7.8 billion/12 is how much per month: 7,800,000,000/12 = 650,000,000 candy per month.
To find out per person, divide the total amount of candies by the months in a year, then divide that amount to the population. 7,800,000,000/12 = 650,000,000 650,000,000/303,000,000 = 2.14 (Round down) = 2
Answers: Per month: 650,000,000 candies Per person: 2 candies
The expected number of sales of this store from this sample of 30 is 6.
Step-by-step explanation:
For each prospect, there are only two possible outcomes. Either there is a trade, or there is not. Prospects are independent of each other. So we use the binomial probability distribution to solve this question.
Binomial probability distribution
Probability of exactly x sucesses on n repeated trials, with p probability.
The expected value of the binomial distribution is:
A retail variety store that advertises extensively by mail circulars expects a sale with 20% probability.
This means that
Suppose 30 prospects are randomly selected from a city-wide mailing.
This means that
What is the expected number (mean) of sales of this store from this sample of 30?
The expected number of sales of this store from this sample of 30 is 6.
So, it would be a 71% chance to get 1 green out of the bag, but then you have to keep that green out, which then lowers the chances of getting another green out of the bag, then you have to combine the percentages, and then that is the final percentage.