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A "bell" shape.

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Q: What describes the shape of a distribution which is approximately normal?
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What shape describes a poisson distribution?

A skewed bell shape.


The shape of the sampling distribution is always approximately normal?

welll its quiet simple to be honest 1st ASK YOUR TEACHER! that's what they are there for


Which shape describes a Poisson distribution?

symmetrical


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 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 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.


Is normal distribution symmetric with a single peak?

the normal distribution are a very important class of statistical distributions.all normal distributions are symmetric and have bell- shaped density curves with a single peak.both the normal and symmetrical distributions are u-shape and equal from both sides. the normal distribution is considered the most prominent probability distribution in statistics.There are several reasons for this first, the normal distribution is very tractable analytically. that is a large number of results involving this distribution can be derived in explicit from.Second, the normal distribution arises as the outcome of the central limit theorem, which states that under mild conditions the large number of variables is distributed approximately normally.finally, the "bell" shape of the normal distribution marks it is a convenient choice for modeling a large variety of random variables encountered in practices.


What is the characteristic of a normal distribution?

The Normal (or Gaussian) distribution is a symmetrical probability function whose shape is determined by two values: the mean and variance (or standard deviation).According to the law of large numbers, if you take repeated independent samples from any distribution, the means of those samples are distributed approximately normally. The greater the size of each sample, or the greater the number of samples, the more closely the results will match the normal distribution. This characteristic makes the Normal distribution central to statistical theory.


What requirements are necessary for a normal probability distribution to be a standard normal probability distribution?

The normal distribution, also known as the Gaussian distribution, has a familiar "bell curve" shape and approximates many different naturally occurring distributions over real numbers.


Name the 3D shape that describes a basketball?

cylinder * * * * * It is approximately a sphere.


What is the shape of a normal distribution?

It is a symmetrical, "bell-shaped" curve. The tails are infinitely long.