Question

Google Classroom

Microsoft Teams
Problem
Aubree collected data about exams in each of her classes from the previous year.
Plot the data in a scatter plot.
Class English Math History Computer science Arts Biology
Period






Average score

Answer 1

To create a scatter plot for Aubree's exam data, we first need to organize the data in a structured manner. Since you haven't provided the average scores for the different classes, I’ll illustrate how to set up the data and what the process looks like based on generic examples.

### Step 1: Data Organization
Assuming we have average scores for each class, let's say the average scores are as follows:

| Class | Average Score |
|-------------------|---------------|
| English | 75 |
| Math | 88 |
| History | 82 |
| Computer Science | 90 |
| Arts | 70 |
| Biology | 85 |

### Step 2: Create the Scatter Plot
1. **Label the Axes:**
- **X-axis:** Classes (could be represented by numerical values or categorical labels)
- **Y-axis:** Average Scores

2. **Plot the Points:**
Each class will have a point corresponding to its average score.

### Example Representation of Scatter Plot in Python (Using Matplotlib)
If you're using Python and Matplotlib for plotting, here's how you could construct the plot:

```python
import matplotlib.pyplot as plt

# Data
classes = ['English', 'Math', 'History', 'Computer Science', 'Arts', 'Biology']
average_scores = [75, 88, 82, 90, 70, 85]

# Create scatter plot
plt.figure(figsize=(10, 6))
plt.scatter(classes, average_scores, color='blue')

# Adding labels and title
plt.title('Average Exam Scores by Class')
plt.xlabel('Class')
plt.ylabel('Average Score')
plt.ylim(0, 100) # Assuming scores range from 0 to 100

# Show grid
plt.grid()

# Display plot
plt.show()
```

### Notes:
- If the scores aren't provided, you'll need to fill in the data first.
- You may also choose to represent the classes differently on the x-axis (numeric indices instead of names) depending on your preferences.
- Each point can be customized by adding labels or using different colors.

Once you have the actual average scores, you can replace the example data and execute the code to generate the scatter plot.