According to flightstats.com, American Airlines flights from Dallas to Chicago are on time 80% of the time. Suppose 25 flights are randomly selected, and the number of on-time flights is recorded. (a) Explain why this is a binomial experiment. (b) Determine the values of n and p. (c) Find and interpret the probability that exactly 15 flights are on time. (d) Find and interpret the probability that fewer than 15 flights are on time. (e) Find and interpret the probability that at least 15 flights are on time. (f) Find and interpret the probability that between 13 and 15 flights, inclusive, are on time. In 100 trials of this experiment, it is expected that about 1 will result in exactly 15 flights being on time. (Round to the nearest whole number as needed.) (d) Using the binomial distribution, the probability that fewer than 15 flights are on time is (Round to four decimal places as needed.) Interpret the probability. In 100 trials of this experiment, it is expected that about will result in fewer than 15 flights being on time. (Round to the nearest whole number as needed.) (e) Using the binomial distribution, the probability that at least 15 flights are on time is (Round to four decimal places as needed.) Interpret the probability. In 100 trials of this experiment, it is expected that about will result in at least 15 flights being on time. (Round to the nearest whole number as needed.) (f) Using the binomial distribution, the probability that between 13 and 15 flights, inclusive, are on time is (Round to four decimal places as needed.) Interpret the probability. In 100 trials of this experiment, it is expected that about will result in between 13 and 15 flights, inclusive, being on time. (Round to the nearest whole number as needed.)
According to flightstats.com, American Airlines flights from Dallas to Chicago are on time 80% of the time. Suppose 25 flights are randomly selected, and the number of on-time flights is recorded. (a) Explain why this is a binomial experiment. (b) Determine the values of n and p. (c) Find and interpret the probability that exactly 15 flights are on time. (d) Find and interpret the probability that fewer than 15 flights are on time. (e) Find and interpret the probability that at least 15 flights are on time. (f) Find and interpret the probability that between 13 and 15 flights, inclusive, are on time. In 100 trials of this experiment, it is expected that about 1 will result in exactly 15 flights being on time. (Round to the nearest whole number as needed.) (d) Using the binomial distribution, the probability that fewer than 15 flights are on time is (Round to four decimal places as needed.) Interpret the probability. In 100 trials of this experiment, it is expected that about will result in fewer than 15 flights being on time. (Round to the nearest whole number as needed.) (e) Using the binomial distribution, the probability that at least 15 flights are on time is (Round to four decimal places as needed.) Interpret the probability. In 100 trials of this experiment, it is expected that about will result in at least 15 flights being on time. (Round to the nearest whole number as needed.) (f) Using the binomial distribution, the probability that between 13 and 15 flights, inclusive, are on time is (Round to four decimal places as needed.) Interpret the probability. In 100 trials of this experiment, it is expected that about will result in between 13 and 15 flights, inclusive, being on time. (Round to the nearest whole number as needed.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:According to flightstats.com, American Airlines flights from Dallas to Chicago are on time 80% of the time. Suppose 25 flights are randomly selected, and the number of on-time flights is recorded.
(a) Explain why this is a binomial experiment.
(b) Determine the values of n and p.
(c) Find and interpret the probability that exactly 15 flights are on time.
(d) Find and interpret the probability that fewer than 15 flights are on time.
(e) Find and interpret the probability that at least 15 flights are on time.
(f) Find and interpret the probability that between 13 and 15 flights, inclusive, are on time.
In 100 trials of this experiment, it is expected that about 1 will result in exactly 15 flights being on time.
(Round to the nearest whole number as needed.)
(d) Using the binomial distribution, the probability that fewer than 15 flights are on time is .
(Round to four decimal places as needed.)
Interpret the probability.
In 100 trials of this experiment, it is expected that about
will result in fewer than 15 flights being on time.
(Round to the nearest whole number as needed.)
(e) Using the binomial distribution, the probability that at least 15 flights are on time is
(Round to four decimal places as needed.)
Interpret the probability.
In 100 trials of this experiment, it is expected that about
will result in at least 15 flights being on time.
(Round to the nearest whole number as needed.)
(f) Using the binomial distribution, the probability that between 13 and 15 flights, inclusive, are on time is
(Round to four decimal places as needed.)
Interpret the probability.
In 100 trials of this experiment, it is expected that about
will result in between 13 and 15 flights, inclusive, being on time.
(Round to the nearest whole number as needed.)
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