An airport claims that 80% of their flights are on time. What is the probability from a daily sample of 30 flights that 25 or more flights will be on time?

35%

57%

43%

27%

In a course, based on historical data 15% of the students fail. What is the best estimate for the standard deviation for number of students failing in the next semester if 35 students will be taking the class?

3.25

1.25

4.46

2.1

If a Binomial distribution has a mean of 32 and a standard deviation of 3, what is the value for p?

0.72

0.36

0.18

0.08