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What makes a distribution Platykurtic?
The term “platykurtic” refers to a statistical distribution in which the excess kurtosis value is negative. For this reason, a platykurtic distribution will have thinner tails than a normal distribution will, resulting in fewer extreme positive or negative events.
What is the reason for bimodal distribution?
Often bimodal distributions occur because of some underlying phenomena. For example, the number of customers who visit a restaurant each hour follows a bimodal distribution since people tend to eat out during two distinct times: lunch and dinner. This underlying human behavior is what causes the bimodal distribution.
How do I identify Platykurtic?
Negative values of kurtosis indicate that a distribution is flat and has thin tails. Platykurtic distributions have negative kurtosis values. A platykurtic distribution is flatter (less peaked) when compared with the normal distribution, with fewer values in its shorter (i.e. lighter and thinner) tails.
How do you know if a distribution is bimodal?
A mixture of two normal distributions with equal standard deviations is bimodal only if their means differ by at least twice the common standard deviation. Estimates of the parameters is simplified if the variances can be assumed to be equal (the homoscedastic case).
Does mode have one distribution?
A distribution with a single mode is said to be unimodal. A distribution with more than one mode is said to be bimodal, trimodal, etc., or in general, multimodal.
What do you mean by bimodal distribution in statistics?
A bimodal distribution is a probability distribution with two modes. We often use the term “mode” in descriptive statistics to refer to the most commonly occurring value in a dataset, but in this case the term “mode” refers to a local maximum in a chart.
What is the kurtosis of a platykurtic distribution?
Therefore, distributions with kurtosis greater than three are said to have “positive excess kurtosis,” while those with kurtosis of less than three are said to have “negative excess kurtosis.” Though mesokurtic distributions have a kurtosis of three, leptokurtic and platykurtic distributions have positive and negative excess kurtosis, respectively.
When do you call a distribution a platykurtic?
Distributions are deemed platykurtic when the excess kurtosis value is negative, owing to the fact that the distribution has less outlier, or extreme value, character than does the normal distribution.
What does the term platykurtic mean in statistics?
Leptokurtic distributions are statistical distributions with occurrences plotted beyond three standard deviations. Platykurtosis is a statistical term that refers to the relative flatness of a probability distribution. Kurtosis is a statistical measure used to describe the distribution of observed data around the mean.