Step 1: Understanding the Concept:
Kurtosis measures the "peakedness" or flatness of a probability distribution curve relative to a normal distribution curve.
Step 2: Detailed Explanation:
- Mesokurtic: Having a kurtosis equal to that of a normal distribution (excess kurtosis = 0).
- Leptokurtic: Having a positive excess kurtosis (\(>0\)). The curve is more sharply peaked and has heavier tails than a normal distribution.
- Platykurtic: Having a negative excess kurtosis (\(<0\)). The curve is flatter with a broader peak.
Step 3: Final Answer:
A distribution with positive kurtosis larger than normal is Leptokurtic, which is option (B).