A study about commuting time for workers in a certain city. The distribution is clustered on the left with most of the values le
ss than about 40 minutes commute. There are a fairly large number of values that are much higher, even stretching out to 150 minutes. There is a 15% chance that a random worker has a commute time of greater than 45 minutes. If you were to sketch this distribution, what would it look like, how would you describe it, and how do you represent the 15% probability?
Its laborer's journey through time was concentrated mostly on left as well as the amounts are mostly less than 4 min. There are quite a lot of significantly higher levels, even stretching to 150 min. A hypothetical worker is 15% likely to get a time difference longer than 45 min.
They learn from such data that perhaps the distribution of data takes a very long time. Thus the distribution will look like an's progressive.
Its probability is positive. Therefore some severe finding beyond the regular standards is included. The mean of findings is also higher than the mean.
Its problem would be that 15% of people are more likely to have been traveling more than 45 min in a specific worker.
Subsequently, the 85th level of the data is 45 minutes, meaning whether 85% of observations are decreased or equivalent to 45 minutes or 15% more than 45 minutes.
