Binomial distribution questions.

The questions are also found in the attached Word document, with the original formatting.

In exercise 15, it supposes that a procedure produces a binomial distribution with a repeated test n times. It uses a-1 table to calculate the probability of x successes, given probability p of success in a given test.
15- n=3, x=0, p =0.25
Use formulates of it of binomial probability. In exercises 21, it supposes that a procedure produces a binimial distribution to calculate the probability of x successes, given probability p of success in a single test.
21- n=5, x= 2, p= 0.25

Uses of computer results. In exercises 25 to 27, remitate to the screen of Minitab that appears down. The probabilities obtained when introducing the values of n = 6 and p = 0.167. In a test of the Lipitor drug, 16,7% of the subjects dealt with 10mg about atorvastatin had headache (according to data of Parke - Davis). In each case, it supposes that it is selected to 6 subjects at random, which they were dealed with 10 mgs atorvastatin, and calculates the indicated probability. Binomial with n = 6 and p= 0.167000

X p (x = x)
0.0 0.3341
1.0 0.4019
2.0 0.2014
3.0 0.0538
4.0 0.0081
5.0 0.0006
6.0 0.0000
25- Calculate the probability that at least five of the subjects have headache. He is infrequent that at least five of the six subjects have headache?
26- Calculate the probability that, at the most, two subjects have headache. He is infrequent that at the most two of six subjects have headache?
27- Calculate the probability that more of a subject it has headache. He is infrequent that more than one of six subjects has headache?
31- Acceptance sample, the company Medassist Pharmaceutical Company receives larges shipments aspirin tablets and uses the following acceptance sampling plan: to select at random and to prove 24 tablets, later to accept the complete group only if there is one or zero tablet that does not fulfill the required specifications. If a particular shipments of thousands aspirin tablets has in fact one rate of defects of 4%, what is the probability that the complete shipment is accepted?