the answer is largest!!!!!!!
The mean of a distribution of scores is the average.
The standard deviation of a distribution is the average spread from the mean (average). If I told you I had a distribution of data with average 10000 and standard deviation 10, you'd know that most of the data is close to the middle. If I told you I had a distrubtion of data with average 10000 and standard deviation 3000, you'd know that the data in this distribution is much more spread out. dhaussling@gmail.com
Median is a positional average that gives the value located in the centre of the given statistical distribution.
Variance
Poisson and Binomial both the distribution are used for defining discrete events.You can tell that Poisson distribution is a subset of Binomial distribution. Binomial is the most preliminary distribution to encounter probability and statistical problems. On the other hand when any event occurs with a fixed time interval and having a fixed average rate then it is Poisson distribution.
A bell curve indicates the distribution of a trait or variable in a population, where most individuals fall near the average (peak of the curve) and fewer individuals are at the extreme ends (tails) of the distribution. It shows that the majority of individuals possess the trait in a typical or average level.
a bell-shaped curve known as a normal distribution. This distribution shows the range of phenotypes in a population, with most individuals clustering around the average phenotype and fewer individuals at the extremes of the distribution.
The distribution will center towards hetrotrophs and thus dominant phenotypes. The distribution approaches all dominant phenotypes
The characteristic of an element that represents the average mass of its isotopes is called the atomic mass. Atomic mass takes into account the abundance of each isotope of the element and is typically listed on the periodic table as a weighted average.
The mean of a distribution of scores is the average.
Mean means Average of a particular distribution Mean means Average of a particular distribution
The significance of the mean of a probability distribution is that it is the most probably thing to happen. The mean is the average of a set of values. If it is the average of a probability distribution, it is the most probable part.
The expected value is the average of a probability distribution. It is the value that can be expected to occur on the average, in the long run.
Because, whatever the underlying distribution, as more and more samples are taken from ANY population, the average of those samples will have a standard normal distribution whose mean will be their average. The normal (or Gaussian) distribution is symmetric and so its mean lies at the centre of the probability distribution.
1,123,846,763,559
The Poisson distribution. The Poisson distribution. The Poisson distribution. The Poisson distribution.
characteristic of demand