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.
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.
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.
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.
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?
Frankie
9 hours agoKarl
6 days agoSalley
11 days agoJessenia
16 days agoJaney
21 days agoRossana
26 days agoLaura
1 month agoStephanie
1 month agoRodolfo
1 month agoRomana
2 months agoEna
2 months agoKent
2 months agoLauryn
2 months agoLeoma
2 months agoStacey
2 months agoTimmy
3 months agoTresa
3 months agoParis
3 months agoGwen
3 months ago