A box contains 10 items, of which 3 are defective and 7 are non-defective. Two items are randomly selected, one at a time, with replacement, and x is the number of defective items in the sample.

To look up the probability of a defective item being drawn from the box, using a binomial probability table, what would be the values of n, x and p to look up?

x=10

Two flower seeds are randomly selected from a package that contains 7 seeds for red flowers and 13 seeds for white flowers

(a) What is the probability that both seeds will result in red flowers?

(b) What is the probability that one of each color is selected?

(c) What is the probability that both seeds are for white flowers?

Excluding job benefit coverage, approximately 51% of adults have purchased life insurance. The likelihood that those aged 18 to 24 without life insurance will purchase life insurance in the next year is 13%, and for those aged 25 to 34, it is 27%.

Find the probability that a randomly selected adult has not purchased life insurance.
(b) What is the probability that an adult aged 18 to 24 will purchase life insurance within the next year?
(c) Find the probability that a randomly selected adult will be 25 to 34 years old, does not currently have life insurance, and will purchase it within the next year

This is rubbish

To look up the probability of a defective item being drawn from the box using a binomial probability table, we need to determine the values of n, x, and p.

In this case, n represents the total number of trials or items selected. Since two items are being selected, one at a time with replacement, n would be 2.

x represents the number of successful or desired outcomes. In this case, it represents the number of defective items selected. We want to find the probability of selecting a defective item, so x would be 1 (as there is one defective item).

p represents the probability of success on each trial. Since we want to find the probability of selecting a defective item, p would be the probability of selecting a defective item from the box.

To calculate p, we divide the number of defective items by the total number of items:
p = (number of defective items) / (total number of items)
p = 3 / 10 = 0.3

Therefore, the values we need to look up in the binomial probability table would be:
n = 2
x = 1
p = 0.3