Question
The test scores of the students in three different classes are represented by the dot plots below. Drag each class listed below to the box where it belongs so that it matches the description of the statistic. Statistic Description Class The class with the lowest mean Response area The class with the highest mean Response area The class with the smallest standard deviation Response area
Answers
GPT-4o mini
To correctly categorize each class based on the statistics provided, we need to analyze the dot plots for their mean (average) score and standard deviation (which indicates the spread of the scores).
Here’s how you can determine which class belongs to each description:
1. **Lowest Mean:** Review the average score of each class. The class with the scores that sum to the least amount divided by the number of students will have the lowest mean.
2. **Highest Mean:** Similarly, identify the class with the highest average score, which will be the one with the highest sum of scores divided by the number of students.
3. **Smallest Standard Deviation:** The class with the smallest standard deviation will show scores that are closer together (less spread out). You can look for a class where most of the scores cluster closely around the mean.
Without explicit dot plots provided for these classes, I can guide you on how to evaluate them if you can look at the dot plots yourself:
- Evaluate averages by calculating the mean of scores for each class.
- Determine the spread of scores to find the standard deviation, typically using a calculator or spreadsheet.
Once you have evaluated the classes according to those criteria, you can drag each class to the corresponding response area based on their statistical characteristics.
If you provide specific details about the dot plots or individual scores, I can help you further analyze and categorize them.
Here’s how you can determine which class belongs to each description:
1. **Lowest Mean:** Review the average score of each class. The class with the scores that sum to the least amount divided by the number of students will have the lowest mean.
2. **Highest Mean:** Similarly, identify the class with the highest average score, which will be the one with the highest sum of scores divided by the number of students.
3. **Smallest Standard Deviation:** The class with the smallest standard deviation will show scores that are closer together (less spread out). You can look for a class where most of the scores cluster closely around the mean.
Without explicit dot plots provided for these classes, I can guide you on how to evaluate them if you can look at the dot plots yourself:
- Evaluate averages by calculating the mean of scores for each class.
- Determine the spread of scores to find the standard deviation, typically using a calculator or spreadsheet.
Once you have evaluated the classes according to those criteria, you can drag each class to the corresponding response area based on their statistical characteristics.
If you provide specific details about the dot plots or individual scores, I can help you further analyze and categorize them.