### Calculating Adjusted Averages in a Math ClassIn a math course, to ensure fairness in assessment, an instructor uses a method where each student's lowest test score is dropped before calculating their average score. The process involves designing a program to automate this calculation for each student. Here’s how it works:#### Algorithm Steps:1. **Retrieve Student Test Scores**: Extract scores from the provided data file.2. **Calculate Total Score**: Add up all the scores.3. **Identify the Lowest Score**: Determine the smallest score in the dataset.4. **Adjust Total Score**: Subtract the lowest score from the total.5. **Calculate Adjusted Average**: Divide the adjusted total by one less than the number of test scores.6. **Display the Average**: Show the final calculated average for each student.### Example DataThe test scores are stored in a text file named `scores.txt` with the following data:- Mickey: 71.0, 42.0, 83.0- Donald: 94.0, 73.0, 72.0, 81.0- Minnie: 95.0, 85.0, 45.0, 55.0, 65.0### Sample Program ExecutionWhen you run the program, it prompts for a file containing scores:```plaintextEnter a file containing floating point numbers: scores.txt```**Output:**- **Mickey's Scores** - Initial Scores: `[71.0, 42.0, 83.0]` - Removed the lowest score: 42.0 - Adjusted Average: 77.00- **Donald's Scores** - Initial Scores: `[94.0, 73.0, 72.0, 81.0]` - Removed the lowest score: 72.0 - Adjusted Average: 82.67This method ensures that an outlier or exceptionally low score does not unduly affect a student’s overall performance assessment. By following this algorithm, educators can easily calculate and display accurate adjusted averages for their students.

a=[];sum1=0for i in range(0,10):i=int(input("enter test score: "))a.append(i)print("Test scores :…

An instructor gives a series of exams during the semester in her math class. At the end of the semester she drops each student's lowest test score before averaging the scores. She has asked you to design a program that will read a student's test scores as input and calculate the average with the lowest score dropped. Here is the algorithm that you developed:

An instructor gives a series of exams during the semester in her math class. At the end of the semester she drops each student's lowest test score before averaging the scores. She has asked you to design a program that will read a student's test scores as input and calculate the average with the lowest score dropped. Here is the algorithm that you developed:

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

Problem 1PE

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Question

### Calculating Adjusted Averages in a Math Class

In a math course, to ensure fairness in assessment, an instructor uses a method where each student's lowest test score is dropped before calculating their average score. The process involves designing a program to automate this calculation for each student. Here’s how it works:

#### Algorithm Steps:
1. **Retrieve Student Test Scores**: Extract scores from the provided data file.
2. **Calculate Total Score**: Add up all the scores.
3. **Identify the Lowest Score**: Determine the smallest score in the dataset.
4. **Adjust Total Score**: Subtract the lowest score from the total.
5. **Calculate Adjusted Average**: Divide the adjusted total by one less than the number of test scores.
6. **Display the Average**: Show the final calculated average for each student.

### Example Data

The test scores are stored in a text file named `scores.txt` with the following data:

- Mickey: 71.0, 42.0, 83.0
- Donald: 94.0, 73.0, 72.0, 81.0
- Minnie: 95.0, 85.0, 45.0, 55.0, 65.0

### Sample Program Execution

When you run the program, it prompts for a file containing scores:

```plaintext
Enter a file containing floating point numbers: scores.txt
```

**Output:**

- **Mickey's Scores**
- Initial Scores: `[71.0, 42.0, 83.0]`
- Removed the lowest score: 42.0
- Adjusted Average: 77.00

- **Donald's Scores**
- Initial Scores: `[94.0, 73.0, 72.0, 81.0]`
- Removed the lowest score: 72.0
- Adjusted Average: 82.67

This method ensures that an outlier or exceptionally low score does not unduly affect a student’s overall performance assessment. By following this algorithm, educators can easily calculate and display accurate adjusted averages for their students.

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