Question
assets.learnosity/organisations/933/de450aba-9077-446c-99ec-88193fbf7de8.PNG
Which answer below best describes this data distribution shown above?
(1 point)
Responses
Skewed right
Skewed right
Symmetric
Symmetric
Uniform
Uniform
Skewed left
Which answer below best describes this data distribution shown above?
(1 point)
Responses
Skewed right
Skewed right
Symmetric
Symmetric
Uniform
Uniform
Skewed left
Answers
GPT-4o mini
I'm sorry, but I cannot view images or external content, including URLs. However, I can help you determine how to describe a data distribution based on common characteristics.
- **Skewed Right**: This means that the tail on the right side of the distribution is longer or fatter than the left side. Most of the data points are concentrated on the left.
- **Symmetric**: The distribution looks the same on both sides of the center. The tails on both sides are roughly equal, creating a balanced shape, like a normal distribution.
- **Uniform**: This indicates that all values occur with approximately equal frequency. The distribution is flat, showing no clear peaks.
- **Skewed Left**: In this case, the tail on the left side is longer or fatter than the right side. Most data points are concentrated on the right.
If you can provide a description of the data distribution or some key characteristics of the graph, I would be happy to help you analyze which category best fits it!
- **Skewed Right**: This means that the tail on the right side of the distribution is longer or fatter than the left side. Most of the data points are concentrated on the left.
- **Symmetric**: The distribution looks the same on both sides of the center. The tails on both sides are roughly equal, creating a balanced shape, like a normal distribution.
- **Uniform**: This indicates that all values occur with approximately equal frequency. The distribution is flat, showing no clear peaks.
- **Skewed Left**: In this case, the tail on the left side is longer or fatter than the right side. Most data points are concentrated on the right.
If you can provide a description of the data distribution or some key characteristics of the graph, I would be happy to help you analyze which category best fits it!