• The number of trials/experiments/observations • Each observation is independent. is fixed. . Each observation has only one of two outcomes ("success" or "fail . The probability of a "success" (p) is the same for each trial/experim pply the Binomial Distribution to a scenario. the probability that the San Jose Sharks will win any given game is 0.365 82 wins out of 1,034 games played. An upcoming monthly schedule ca he conditions of a binomial distribution are met: • The number of upcoming games is 12 (fixed trials) • The outcome of one game doesn't affect other games (independer • Each game has a win/lose outcome (binary outcomes) = The probability of a "success" is the same for each trial. (p ive all answers accurate to at least 3 places after the decimal. nd the expected number of wins for the upcoming schedule
• The number of trials/experiments/observations • Each observation is independent. is fixed. . Each observation has only one of two outcomes ("success" or "fail . The probability of a "success" (p) is the same for each trial/experim pply the Binomial Distribution to a scenario. the probability that the San Jose Sharks will win any given game is 0.365 82 wins out of 1,034 games played. An upcoming monthly schedule ca he conditions of a binomial distribution are met: • The number of upcoming games is 12 (fixed trials) • The outcome of one game doesn't affect other games (independer • Each game has a win/lose outcome (binary outcomes) = The probability of a "success" is the same for each trial. (p ive all answers accurate to at least 3 places after the decimal. nd the expected number of wins for the upcoming schedule
Chapter8: Sequences, Series,and Probability
Section8.7: Probability
Problem 11ECP: A manufacturer has determined that a machine averages one faulty unit for every 500 it produces....
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Transcribed Image Text:This type of distribution may be used if the following conditions apply:
• The number of trials/experiments/observations
is fixed.
• Each observation is independent.
• Each observation has only one of two outcomes ("success" or "failure").
• The probability of a "success" (p) is the same for each trial/experiment/observation/outcome.
Apply the Binomial Distribution to a scenario.
The probability that the San Jose Sharks will win any given game is 0.3694 based on a 13-year win history of
382 wins out of 1,034 games played. An upcoming monthly schedule contains 12 games.
The conditions of a binomial distribution are met:
The number of upcoming games is 12 (fixed trials)
The outcome of one game doesn't affect other games (independent trials)
Each game has a win/lose outcome (binary outcomes)
• The probability of a "success" is the same for each trial. (p = 0.3694)
Give all answers accurate to at least 3 places after the decimal.
Find the expected number of wins for the upcoming schedule
Find the probability that the San Jose Sharks will win exactly six games in the upcoming schedule
Find the probability that the San Jose Sharks win at least five games in the upcoming schedule
Find the probability that the San Jose Sharks will win more than seven games in the upcoming schedule
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