Best Answer

Yes. Most do.

Q: Do some normal probability distributions have different arithmetic means and different standard deviations?

Write your answer...

Submit

Still have questions?

Continue Learning about Math & Arithmetic

Yes. And that is true of most probability distributions.

Assuming that "piossion" refers to Poisson, they are simply different probability distributions that are applicable in different situations.

It is a function which is usually used with continuous distributions, to give the probability associated with different values of the variable.

Yes. Normal (or Gaussian) distribution are parametric distributions and they are defined by two parameters: the mean and the variance (square of standard deviation). Each pair of these parameters gives rise to a different normal distribution. However, they can all be "re-parametrised" to the standard normal distribution using z-transformations. The standard normal distribution has mean 0 and variance 1.

The mean, median, and mode are all measures of central tendency. For symmetrical distributions they all have the same value. For assymetrical distributions they have different values. The mean is the average and the mode is the most likely value.

Related questions

Yes. And that is true of most probability distributions.

Assuming that "piossion" refers to Poisson, they are simply different probability distributions that are applicable in different situations.

It is a function which is usually used with continuous distributions, to give the probability associated with different values of the variable.

Yes. Normal (or Gaussian) distribution are parametric distributions and they are defined by two parameters: the mean and the variance (square of standard deviation). Each pair of these parameters gives rise to a different normal distribution. However, they can all be "re-parametrised" to the standard normal distribution using z-transformations. The standard normal distribution has mean 0 and variance 1.

The mean, median, and mode are all measures of central tendency. For symmetrical distributions they all have the same value. For assymetrical distributions they have different values. The mean is the average and the mode is the most likely value.

You cannot. There are hundreds of different distributions. The shapes of the distributions depend on their parameters so that the same distribution can be symmetric when the parameters have some specific value, but is highly skewed - in either direction - for other values.

Probability theory, a branch of mathematics, is commonly used to describe chance or uncertainty. It provides a framework and language to study and quantify the likelihood of different outcomes or events occurring in a random or uncertain situation. The language of probability theory includes concepts such as probability, random variables, events, and probability distributions.

There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.

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.

s= bracket n over sigma i (xi-x-)^2 all over n-1 closed bracket ^ 1/2

Arithmetic can be written as two different products of prime numbers. haha

its not different