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For most distributions, particularly those that are symmetric and unimodal, the mean, median, and mode tend to be closely aligned. Additionally, many distributions exhibit the property that a significant portion of their data falls within a few standard deviations of the mean, following the empirical rule. Lastly, distributions often have tails that extend infinitely in both directions, meaning they can theoretically accommodate extreme values.
What else can I help you with?
Do normal probability distributions have different arithmetic means and different standard deviations?
Yes. And that is true of most probability distributions.
True or false two normal distributions that have the same mean are centered at the same place regardless of the relationship between their standard deviation?
True. Two normal distributions that have the same mean are centered at the same point on the horizontal axis, regardless of their standard deviations. The standard deviation affects the spread or width of the distributions, but it does not change their center location. Therefore, even with different standard deviations, the distributions will overlap at the mean.
Does symmetrical distribution have multiple peaks?
It can have multiple peaks, but most symmetrical distributions do not.
Are all symmetric distributions normal distributions?
No. There are many other distributions, including discrete ones, that are symmetrical.
What is non normal distribution?
A distribution that is NOT normal. Most of the time, it refers to skewed distributions.
Do normal probability distributions have different arithmetic means and different standard deviations?
Yes. And that is true of most probability distributions.
True or false two normal distributions that have the same mean are centered at the same place regardless of the relationship between their standard deviation?
True. Two normal distributions that have the same mean are centered at the same point on the horizontal axis, regardless of their standard deviations. The standard deviation affects the spread or width of the distributions, but it does not change their center location. Therefore, even with different standard deviations, the distributions will overlap at the mean.
Is it true some normal probability distributions are positively skewed?
No. The Normal distribution is symmetric: skewness = 0.
what is an RMD calculator used for?
An RMD calculator will determine your required minimum distributions as the owner of a retirement account. You distributions will most likely include dividends.
Is Linux a free operating system?
Most Linux distributions are free
Which common GUI environments are available in most linux distributions?
gnome and kde
Does symmetrical distribution have multiple peaks?
It can have multiple peaks, but most symmetrical distributions do not.
Are all symmetric distributions normal distributions?
No. There are many other distributions, including discrete ones, that are symmetrical.
What when there in no mode?
Nothing. There are plenty of distributions that have no node (or several).Nothing. There are plenty of distributions that have no node (or several).Nothing. There are plenty of distributions that have no node (or several).Nothing. There are plenty of distributions that have no node (or several).
What is non normal distribution?
A distribution that is NOT normal. Most of the time, it refers to skewed distributions.
Are IRA distributions taxable?
It depends on the type of IRA you have. Distributions from a traditional IRA are taxable. Distributions from a Roth IRA are not taxable.
The binomial and Poisson distributions are examples of discrete probability distributions?
discrete & continuous
