PEAKEDNESS Meaning and
Definition
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Peakedness refers to the degree of sharpness or steepness of a point or peak on a curve or graph. It describes the shape or form of a peak or crest that is formed when data is plotted on a graph, particularly in statistical analysis.
In statistics and data analysis, peakedness is often referred to as kurtosis, which measures the extent to which a distribution differs from a normal bell curve. It quantifies the peakedness or flatness of a probability distribution. A distribution with positive kurtosis indicates a relatively sharp peak or a high degree of peakedness, meaning the data are concentrated around the mean with heavier tails. On the other hand, negative kurtosis implies a flatter peak with lighter tails, indicating a wider spread of data points.
Peakedness is also used in other contexts, such as describing the shape of physical features like mountains, hills, or even waves. A mountain with steep, pointed peaks can be described as having high peakedness, while a more gently sloping hill with a rounded top exhibits lower peakedness.
Overall, peakedness conveys the idea of the sharpness or steepness of a point or peak, whether in statistical distributions, graphical representations, or physical features. It helps characterize and differentiate various shapes, emphasizing the concentration or spread of data points.
Common Misspellings for PEAKEDNESS
- oeakedness
- leakedness
- -eakedness
- 0eakedness
- pwakedness
- psakedness
- pdakedness
- prakedness
- p4akedness
- p3akedness
- pezkedness
- peskedness
- pewkedness
- peqkedness
- peajedness
- peamedness
- pealedness
- peaoedness
- peaiedness
- peakwdness
