3. Create a function that will take a positive integer as an argument. This function should do the followings when it is called by the user. 1) Generate n numbers of normal distribution random number. The number n is equal to the value of your argument. 2) Count how many numbers are <-025, >=-0.25 & <=0.25, and >0.25. 3) Also, save numbers that fall into each category in variables A, B, and C A: Set of numbers less than or equal to -0.25 B: Set of numbers between -0.25 and 0.25 C: Set numbers larger than or equal to 0.25 4) Calculate the sum of numbers in A, sum of numbers in B, and sum of numbers in C 5) Generate text files that will contain A, B, and C.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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MATLAB SCRIPT PLEASE!

## Instructions for Creating a Function to Process Normal Distribution Random Numbers

### Objective:
Create a function that will take a positive integer as an argument. The function should perform the following steps when called by the user:

### Steps to Follow:

1. **Generate Random Numbers:**
   - Generate `n` numbers (where `n` is the argument value) of normal distribution random numbers.

2. **Classify the Numbers:**
   - Count how many numbers fall into the following categories:
     - Less than -0.25
     - Between -0.25 and 0.25 (inclusive)
     - Greater than 0.25

3. **Store Numbers in Sets:**
   - Save numbers that fall into each category in respective variables:
     - **A:** Set of numbers less than or equal to -0.25
     - **B:** Set of numbers between -0.25 and 0.25
     - **C:** Set of numbers larger than or equal to 0.25

4. **Calculate Sums:**
   - Calculate the sum of the numbers in:
     - **A**
     - **B**
     - **C**

5. **Generate Text Files:**
   - Create text files to store the numbers in:
     - **A**
     - **B**
     - **C**

### Example of Function Execution:
When the function is called with an argument, for example `5`, it should:

1. Generate 5 normal distribution random numbers.
2. Classify and count how many of these numbers fall into each of the defined categories.
3. Store numbers into sets A, B, and C according to the classification.
4. Calculate and report the sum of numbers in each set (A, B, and C).
5. Save the sets A, B, and C to text files.

By following these steps, you will create a comprehensive function that both processes and organizes random numerical data based on specified criteria.
Transcribed Image Text:## Instructions for Creating a Function to Process Normal Distribution Random Numbers ### Objective: Create a function that will take a positive integer as an argument. The function should perform the following steps when called by the user: ### Steps to Follow: 1. **Generate Random Numbers:** - Generate `n` numbers (where `n` is the argument value) of normal distribution random numbers. 2. **Classify the Numbers:** - Count how many numbers fall into the following categories: - Less than -0.25 - Between -0.25 and 0.25 (inclusive) - Greater than 0.25 3. **Store Numbers in Sets:** - Save numbers that fall into each category in respective variables: - **A:** Set of numbers less than or equal to -0.25 - **B:** Set of numbers between -0.25 and 0.25 - **C:** Set of numbers larger than or equal to 0.25 4. **Calculate Sums:** - Calculate the sum of the numbers in: - **A** - **B** - **C** 5. **Generate Text Files:** - Create text files to store the numbers in: - **A** - **B** - **C** ### Example of Function Execution: When the function is called with an argument, for example `5`, it should: 1. Generate 5 normal distribution random numbers. 2. Classify and count how many of these numbers fall into each of the defined categories. 3. Store numbers into sets A, B, and C according to the classification. 4. Calculate and report the sum of numbers in each set (A, B, and C). 5. Save the sets A, B, and C to text files. By following these steps, you will create a comprehensive function that both processes and organizes random numerical data based on specified criteria.
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