Applying statistical analysis methods to I&T risk scenarios is MOST appropriate when:
Suggested Answer: A
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Statistical analysis requires quantifiable historical data to be meaningful. These methods rely on past data to project future probabilities and potential impacts. Therefore, statistical analysis is most appropriate when such data is available.
Familiarity with qualitative methods (B) is irrelevant to whether statistical analysis is appropriate. Senior management's mathematical knowledge (C) is also not the determining factor.
12 comments · newest first
YE
Yen
3 months ago
B seems relevant too. If they don’t know qualitative methods, stats help fill the gap.
JE
Jesusa
3 months ago
I agree, A is solid. Without data, it’s just guesswork.
NU
Nu
3 months ago
I think A is the best choice. Historical data makes analysis reliable.
RO
Rodolfo
3 months ago
Not sure about B), seems like a weak reason to apply stats.
BA
Barb
3 months ago
A) is the best answer, can't analyze without data!
BE
Bettina
4 months ago
Surprised that C) is even an option, not everyone in management is a math whiz!
HU
Hubert
5 months ago
I disagree, B) makes more sense if they don't know qualitative methods.
SO
Socorro
5 months ago
A) is definitely the right choice!
RU
Rueben
6 months ago
I feel like option C could be relevant, but I don't recall any examples where advanced math knowledge was a requirement for applying statistical analysis.
IS
Isreal
6 months ago
Option B seems a bit off to me; I thought statistical methods are used regardless of familiarity with qualitative methods.
MA
Martina
6 months ago
I'm not entirely sure, but I remember a practice question that emphasized the importance of historical data in risk assessment.
MA
Malcolm
6 months ago
I think option A makes the most sense since statistical analysis relies on having quantifiable data to work with.