Weighted distribution is the percent of stores that a product is sold in, but weighted by the importance of the outlets, while share in stores handling is the market share of a brand/item just in the stores that stock it.
Chat with our AI personalities
numeric distribution is simply the number of items that have that thing divided by he total number of the sample, regardless of size or contribution.weighted distribution is the number of items that have that thing multiplied by the weight of that thing divided by the total number of the sample.example in salesif a group of 100 retailers is the sample, 70 of them are keeping a certain product and the other 30 do notthen the numeric distribution of the product in this group is 70%if all retailers have the same contribution to the sales to consumers, then the weighted distribution is 70% toobut if those 30 retailers (who do not keep have the product) contribution to the sales to consumers is 60%, then the weighted distribution of the 70 retailers having that product is only 40%
you can figure it out by going to google and googling it
The standard normal distribution is a normal distribution with mean 0 and variance 1.
A simple continuous distribution can take any value between two other values whereas a discrete distribution cannot.
Population distribution refers to the patterns that a population creates as they spread within an area. A sampling distribution is a representative, random sample of that population.