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What shape describes a poisson distribution?
A skewed bell shape.
How does the shape of the normal distribution differ from the shapes of the uniform and exponential distributions?
the normal distribution is a bell shape and expeonential is rectangular
The shape of the F distribution is?
skewed right.
Which shape describes a Poisson distribution?
symmetrical
The shape of any uniform probability distribution is?
Rectangular
What shape describes a poisson distribution?
A skewed bell shape.
What describes the shape of a distribution which is approximately normal?
A "bell" shape.
How does the shape of the normal distribution differ from the shapes of the uniform and exponential distributions?
the normal distribution is a bell shape and expeonential is rectangular
What is the expected shape of the distribution of the sample mean?
The distribution of the sample mean is bell-shaped or is a normal distribution.
What is the shape of a z-score distribution?
The standard normal distribution or the Gaussian distribution with mean 0 and variance 1.
A distribution with a shape that is symmetrical around the mean with a bell shape is described as?
The distribution described is a normal distribution. It is characterized by a symmetric bell-shaped curve where the mean, median, and mode are all equal and located at the center of the distribution.
The shape of the F distribution is?
skewed right.
Which shape describes a Poisson distribution?
symmetrical
What is the shape of each distribution in a data set?
The distributions can have any shape that you like.
The shape of any uniform probability distribution is?
Rectangular
What is difference between skew binomial and symmetric binomial distribution?
In a symmetric binomial distribution, the probabilities of success and failure are equal, resulting in a symmetric shape of the distribution. In a skewed binomial distribution, the probabilities of success and failure are not equal, leading to an asymmetric shape where the distribution is stretched towards one side.
What does a negative kurtosis mean?
It means distribution is flater then [than] a normal distribution and if kurtosis is positive[,] then it means that distribution is sharper then [than] a normal distribution. Normal (bell shape) distribution has zero kurtosis.
