Q: 8
A brand that has traditionally focused on TV campaigns has recently started advertising on digital
channels like Facebook and YouTube. The brand manager has advised the company to invest in
developing mobile-optimized creative and that its TV ads are too long to perform well online.
A post-campaign analysis was run to assess the relationship between complete video views and
video duration in order to make the case that videos with shorter duration tend to achieve a greater
number of complete views.
This scatter plot demonstrates the findings of the analysis.
How many of these data points are likely to skew the findings of this analysis?
How many of these data points are likely to skew the findings of this analysis?Options
Discussion
Option B
Maybe D. Had something like this in a mock, and it was 3 points skewing the results.
Likely it might be C, those moderate outliers could still mess with the trend a bit.
I’d say D
Definitely one for the official blueprint guide or sample exam. D
Not sure if it's D or C, honestly. Depends how strict they're being about what counts as really skewing the analysis vs just being slightly outside the cluster.
I don't think it's C. D makes more sense because only three points are true outliers that would seriously skew the results, not just distant from cluster. Some in-between points might look odd but don't really affect the trend much.
I see why most pick D but I actually think it's C here. If you count the points that are away from the main cluster and could pull the trend line, four seem pretty far off. Maybe I'm reading the scatter wrong though, open to other views.
D
Be respectful. No spam.
