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Can a normal distribution curve be symmetric or left-skewed or right-skewed?
Wiki User
∙ 14y ago
Symmetric
Wiki User
∙ 14y ago
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How would you describe the shape of a normal curve?
Bell-shaped, unimodal, symmetric
What four shapes have formulas which include the symbol pi?
A circle,An ellipse, A sphere,A normal (Gaussian) distribution.A circle,An ellipse, A sphere,A normal (Gaussian) distribution.A circle,An ellipse, A sphere,A normal (Gaussian) distribution.A circle,An ellipse, A sphere,A normal (Gaussian) distribution.
What is the between skewness and kurtosis?
While skewness is the measure of symmetry, or if one would like to be more precise, the lack of symmetry, kurtosis is a measure of data that is either peaked or flat relative to a normal distribution of a data set. * Skewness: A distribution is symmetric if both the left and right sides are the same relative to the center point. * Kurtosis: A data set that tends to have a distant peak near the mean value, have heavy tails, or decline rapidly is a measure of high kurtosis. Data sets with low Kurtosis would obviously be opposite with a flat mean at the top, and a distribution that is uniform.
What is the difference between normal and perpendicular?
in 2 and 3 dimensions they turn out to be pretty much the same, but what would perpendicular mean in 4 or 6 dimensions? For example a line perpendicular to another intersects it and creates a 90 degree angle, it is also normal and a line can be normal to a plane also. Normal is a more general term that can be used in higher dimensions and other setting where perpendicular might make no sense. For example, if you know what a dot product is that two vectors are normal if their dot product is zero, These may be n dimensional vectors and perpendicular would make no sense. In many more abstract settings normal works but perpendicular would have no meaning at all. There are more technical explanations but I hope to make this answer more intuitive! There is a very slight difference between NORMAL and PERPENDICULAR. Well NORMAL is that perpendicular which is drawn at the contact point between two meeting lines. Its simple as this. For example in case of tangents (which is drawn to find the direction of a point in a curve) the perpendicular draw at the meeting point of the tangent and the curve is called normal. Its like, every normal is a perpendicular but all perpendiculars are not normal. I hope this clears all your doubt.
What is symmetry in geometry?
the same as normal symmetry
What is symmetrical normal distribution?
The Normal distribution is, by definition, symmetric. There is no other kind of Normal distribution, so the adjective is not used.
Does this means that all symmetric distribution are normal Explain?
Don't know what "this" is, but all symmetric distributions are not normal. There are many distributions, discrete and continuous that are not normal. The uniform or binomial distributions are examples of discrete symmetric distibutions that are not normal. The uniform and the beta distribution with equal parameters are examples of a continuous distribution that is not normal. The uniform distribution can be discrete or continuous.
Does this means that all symmetric distribution are normal?
24
Normal distribution is symmetric about mean or median or mode?
Mean
How the symmetric distribution is always normal?
The statement is false. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.
Is symmetrical a characteristic of a normal distribution?
The Normal ditribution is symmetric but so are other distributions.
Are all symmetric distribution are normal?
No. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.
What type of probability distribution is the normal distribution?
It is a continuous parametric distribution belonging to the family of exponential distributions. It is also symmetric.
What is the important similarity between the uniform and normal probability distribution?
They are both continuous, symmetric distribution functions.
Is a normal distribution always symmetrical?
yes, it's always symmetric
List of common symmetric distributions?
A small partial list includes: -normal (or Gaussian) distribution -binomial distribution -Cauchy distribution
Is it true some normal probability distributions are positively skewed?
No. The Normal distribution is symmetric: skewness = 0.
