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Merge pull request #728 from Quantum-Software-Development/FabianaCampanari-patch-1
Update README.md
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README.md

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### - $u =$, $v =$.
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```latex
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u =$, $v =
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```
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#### - **New reduced costs**:
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| Task 2 | 1 | 3 | 2 |
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| Task 3 | 5 | 2 | 4 |
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<br>
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## Step 1: Set Up the Excel Spreadsheet
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### 1- [Modulo in Random Number Simulations]():
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## 1- [Modulo in Random Number Simulations]():
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#### ➢ Animated Visualization of the [Remainder from Integer Division]() Used in Random Number Simulations.
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### ➢ Animated Visualization of the [Remainder from Integer Division]() Used in Random Number Simulations.
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### 2- [Why Use Modulo in Random Number Simulations]() ?
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## 2- [Why Use Modulo in Random Number Simulations]() ?
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In simulations, we often need random values within a specific interval — for example, simulating a dice roll (1 to 6) or selecting a random day of the week (0 to 6). Random number generators typically produce large numbers, so the modulo operation helps normalize these into the desired range.
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### 3- [Example]():
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## 3- [Example]():
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Imagine your random number generator gives you a number like 247. If you want to simulate a 6-sided dice roll:
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### 4- [Summary]():
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## 4- [Summary]():
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In simulations, the % operator is a simple and efficient way to control the range of random outputs. It transforms raw random data into usable, context-specific values, essential for realistic and accurate simulation scenarios.
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