7851d 100644
 37--- a/dist/Formulas/AllFormulas.js
 38+++ b/dist/Formulas/AllFormulas.js
 39@@ -137,6 +137,7 @@ exports.STDEVP = Statistical_1.STDEVP;
 40 exports.STDEVPA = Statistical_1.STDEVPA;
 41 exports.TRIMMEAN = Statistical_1.TRIMMEAN;
 42 exports.SLOPE = Statistical_1.SLOPE;
 43+exports.STANDARDIZE = Statistical_1.STANDARDIZE;
 44 var Text_1 = require("./Text");
 45 exports.ARABIC = Text_1.ARABIC;
 46 exports.CHAR = Text_1.CHAR;
 47diff --git a/dist/Formulas/Statistical.js b/dist/Formulas/Statistical.js
 48index 8cd1552..cd07590 100644
 49--- a/dist/Formulas/Statistical.js
 50+++ b/dist/Formulas/Statistical.js
 51@@ -759,3 +759,21 @@ var SLOPE = function (rangeY, rangeX) {
 52     return num / den;
 53 };
 54 exports.SLOPE = SLOPE;
 55+/**
 56+ * Returns the normalized equivalent of a random variable given mean and standard deviation of the distribution.
 57+ * @param value - Value to be standardized.
 58+ * @param meanValue - Arithmetic mean of the distribution
 59+ * @param std - The standard deviation of the distribution or range.
 60+ * @returns {number}
 61+ * @constructor
 62+ */
 63+var STANDARDIZE = function (value, meanValue, std) {
 64+    value = TypeConverter_1.TypeConverter.firstValueAsNumber(value);
 65+    meanValue = TypeConverter_1.TypeConverter.firstValueAsNumber(meanValue);
 66+    std = TypeConverter_1.TypeConverter.firstValueAsNumber(std);
 67+    if (std <= 0) {
 68+        throw new Errors_1.NumError("Function STANDARDIZE parameter 3 value is " + std + ". It should be greater than 0.");
 69+    }
 70+    return (value - meanValue) / std;
 71+};
 72+exports.STANDARDIZE = STANDARDIZE;
 73diff --git a/src/Formulas/AllFormulas.ts b/src/Formulas/AllFormulas.ts
 74index 2e80054..1fb3e28 100644
 75--- a/src/Formulas/AllFormulas.ts
 76+++ b/src/Formulas/AllFormulas.ts
 77@@ -142,7 +142,8 @@ import {
 78   STDEVP,
 79   STDEVPA,
 80   TRIMMEAN,
 81-  SLOPE
 82+  SLOPE,
 83+  STANDARDIZE
 84 } from "./Statistical";
 85 import {
 86   ARABIC,
 87@@ -353,5 +354,6 @@ export {
 88   TRIMMEAN,
 89   SLOPE,
 90   LOWER,
 91-  UPPER
 92+  UPPER,
 93+  STANDARDIZE
 94 }
 95\ No newline at end of file
 96diff --git a/src/Formulas/Statistical.ts b/src/Formulas/Statistical.ts
 97index c400066..04c6208 100644
 98--- a/src/Formulas/Statistical.ts
 99+++ b/src/Formulas/Statistical.ts
100@@ -740,6 +740,25 @@ var SLOPE = function (rangeY, rangeX) {
101 };
102 
103 
104+/**
105+ * Returns the normalized equivalent of a random variable given mean and standard deviation of the distribution.
106+ * @param value - Value to be standardized.
107+ * @param meanValue - Arithmetic mean of the distribution
108+ * @param std - The standard deviation of the distribution or range.
109+ * @returns {number}
110+ * @constructor
111+ */
112+var STANDARDIZE = function (value, meanValue, std) {
113+  value = TypeConverter.firstValueAsNumber(value);
114+  meanValue = TypeConverter.firstValueAsNumber(meanValue);
115+  std = TypeConverter.firstValueAsNumber(std);
116+  if (std <= 0) {
117+    throw new NumError("Function STANDARDIZE parameter 3 value is " + std + ". It should be greater than 0.");
118+  }
119+  return (value - meanValue) / std;
120+};
121+
122+
123 export {
124   AVERAGE,
125   AVERAGEA,
126@@ -767,5 +786,6 @@ export {
127   STDEVP,
128   STDEVPA,
129   TRIMMEAN,
130-  SLOPE
131+  SLOPE,
132+  STANDARDIZE
133 }
134\ No newline at end of file
135diff --git a/tests/Formulas/StatisticalTest.ts b/tests/Formulas/StatisticalTest.ts
136index cebdb11..62ca8bf 100644
137--- a/tests/Formulas/StatisticalTest.ts
138+++ b/tests/Formulas/StatisticalTest.ts
139@@ -25,7 +25,8 @@ import {
140   STDEVP,
141   STDEVPA,
142   TRIMMEAN,
143-  SLOPE
144+  SLOPE,
145+  STANDARDIZE
146 } from "../../src/Formulas/Statistical";
147 import * as ERRORS from "../../src/Errors";
148 import {
149@@ -586,4 +587,18 @@ test("SLOPE", function() {
150   catchAndAssertEquals(function() {
151     SLOPE([1, 3], [1]);
152   }, ERRORS.NA_ERROR);
153+});
154+
155+test("STANDARDIZE", function() {
156+  assertEquals(STANDARDIZE(10, 2, 1), 8);
157+  assertEquals(STANDARDIZE(44, 2.1, 99), 0.42323232323232324);
158+  assertEquals(STANDARDIZE(10, 2, [1, []]), 8);
159+  assertEquals(STANDARDIZE(44, 0, 10), 4.4);
160+  assertEquals(STANDARDIZE(0, 0, 1), 0);
161+  catchAndAssertEquals(function() {
162+    STANDARDIZE(44, 2.1, 0);
163+  }, ERRORS.NUM_ERROR);
164+  catchAndAssertEquals(function() {
165+    STANDARDIZE(44, 2.1, -10);
166+  }, ERRORS.NUM_ERROR);
167 });
168\ No newline at end of file
169diff --git a/tests/SheetFormulaTest.ts b/tests/SheetFormulaTest.ts
170index f275ae4..ca7569f 100644
171--- a/tests/SheetFormulaTest.ts
172+++ b/tests/SheetFormulaTest.ts
173@@ -703,6 +703,10 @@ test("Sheet UPPER", function(){
174   assertFormulaEquals('=UPPER("str")', "STR");
175 });
176 
177+test("Sheet STANDARDIZE", function(){
178+  assertFormulaEquals('=STANDARDIZE(10, 2, 1)', 8);
179+});
180+
181 test("Sheet *", function(){
182   assertFormulaEquals('= 10 * 10', 100);
183   assertFormulaEquals('= 10 * 0', 0);