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What else can I help you with?
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.
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.
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 any uniform probability distribution is?
Rectangular
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.
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.
