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diff --git a/Chapter_1-3/Cargo.toml b/Chapter_1-3/Cargo.toml
new file mode 100644
index 0000000..3d3be2e
--- /dev/null
+++ b/Chapter_1-3/Cargo.toml
@@ -0,0 +1,14 @@
+[package]
+name = "chapter_1-3"
+version = "0.1.0"
+edition = "2021"
+
+[dependencies]
+rand = "0.9.0"
+
+[dev-dependencies]
+criterion = { version = "0.4", features = ["html_reports"] }
+
+[[bench]]
+name = "my_benchmark"
+harness = false
diff --git a/README.md b/Chapter_1-3/README.md
similarity index 100%
rename from README.md
rename to Chapter_1-3/README.md
diff --git a/Chapter_1-3/benches/my_benchmark/main.rs b/Chapter_1-3/benches/my_benchmark/main.rs
new file mode 100644
index 0000000..8578f26
--- /dev/null
+++ b/Chapter_1-3/benches/my_benchmark/main.rs
@@ -0,0 +1,45 @@
+use criterion::{criterion_group, criterion_main, Criterion, BenchmarkId};
+use chapter_1_3::weighted::wei_dist::weighted_distribution;
+use chapter_1_3::uniform::uni_dist::uniform_distribution;
+use rand::random_range;
+
+fn bench_distributions(c: &mut Criterion) {
+    let mut group = c.benchmark_group("Distribution Comparison");
+
+    let matched = [false; 100];
+    let success = 0;
+    let loop_amount = 0;
+
+    for &array_size in &[4, 8, 12] {
+        let mut extracted_array_u64 = vec![0; array_size];  // Adjust size
+        let mut extracted_array_f32 = vec![0.0; array_size]; // Adjust size
+        for i in extracted_array_u64.iter_mut() {
+            let generated_u64 = random_range(0..=1000);
+            *i = generated_u64
+        };
+        for i in extracted_array_f32.iter_mut() {
+            let generated_f32 = random_range(0.0..=1.0);
+            *i = generated_f32
+        };
+        group.bench_with_input(
+            BenchmarkId::new("WEIGHTED-DISTRIBUTION", array_size),
+            &array_size,
+            |b, &_| {
+                b.iter(|| weighted_distribution(loop_amount, &mut extracted_array_u64, matched))
+            },
+        );
+
+        group.bench_with_input(
+            BenchmarkId::new("UNIFORM-DISTRIBUTION", array_size),
+            &array_size,
+            |b, &array_size| {
+                b.iter(|| uniform_distribution(loop_amount, array_size as u16, &mut extracted_array_f32, success, matched))
+            },
+        );
+    }
+
+    group.finish();
+}
+
+criterion_group!(benches, bench_distributions);
+criterion_main!(benches);
diff --git a/Chapter_1-3/src/lib.rs b/Chapter_1-3/src/lib.rs
new file mode 100644
index 0000000..ecf9846
--- /dev/null
+++ b/Chapter_1-3/src/lib.rs
@@ -0,0 +1,3 @@
+pub mod uniform;
+pub mod weighted;
+
diff --git a/Chapter_1-3/src/main.rs b/Chapter_1-3/src/main.rs
new file mode 100644
index 0000000..07619e4
--- /dev/null
+++ b/Chapter_1-3/src/main.rs
@@ -0,0 +1,118 @@
+use std::{io,time::Instant};
+use rand::random_range;
+
+mod uniform;
+use uniform::uni_dist;
+
+mod weighted;
+use weighted::wei_dist;
+
+fn main() {
+    // taking input from the user 
+    println!("Please enter the amount of random generated floats you want in your array \n-------------------------------------");
+    let mut user_input = String::new();
+    io::stdin()
+        .read_line(&mut user_input)
+        .expect("unable to read user input");
+    //parsing the input into a unsigned int
+    let user_input = user_input.trim().parse::<u16>().unwrap();
+    //Instructing only valid inputs are between 1-10_000
+    if user_input < 1 { println!("user input is less than one")} else if user_input > 1_00 {println!("user input is greater that 100")} 
+    // here the user generates userinput(N) amount of random float numbers between 0 and 1 and
+    // subsequently push them into an array
+    else {
+        const _BILLION:u64 = 1000000000;
+
+        //initalizing the arrays
+        let mut float_array:[f32;1_00] = [0.0;1_00];
+        let mut int_array:[u64;100] = [0;100];
+
+        //doubles as a counter and an index for the array
+        let mut array_index:u16 = 0;
+
+
