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For a small city, the graph represents the daily deviation, in minutes, of a commuter’s travel time from the expected commute time for each day in a 100-day period. Data is grouped into disjoint classes of deviations: for each value of T marked on the horizontal axis, the class centered at T includes all observed deviations greater than or equal to (T−1) minutes but less than (T+1) minutes. The height of each bar represents the number of deviations in the corresponding class. A given day’s commute is said to be x minutes shorter than normal if it is x minutes less than the left endpoint of the class centered at 0, and x minutes longer than normal if it is x minutes greater than the right endpoint of the class centered at 0.
From each drop-down menu, select the option that creates the most accurate statement based on the information provided.
For a randomly selected day in this 100-day period, the probability that the commute time was at least 5 minutes longer than normal is , and the probability that the commute time was at least 1 minute longer than normal is .
For a small city, the graph represents the daily deviation, in minutes, of a commuter’s travel time from the expected commute time for each day in a 100-day period. Data is grouped into disjoint classes of deviations: for each value of T marked on the horizontal axis, the class centered at T includes all observed deviations greater than or equal to (T−1) minutes but less than (T+1) minutes. The height of each bar represents the number of deviations in the corresponding class. A given day’s commute is said to be x minutes shorter than normal if it is x minutes less than the left endpoint of the class centered at 0, and x minutes longer than normal if it is x minutes greater than the right endpoint of the class centered at 0.
From each drop-down menu, select the option that creates the most accurate statement based on the information provided.
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