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If you randomly-select a runner who completed the 2018 Appalachian Trail Endurance Run, what is the likelihood that the runner finished the race in between 17 and 24 hours (inclusive)? Write your answer as a percentage in the text box below.

User FalcoB
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Final answer:

To calculate the likelihood that a runner finished the race in between 17 and 24 hours (inclusive), we need to know the total number of runners who completed the race and the number of runners who finished within that time range. Without this information, we cannot determine the exact likelihood. However, if we assume that all runners have an equal chance of finishing within that time range, we can calculate a rough estimate of the likelihood.

Step-by-step explanation:

To calculate the likelihood that a runner finished the race in between 17 and 24 hours (inclusive), we need to know the total number of runners who completed the race and the number of runners who finished within that time range. Without this information, we cannot determine the exact likelihood. However, if we assume that all runners have an equal chance of finishing within that time range, we can calculate a rough estimate of the likelihood.

Let's say there were 100 runners who completed the race. If we assume each runner has an equal chance, then the likelihood would be the number of runners who finished within that time range divided by the total number of runners. For example, if 50 runners finished within that time range, the likelihood would be 50%.

It's important to note that this is just an example and the actual likelihood would depend on the specific data for the 2018 Appalachian Trail Endurance Run.

User Erik Trautman
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