+        //the loop to fill the array
+        loop {
+            //initalizing random float with in range
+            let generated_float:f32 = random_range(0.0..=1.0);
+
+            //initalizing random float with in range
+            let generated_int:u64 = random_range(0..=1000);
+
+            //pushing random float into array
+            float_array[array_index as usize] = generated_float;
+
+            //pushing random float into array
+            int_array[array_index as usize] = generated_int;
+
+            array_index += 1;
+            if array_index == user_input || array_index == 100 {break}
+        }
+        //we are extracting the an array of the random generated numbers only since rust doesnt
+        //allow dynamically sized arrays
+        let extracted_float = &mut float_array[0..user_input as usize];
+        let extracted_int = &mut int_array[0..user_input as usize];
+
+        //For the uniform and the weighted distribution
+        println!("-------------------------------------\nThis is the extracted array with the random generated numbers:\n{:#?}", extracted_float);
+        println!("-------------------------------------\nThis is the extracted array with the random generated numbers:\n{:#?}", extracted_int);
+        let mut uniform_total_loop = 0;
+        let mut weighted_total_loop = 0;
+
+        let mut uniform_loop_array:[u64;7] = [0;7];
+        let mut uniform_time_array:[f32;7] = [0.0;7];
+
+        let mut weighted_loop_array:[u64;7] = [0;7];
+        let mut weighted_time_array:[f32;7] = [0.0;7];
+        //looping hundred times
+        //initalizing the loop counter
+        '_uniform_distribution:loop {        
+            let matched = [false; 100]; // Fixed-size array to track matched elements
+            let success = 0;
+            let loop_amount = 0;
+            println!("---------------------------------- Loop({})-UNIFORM_DISTRIBUTION",uniform_total_loop + 1);
+
+            // Loop to see how much it takes to regenerate the same numbers
+            let now = Instant::now();
+            let loop_amount = uni_dist::uniform_distribution(loop_amount, user_input, extracted_float, success, matched);
+            let time_taken = now.elapsed().as_secs_f32();
+            uniform_loop_array[uniform_total_loop] = loop_amount;
+            uniform_time_array[uniform_total_loop] = time_taken;
+            uniform_total_loop += 1;
+            if uniform_total_loop == 7 {break}
+        }
+
+        '_weighted_distribution:loop {        
+            let matched = [false; 100]; // Fixed-size array to track matched elements
+            let loop_amount = 0;
+            println!("---------------------------------- Loop({})-WEIGHTED_DISTRIBUTION",weighted_total_loop + 1);
+
+            // Loop to see how much it takes to regenerate the same numbers
+            let now = Instant::now();
+            let loop_amount = wei_dist::weighted_distribution(loop_amount,extracted_int, matched);
+            let time_taken = now.elapsed().as_secs_f32();
+            weighted_loop_array[weighted_total_loop] = loop_amount;
+            weighted_time_array[weighted_total_loop] = time_taken;
+            weighted_total_loop += 1;
+            if weighted_total_loop == 7 {break}
+        }
+
+        uniform_loop_array.sort();
+        uniform_time_array.sort_by(|a, b| a.partial_cmp(b).unwrap());
+
+        weighted_loop_array.sort();
+        weighted_time_array.sort_by(|a, b| a.partial_cmp(b).unwrap());
+        //for debugging purposes
+        //println!("Array {:#?}",loop_array);
+        //println!("Array {:#?}",time_array);
+        println!("\n------------FOR THE UNIFORM DISTRIBUTION------------");
+        println!("This is the Minimum loop {} and time {} needed",uniform_loop_array[0] ,uniform_time_array[0]);
+        println!("This is the Average loop {} and time {} needed",uniform_loop_array[3] ,uniform_time_array[3]);
+        println!("This is the Maxmimum loop {} and time {} needed",uniform_loop_array[6] ,uniform_time_array[6]);
