The mean of a sample is a single value and so its distribution is a single value with probability 1.
This is the answer.
No, not all distributions are symmetrical, and not all distributions have a single peak.
The Poisson distribution is characterised by a rate (over time or space) of an event occurring. In a binomial distribution the probability is that of a single event (outcome) occurring in a repeated set of trials.
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.
Variation in single celled organisms occurs only when there is a copying error (mutation). The main function of sex is to produce limited variation.
There are probably many probability distributions that have just one parameter. The most important one for statistical analysis is probably the Student t distribution.This probability distribution is fully described by a single parameter which is often called "degrees of freedom". The parameter describes the scale of the distribution, and not the location, since the Student t distribution is always centered at zero (unlike the normal distribution, which has a scale parameter, the variance, and a location parameter, the mean).Another example of a distribution that is described with a single parameter is the exponential distribution. Unlike the Student t distribution, it is a distribution that takes only positive values.
The mean of a sample is a single value and so its distribution is a single value with probability 1.
genetic variation originates from mutations on which evolution depends on.
Consider a binomial distribution with 10 trials What is the expected value of this distribution if the probability of success on a single trial is 0.5?
No. It is a single number. For a direct variation you need a minimum of two pairs of ordered numbers.
describe a single pulley system
The binomial distribution is defined by two parameters so there is not THE SINGLE parameter.
The Gaussian distribution is the single most important distribution.
VERTICAL DISTRIBUTION REFERS TO THE DISTRIBUTION OF THE DIFFERENT LAYERS IN A MULTITHREAD ARCHITECTURES ACCROSS MULTIPLE MACHINES.In princeiple, each layer is implemented on a different machine. horizontal machine deals with distribution of a single layer accross multiple machines such as distibuting a single database
A variation bonus is granted when you use two or more gadgets in a single combat.
Single nucleotide polymorphisms:SNP is a DNA sequence variation occurring when a single nucleotide - A, T, C or G - in the genome.