diff --git a/solutions/day-01/classes/level3.js b/solutions/day-01/classes/level3.js
index 7966fa1..382b325 100644
--- a/solutions/day-01/classes/level3.js
+++ b/solutions/day-01/classes/level3.js
@@ -7,20 +7,70 @@ calculations as method for the Statistics class. Check the output below. */
 ages = [31, 26, 34, 37, 27, 26, 32, 32, 26, 27, 27, 24, 32, 33, 27, 25, 26, 38, 37, 31, 34, 24, 33, 29, 26]
 
 class Statistics{
-    //code goes here
+    constructor(ages){
+        this.ages = ages
+    }
+    count(){
+        return this.ages.length
+    }
+    sum(){
+        return this.ages.reduce((a,b)=>{return a + b});
+    }
+    min(){
+        return Math.min(...this.ages);
+    }
+    max(){
+        return Math.max(...this.ages);
+    }
+    range(){
+        return this.max() - this.min();
+    }
+    mean(){
+        return Math.ceil(this.sum() / this.count());
+    }
+    median(){
+        return this.ages.sort()[Math.floor(this.count()/2)];
+    }
+    mode(){
+        let mode = 0, count = 0, num = {};
+        this.ages.sort().forEach((element,index,array) => {
+            if(num[element]){ //add each number to object
+                num[element]++; //increment key if object added already
+            }else{
+                num[element] = 1; 
+            }
+            
+            if(count < num[element]){ // check if highest stored count is smaller than processed number
+                mode = array[index]; // store number
+                count = num[element]; // store count of number
+            }
+
+        });
+        return`(${mode}, ${count})`
+    }
+    describe(){
+        return `Count: ${this.count()}\nSum: ${this.sum()}\nMin: ${this.min()}\nMax: ${this.max()}\nRange: ${this.range()}
+Mean: ${this.mean()}\nMedian: ${this.median()}\nMode: ${this.mode()}`;
+    }
+
 }
 
+let statistics = new Statistics(ages);
+console.log(statistics.describe())
+
+// only did up to Mode
+// Skipped the rest since I don't know how to find variance, standard deviations and frequencey distribution
+
 // console.log('Count:', statistics.count()) // 25
 // console.log('Sum: ', statistics.sum()) // 744
 // console.log('Min: ', statistics.min()) // 24
 // console.log('Max: ', statistics.max()) // 38
-// console.log('Range: ', statistics.range() // 14
+// console.log('Range: ', statistics.range()) // 14
 // console.log('Mean: ', statistics.mean()) // 30
 // console.log('Median: ',statistics.median()) // 29
 // console.log('Mode: ', statistics.mode()) // {'mode': 26, 'count': 5}
 // console.log('Variance: ',statistics.var()) // 17.5
 // console.log('Standard Deviation: ', statistics.std()) // 4.2
-// console.log('Variance: ',statistics.var()) // 17.5
 // console.log('Frequency Distribution: ',statistics.freqDist()) // [(20.0, 26), (16.0, 27), (12.0, 32), (8.0, 37), (8.0, 34), (8.0, 33), (8.0, 31), (8.0, 24), (4.0, 38), (4.0, 29), (4.0, 25)]
 
 // you output should look like this