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At City Burger, 44 of the last 88 customers wanted cheese on their burgers. What is the experimental probability that the next customer will want cheese on his or her burger? Simplify your answer and write it as a fraction or whole number.\newlineP(cheese)=__P(\text{cheese}) = \_\_

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Q. At City Burger, 44 of the last 88 customers wanted cheese on their burgers. What is the experimental probability that the next customer will want cheese on his or her burger? Simplify your answer and write it as a fraction or whole number.\newlineP(cheese)=__P(\text{cheese}) = \_\_
  1. Identify Data: Identify the total number of trials and the number of successful outcomes. In this case, the total number of customers observed is 88, and the number of customers who wanted cheese on their burgers is 44.
  2. Calculate Probability: Calculate the experimental probability of a customer wanting cheese on their burger. The experimental probability is the ratio of the number of successful outcomes to the total number of trials.\newlineP(cheese) = Number of customers who wanted cheese / Total number of customers\newlineP(cheese) = 48\frac{4}{8}
  3. Simplify Fraction: Simplify the fraction obtained in Step 22 to find the simplest form of the experimental probability. P(cheese)=48=12P(\text{cheese}) = \frac{4}{8} = \frac{1}{2}

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