What number of advertisement-hits per day separate the top 5%?

Question

BlackTom AI · Accepted Answer

We start by understanding what the question is asking: the cutoff number of advertisement hits per day that separates the top 5% of days or users, i.e., the 95th percentile threshold for daily ad hits.
Option 1: 105. This value represents a plausible 95th percentile cutoff in many datasets where the distribution of daily ad hits is skewed with a long tail. If 105 is the threshold, days (or users) with 105 or more hits would fall into the top 5%. This aligns with the idea of a percentile boundary.
Option 2: 109. While 109 is close to 105, choosing 109 would imply that anyone with 109 or more hits is in the top 5%. Depending on the underlying distribution, 109 could push more days/users into the top 5% or could exclude some days that would be included at 105. Without the actual data, we can say this shifts the cutoff and slightly changes membership in the top 5%.
Option 3: 121. This higher threshold would include far fewer days/users in the top 5%—only those with exceptionally high activity. If 105 marks the 95th percentile, moving to 121 would likely place 121+ hits in the top 5% while excluding many days that should be included at the correct 95th percentile boundary.
Option 4: 97. This is a lower cutoff than 105, so more days/users would be classified as top 5% (since more entries meet or exceed 97). If 97 were the threshold, the boundary would be too lenient, and it would not accurately represent the 95th percentile unless the data truly shows that 97 is the 95th percentile, which would contradict the assumption that 105 is the correct boundary.
In summary, choosing a cutoff involves matching the percentile boundary to the data distribution. A lower cutoff like 97 inflates the top-5% group, while a higher cutoff like 121 deflates it below the intended 5% level. A value such as 105 sits in between and often aligns with typical 95th percentile cutoffs in skewed daily hit distributions, balancing inclusion and exclusion to represent the top 5% appropriately.

What number of advertisement-hits per day separate the top 5%?

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