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At a science museum, visitors can compete to see who has a faster reaction time. Competitors watch a red screen, and the moment they see it turn from red to green, they push a button. The machine records their reaction times and also asks competitors to report their gender.\newlineThe probability that a competitor reacted in over 0.70.7 seconds is 0.60.6, the probability that a competitor was female is 0.40.4, and the probability that a competitor reacted in over 0.70.7 seconds and was female is 0.30.3.\newlineWhat is the probability that a randomly chosen competitor reacted in over 0.70.7 seconds or was female?\newlineWrite your answer as a whole number, decimal, or simplified fraction.

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Q. At a science museum, visitors can compete to see who has a faster reaction time. Competitors watch a red screen, and the moment they see it turn from red to green, they push a button. The machine records their reaction times and also asks competitors to report their gender.\newlineThe probability that a competitor reacted in over 0.70.7 seconds is 0.60.6, the probability that a competitor was female is 0.40.4, and the probability that a competitor reacted in over 0.70.7 seconds and was female is 0.30.3.\newlineWhat is the probability that a randomly chosen competitor reacted in over 0.70.7 seconds or was female?\newlineWrite your answer as a whole number, decimal, or simplified fraction.
  1. Denoting the events: Let's denote the events as follows: \newlineA: The competitor reacted in over 0.70.7 seconds.\newlineB: The competitor was female.\newlineWe are given the following probabilities: \newlineP(A)=0.6P(A) = 0.6 \newlineP(B)=0.4P(B) = 0.4 \newlineP(A and B)=0.3P(A \text{ and } B) = 0.3 \newlineWe need to find the probability that a randomly chosen competitor reacted in over 0.70.7 seconds or was female, which is P(A or B)P(A \text{ or } B).
  2. Using the Addition Rule of Probability: We can use the Addition Rule of Probability to find P(A or B)P(A \text{ or } B). The formula is: \newlineP(A or B)=P(A)+P(B)P(A and B)P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B)
  3. Substituting the given values: Substituting the given values into the formula, we get: \newlineP(A or B)=0.6+0.40.3P(A \text{ or } B) = 0.6 + 0.4 - 0.3
  4. Performing the calculation: Now we perform the calculation: \newlineP(A or B)=1.00.3P(A \text{ or } B) = 1.0 - 0.3\newlineP(A or B)=0.7P(A \text{ or } B) = 0.7

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