A fast food outlet knows that 55% of its customers purchase fries. If the store had 1200 customers in a day, then the number who bought fries was
660 customers bought fries.
To determine the number of customers who purchased fries, we calculate 55% of 1200, which results in 660. This straightforward multiplication shows that 660 customers chose to buy fries during that day.
This choice accurately reflects the calculation of 55% of 1200 customers. When we multiply 1200 by 0.55, we get 660, confirming that this is the correct answer.
This option represents a miscalculation of the percentage. If we assume 640 customers purchased fries, that would imply a percentage lower than 55%, specifically around 53.33%, which does not align with the given data.
Choosing 620 customers implies an even lower percentage of approximately 51.67%. This does not meet the original statistic of 55%, indicating a significant underestimation of the customers who bought fries.
This option represents an even greater deviation from the required percentage. If only 540 customers bought fries, it would suggest a mere 45%, which is substantially below the stated 55%, thus invalidating this choice.
The calculation clearly indicates that 660 out of 1200 customers purchased fries, aligning perfectly with the 55% statistic provided by the outlet. Each incorrect option reflects a misunderstanding of the percentage calculation, demonstrating the importance of precise arithmetic in analyzing customer behavior in a fast food context.
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