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Databricks Certified Data Analyst Associate Exam - Topic 5 Question 43 Discussion

Posted by Justine on Nov 21, 2025 at 09:14 PM

What describes the variance of a set of values?

Suggested Answer: D

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29 comments · newest first
LY
Lynelle 6 months ago
D is clear and accurate. Variance is all about spread!
OR
Oren 6 months ago
B doesn't cover the whole picture. It's too narrow.
GR
Gregoria 6 months ago
C is definitely wrong. Variance isn't about central tendency.
LA
Lavelle 7 months ago
A is misleading. It focuses too much on a single value.
VE
Venita 7 months ago
Agreed! D explains the spread well.
SC
Scarlet 7 months ago
I think D is the best choice. It really captures variance.
FR
Frankie 8 months ago
I thought variance was related to max/min values, not the mean!
KA
Karl 8 months ago
Nope, it's about the whole set's spread, not just one value.
SA
Salley 8 months ago
Wait, isn't variance just about individual values?
JE
Jessenia 8 months ago
Totally agree, it's all about the dispersion!
JA
Janey 8 months ago
Variance shows how spread out values are from the mean.
RO
Rossana 8 months ago
Variance, the statistical equivalent of a toddler throwing a tantrum. Gotta love it!
LA
Laura 9 months ago
Option D is the way to go. Variance is the measure of how much the values deviate from the mean. Simple as that.
ST
Stephanie 9 months ago
Variance is like the black sheep of the statistical family - it's the one that's always causing a ruckus and making the others look bad.
RO
Rodolfo 9 months ago
Variance is all about the spread of the data, not the central tendency. Option D makes the most sense.
RO
Romana 9 months ago
I thought variance was about the average of squared differences, but I can't recall if that means it's just about the central value or the spread overall.
EN
Ena 9 months ago
I remember practicing a question that asked about the difference between variance and standard deviation. I think variance relates to how values differ from the mean.
KE
Kent 9 months ago
The key here is that variance quantifies the degree of variability in the dataset. A higher variance means the values are more spread out, while a lower variance indicates they are clustered closer to the mean. I'm pretty confident D is the right answer.
LA
Lauryn 10 months ago
I think variance is about how spread out the values are, but I'm not sure if it's just from the mean or something else.
LE
Leoma 10 months ago
Okay, I remember learning that variance is calculated by taking the average of the squared differences between each value and the mean. So it's definitely a measure of how dispersed the values are, not just how far a single value is from the extremes.
ST
Stacey 10 months ago
The variance measures how far the values are from the mean, not the max or min. Option D is the correct answer.
TI
Timmy 10 months ago
I feel like option D sounds right, but I’m a bit confused about the wording. Isn’t variance also related to how far individual values are from the mean?
TR
Tresa 11 months ago
Hmm, I'm a bit confused. Is variance just about how far a single value is from the max or min? Or is it about the overall spread of the values?
PA
Paris 11 months ago
I think the answer is D. Variance measures how spread out the values are from the central value or mean.
GL
Glory 5 months ago
↳ replying to Paris
Exactly! It’s all about the distance from the mean.
LY
Lynsey 6 months ago
↳ replying to Paris
Definitely! Variance is all about that dispersion.
SY
Sylvia 6 months ago
↳ replying to Paris
Yeah, it really shows how values are spread out.
WH
Whitney 6 months ago
↳ replying to Paris
I agree, D makes the most sense.
GW
Gwen 10 months ago
↳ replying to Paris
I think D captures the essence of variance perfectly.
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