What does a negative kurtosis indicate about the distribution of the dataset?
- The distribution has a perfect bell shape
- The distribution is less outlier-prone than a normal distribution
- The distribution is more outlier-prone than a normal distribution
- The distribution is skewed
A negative kurtosis value indicates that the distribution has lighter tails and a flatter peak than the normal distribution. It means there are fewer outliers (extreme values), thus it is less outlier-prone than a normal distribution.
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