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At Downtown Dogs, 1010 of the last 1515 customers wanted mustard on their hot dogs. What is the experimental probability that the next customer will want mustard? Simplify your answer and write it as a fraction or whole number.\newlineP(mustard)=__P(\text{mustard}) = \_\_

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Q. At Downtown Dogs, 1010 of the last 1515 customers wanted mustard on their hot dogs. What is the experimental probability that the next customer will want mustard? Simplify your answer and write it as a fraction or whole number.\newlineP(mustard)=__P(\text{mustard}) = \_\_
  1. Calculate Experimental Probability: The experimental probability is calculated by dividing the number of times an event has occurred by the total number of trials. In this case, the event is a customer wanting mustard on their hot dog, and the trials are the last 1515 customers.
  2. Use Formula for Probability: To find the experimental probability, we use the formula P(event)=Number of times event occurredTotal number of trialsP(\text{event}) = \frac{\text{Number of times event occurred}}{\text{Total number of trials}}. Here, the event is "customer wanting mustard" which occurred 1010 times out of the last 1515 customers.
  3. Simplify Fraction: Plugging the numbers into the formula gives us P(mustard)=1015P(\text{mustard}) = \frac{10}{15}. This fraction can be simplified by dividing both the numerator and the denominator by their greatest common divisor, which is 55.
  4. Final Experimental Probability: After simplifying, we get P(mustard)=(105)/(155)=23P(\text{mustard}) = (\frac{10}{5}) / (\frac{15}{5}) = \frac{2}{3}. This is the experimental probability in its simplest form.

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