KunalSawant08 wrote:
Why is the answer not mode?
Hi, I hope you are fine.
The answer is not the mode because we don't have precise age data for each individual within the subgroups. Let’s consider two age groups that are so close in distribution: "45-54" and "55-64."
For example let's consider that for the group aged 45-54, we have 250 subscribers, divided equally among the ages 46 to 50 years:
- 50 subscribers aged 46 years
- 50 subscribers aged 47 years
- 50 subscribers aged 48 years
- 50 subscribers aged 49 years
- 50 subscribers aged 50 years
For the group aged 55-64, we also have 200 subscribers, but the distribution is heavily skewed towards one age:
- 150 subscribers aged 57 years
- 50 subscribers aged 58 years
In this scenario, the mode is clearly 57 years, predominantly from the 55-64 age group. This illustrates why knowing the distribution within each age bracket is crucial. Without this, we might inaccurately assess the most common age. Each group represents an age range, and the exact number of individuals at each age within these ranges significantly influences the mode calculation.
Thus, it’s important to consider the internal age distribution within each group to accurately determine the mode. This example shows that the mode falls within the 55-64 age group, not the 45-54 group, highlighting the need for detailed demographic data in such analyses.