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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.)

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.8: Probabilities Of Disjoint And Overlapping Events
Problem 2C
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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.)
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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