Several different genes control height
There are many populations that would not likely have a normal distribution. Endangered species or unsocial animals would be such populations.
Height, weight, IQ,
A normal distribution can have any value for its mean and any positive value for its variance. A standard normal distribution has mean 0 and variance 1.
The height of adult males in your nearest town.
The normal distribution is a theory, which works in practice (with a large enough sample). E.g if you were to plot the height of everyone in the country, you should end up with a normal distribution. Hence it is not usually considered hypothetical, in the same way that, say, imaginary numbers are hypothetical.
Several different genes control height
several different genes control height (apex)
(Apex Learning) Several different genes control height.
(Apex Learning) Several different genes control height.
Height is controlled by multiple alleles.
The standard normal distribution is a normal distribution with mean 0 and variance 1.
There are many populations that would not likely have a normal distribution. Endangered species or unsocial animals would be such populations.
Height, weight, IQ,
A normal distribution can have any value for its mean and any positive value for its variance. A standard normal distribution has mean 0 and variance 1.
Normal distribution is the continuous probability distribution defined by the probability density function. While the binomial distribution is discrete.
Actually the normal distribution is the sub form of Gaussian distribution.Gaussian distribution have 2 parameters, mean and variance.When there is zero mean and unit variance the Gaussian distribution becomes normal other wise it is pronounced as Gaussian.Wrong! The standard normal distribution has mean 0 and variance 1, but a normal distribution is the same as the Gaussiand, and can have any mean and variance. Google stackexcange "what-is-the-difference-between-a-normal-and-a-gaussian-distribution"
The height of adult males in your nearest town.