when you multiply it by 2, then you get the wrong answer then you just go play black ops 2
Not sure about only two requirements. I would say all of the following:there is a finite (or countably infinite) number of mutually exclusive outcomes possible,the probability of each outcome is a number between 0 and 1,the sum of the probabilities over all possible outcomes is 1.The Poisson distribution, for example, is countably infinite.
Not quite. The listing must also be exhaustive: it must contain all possible outcomes.For the roll of a fair cubic die, consider the following:Prob(1) = 1/6Prob(2) = 1/6This is a mutually exclusive listing of the outcomes of the experiment and the corresponding probabilities of occurrence but it is not a probability distribution because it does not include all possible outcomes. As a result, the total of the listed probabilities is less than 1.
The Student's T- Distribution is a type of probability distribution that is theoretical and resembles a normal distribution. The Student T- Distribution differs from the normal distribution by its degrees of freedom.
le standard normal distribution is a normal distribution who has mean 0 and variance 1
What is exclusive distribution and will you recommend exclusive distribution for FMCGs?
The advantage of having exclusive distribution with your fmcg product is that you will have focus on your products and no other priorities getting in the way of you selling more. The disadvantage is that it will cost you more and may end up as a fixed cost which you can not manage if the turnover goes down. If you can afford exclusive - go for it
three types of distribution exclusive selective intensive
intensive distribution, exclusive distribution, and selective distribution.
Paramount
intensive
intensive, exclusive and selective
it's selective by corners in stores such as bergdorf, and exclusive in the official retail stores!
One advantage of using normal distribution is that there are less errors. A disadvantage of normal distribution is that it can not be interpreted to terms of probabilities.
One advantage of using normal distribution is that there are less errors. A disadvantage of normal distribution is that it can not be interpreted to terms of probabilities.
image
Which types of retail outlets are best suited to intensive distribution? To selective distribution? To exclusive distribution? Explain your answer in each case.