Free Databricks Certified Data Analyst Associate Actual Exam Questions - Question 12 Discussion

Thinking about it, A talks about inferring properties, which is more inferential stats, so that's not it. C narrows to quantitative only, but descriptive stats also summarize categorical data, so B feels right here. B

Option B looks good here because descriptive statistics isn’t just about numbers like means or SDs—it also covers categorical summaries like frequencies or modes. C narrows it down too much by focusing only on quantitative descriptions. Also, D talks about quantitative variables but that’s more about data types, not descriptive statistics as a whole. A is really about inferential stats, so that’s out. So B fits better since it includes all categorical summary stats, which are definitely part of descriptive statistics.

It’s B. Descriptive stats definitely cover categorical data too, like with frequency tables and mode, which C misses by focusing only on quantitative summaries.

B imo, since descriptive statistics also deal with summarizing categorical data through counts and percentages, not just numbers. C feels too narrow by focusing only on quantitative summaries.

C, because descriptive stats focus on quantitative summaries like mean and SD.

B/C? I get why C makes sense since descriptive stats usually involve numbers and measures like mean or median. But B also mentions summarizing data categorically, which is part of descriptive stats when dealing with things like mode or frequency tables for categories. The question doesn’t say it has to be only numerical, so maybe B’s broader wording fits better? D is off-topic, and A is definitely about inferential stats. Just feels like B covers the full scope of descriptive stats while C is a bit more specific.

I'm pretty sure the answer is C since descriptive stats focus on summarizing data quantitatively, not just categorically.