+        println!("\n------------FOR THE WEIGHTED DISTRIBUTION------------");
+        println!("This is the Minimum loop {} and time {} needed",weighted_loop_array[0] ,weighted_time_array[0]);
+        println!("This is the Average loop {} and time {} needed",weighted_loop_array[3] ,weighted_time_array[3]);
+        println!("This is the Maxmimum loop {} and time {} needed",weighted_loop_array[6] ,weighted_time_array[6]);
+
+    }
+}
diff --git a/Chapter_1-3/src/uniform.rs b/Chapter_1-3/src/uniform.rs
new file mode 100644
index 0000000..12af91f
--- /dev/null
+++ b/Chapter_1-3/src/uniform.rs
@@ -0,0 +1 @@
+pub mod uni_dist;
diff --git a/Chapter_1-3/src/uniform/uni_dist.rs b/Chapter_1-3/src/uniform/uni_dist.rs
new file mode 100644
index 0000000..a6fed1b
--- /dev/null
+++ b/Chapter_1-3/src/uniform/uni_dist.rs
@@ -0,0 +1,27 @@
+pub fn uniform_distribution(loop_amount:u64, user_input:u16, extracted_array:&mut [f32], success:u16, matched:[bool;100]) -> u64 {
+    let mut loop_amount = loop_amount;
+    let mut success = success;
+    let mut matched = matched;
+
+    // Loop to see how much it takes to regenerate the same numbers
+    loop {
+        // Generate a random float
+        let generated_float: f32 = rand::random_range(0.0..=1.0);
+
+        // Iterate over the array to find a match
+        for i in 0..extracted_array.len() {
+            if !matched[i] && extracted_array[i] == generated_float {
+                println!("Match for index {} found",success);
+                success += 1;
+                // checking for matched random numbers so it doesnt match it again
+                matched[i] = true;
+                break; 
+            }
+        }
+
+        loop_amount += 1;
+
+        if success == user_input {break}
+    }
+    loop_amount
+}
diff --git a/Chapter_1-3/src/weighted.rs b/Chapter_1-3/src/weighted.rs
new file mode 100644
index 0000000..011546d
--- /dev/null
+++ b/Chapter_1-3/src/weighted.rs
@@ -0,0 +1 @@
+pub mod wei_dist;
diff --git a/Chapter_1-3/src/weighted/wei_dist.rs b/Chapter_1-3/src/weighted/wei_dist.rs
new file mode 100644
index 0000000..b299ef1
--- /dev/null
+++ b/Chapter_1-3/src/weighted/wei_dist.rs
@@ -0,0 +1,46 @@
+use rand::random_range;
+
+pub fn weighted_distribution(loop_amount:u64, extracted_array:&mut [u64], matched:[bool;100]) -> u64 {
+    //initalizing variables
+    const  ONE_HUNDRED:u64 = 100;
+    let mut loop_amount = loop_amount;
+    let mut matched = matched;
+
+    let mut weight_interval = 0;
+    let mut weight_array:[(u64,u64,u64);10] = [(0,ONE_HUNDRED,0);10];
+    for value in weight_array.iter_mut() {
+        value.0 += weight_interval;
+        value.1 += weight_interval;
+        for i in extracted_array.iter() {
+            if value.0 < *i && *i < value.1 { value.2+=1 }
+        }
+        weight_interval += ONE_HUNDRED;
+    }
+    //sorting based on they're weights
+    weight_array.sort_by(|b, a| a.2.cmp(&b.2));
+    println!("WEIGHT MAP \n {:?}",weight_array);
+
+    // Loop to generate the same numbers based on they're weights
+    loop {
+        // Generate a random float
+        let generated_num = random_range(weight_array[0].0..weight_array[0].1);
+
+        // Iterate over the array to find a match
+        for (i,value) in extracted_array.iter().enumerate() {
+            if !matched[i] && *value == generated_num {
+                println!("HIT, match found for interval {} - {}",weight_array[0].0,weight_array[0].1);
+                //making sure the weight decreases for each hit 
+                weight_array[0].2 -= 1;
+                // checking for matched random numbers so it doesnt match it again
+                matched[i] = true;
+            }
+        }
+
+        // re-sorting the arrays so that we always generate numbers for the highest weight interval
+        weight_array.sort_by(|b, a| a.2.cmp(&b.2));
+        loop_amount += 1;
+
+        if weight_array[0].2 == 0 {break}
+    }
+    loop_amount
+}