This is a boxplot, which provides a visual summary of a dataset. The boxplot shows the distribution of data, including its median, quartiles, and potential skewness. Here's how we analyze it:

1. The skewness of a dataset can be assessed by comparing the lengths of the whiskers and the positioning of the box:

   • If the right whisker is longer than the left whisker, and the median is closer to the lower quartile, the data is right-skewed.
   • If the left whisker is longer, and the median is closer to the upper quartile, the data is left-skewed.
   • If the whiskers and box are approximately symmetric, the data has no skew.

2. In this case:

   • The right whisker (towards 800) is significantly longer than the left whisker.
   • The median is closer to the lower quartile (left side of the box).

Conclusion:

The data is right-skewed. The correct answer is c. Right skew.

Would you like a detailed breakdown of how to calculate skewness or any other details?

Follow-up Questions:

1. What are the key components of a boxplot, and what do they represent?
2. How do you calculate skewness mathematically from raw data?
3. Why is right-skewed data important in statistics?
4. Can outliers affect the skewness of a dataset? How?
5. How does a boxplot compare to other visualizations like histograms?

Tip:

Always check the boxplot's whisker lengths and median positioning to determine skewness quickly.