A bike-share operator logs the duration, in minutes, of 24 rides:
The durations are grouped into five bins of width 5. Use the convention from this course: every bin is left-inclusive and right-exclusive, written , except the final bin, which includes both of its endpoints so that the maximum value is counted.
What percentage of the 24 rides fall in the bin ?
Give your answer as a percentage rounded to 2 decimal places, and do not type the % sign.
Once you get it right, the reasoning behind the answer shows up here.
Visualize binning frequency, check distribution shapes, and inspect skewness effects on center measures.
We group values using [left-inclusive, right-exclusive) intervals. For example, in the Medium setting, a value of exactly 8 belongs to interval [8, 12) and is not counted in [4, 8). The final interval [20, 24] includes both endpoints to capture the maximum value.
Notice how changing the bin setting from Few to More changes the visual resolution of the dataset, revealing local clusters or smoothing them out, while the underlying observations remain identical.