Consider a data distribution with a positive skewness and a high kurtosis. What does this scenario indicate about the distribution?
- It has a symmetrical distribution.
- It has evenly spread out values.
- It has many values clustered around the left tail with potential outliers.
- It has many values clustered around the right tail with potential outliers.
Positive skewness and high kurtosis imply that the data is heavily tailed to the right and the peak is sharp. Most of the data values are concentrated around the left tail, but there are potential outliers towards the more positive values.
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