Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

GAQM Exam CLSSBB-001 Topic 9 Question 18 Discussion

Actual exam question for GAQM's CLSSBB-001 exam
Question #: 18
Topic #: 9
[All CLSSBB-001 Questions]

Measurement __________ is defined as the difference between the observed and the expected values for a given set of data.

Show Suggested Answer Hide Answer
Suggested Answer: C

Contribute your Thoughts:

My
30 days ago
Is it just me, or does this question make anyone else hungry for some delicious bias-free measurements? Maybe I'll bake a linearity cake later.
upvoted 0 times
Almeta
5 days ago
C) Range
upvoted 0 times
...
Lizette
10 days ago
B) Linearity
upvoted 0 times
...
Iluminada
13 days ago
A) Bias
upvoted 0 times
...
...
Benedict
1 months ago
Aha, got it! It's A) Bias. Measurement bias, the bane of every researcher's existence. Can't fool me with this one!
upvoted 0 times
Jessenia
2 days ago
Definitely, it's important to account for bias in data analysis.
upvoted 0 times
...
Brock
3 days ago
Yeah, it can really skew the results if you're not careful.
upvoted 0 times
...
Shantay
16 days ago
I always have to be careful of measurement bias in my experiments.
upvoted 0 times
...
...
Marguerita
2 months ago
D) Breadth? Really? I mean, I know I'm no statistics expert, but that one's just silly. Gotta be A) Bias.
upvoted 0 times
Clarence
6 days ago
Definitely Bias. Breadth doesn't fit the definition at all.
upvoted 0 times
...
Shizue
10 days ago
Yeah, Bias makes more sense. It's about the difference between observed and expected values.
upvoted 0 times
...
Blossom
26 days ago
I think it's A) Bias too. Breadth doesn't really make sense in this context.
upvoted 0 times
...
...
Boris
2 months ago
I was leaning towards B) Linearity, but after re-reading the question, Bias definitely makes more sense. Nice try, tricky question!
upvoted 0 times
Margot
17 days ago
It's definitely a tricky question, but Bias is the right choice here.
upvoted 0 times
...
Annamaria
1 months ago
I initially thought it was Linearity too, but Bias is definitely the correct answer.
upvoted 0 times
...
Lizette
1 months ago
Yeah, I agree. Linearity wouldn't make sense in this context.
upvoted 0 times
...
Ammie
2 months ago
I think it's A) Bias too, it's all about the difference between observed and expected values.
upvoted 0 times
...
...
Glenna
2 months ago
I'm not sure, but I think it might be B) Linearity.
upvoted 0 times
...
Merilyn
2 months ago
I agree with Bok, bias makes sense in this context.
upvoted 0 times
...
Diane
2 months ago
Hmm, I think the correct answer is A) Bias. Bias is the difference between the observed and expected values in a dataset.
upvoted 0 times
...
Bok
2 months ago
I think the answer is A) Bias.
upvoted 0 times
...

Save Cancel
az-700  pass4success  az-104  200-301  200-201  cissp  350-401  350-201  350-501  350-601  350-801  350-901  az-720  az-305  pl-300  

Warning: Cannot modify header information - headers already sent by (output started at /pass.php:70) in /pass.php on line 77