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A(n) ______________ is best used to compare a Machine 1 average quality characteristic to the same quality characteristic of Machine 2.
Suggested Answer: B
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32 comments · newest first
BE
Beula
10 months ago
Not sure about that, seems too simple for comparing machines.
MA
Marisha
10 months ago
I thought the F test was for variance comparison?
GL
Glen
10 months ago
I agree, that's the right choice.
CA
Catherin
11 months ago
Wait, isn't ANOVA better for more than two machines?
JU
Julian
11 months ago
Definitely a 2-Sample t-test!
FR
France
11 months ago
I’m leaning towards the 2-Sample t-test too, but I wonder if the F test could be relevant in some way?
GI
Gilma
11 months ago
I practiced a question like this, and I feel like the 1-Sample t-test is for comparing one sample to a known value, not two machines.
BO
Bobbye
12 months ago
I'm not entirely sure, but I remember something about ANOVA being used for more than two groups.
LU
Luz
12 months ago
I think we might need a 2-Sample t-test here since we're comparing two different machines.
PA
Page
12 months ago
The 2-Sample t-test is definitely the best choice for this question. It's the appropriate statistical test when you want to compare the means of two independent samples, which is exactly what we're doing here with the two machines.
KA
Kanisha
1 year ago
I'm a little confused on this one. Is the 1-Sample t-test also a possibility, or is that not relevant here? I want to make sure I understand the differences between the test options.
CH
Cherry
1 year ago
Okay, I've got this. The 2-Sample t-test is the way to go here. It allows us to compare the means of the two machines and see if there's a significant difference between them.
LO
Lonny
1 year ago
Hmm, I'm a bit unsure about this one. I know we need to compare the quality characteristics, but I'm not sure if the 2-Sample t-test is the right test to use. Let me think this through a bit more.
LE
Lennie
1 year ago
This looks like a straightforward statistical test question. I think the 2-Sample t-test is the best option here to compare the average quality characteristics of the two machines.
CL
Clay
1 year ago
If you picked the 1-Sample t-test, you must be operating a machine that's stuck in the stone age. 2-Sample t-test is the way to go, my friend.
PI
Pilar
1 year ago
Definitely the 2-Sample t-test! It's much better for comparisons.
RI
Rima
1 year ago
Can't go wrong with the 2-Sample! Let's be modern here.
KE
Keshia
1 year ago
The F test is cool too, but for this, t-test is perfect.
AN
Andra
1 year ago
I believe D) ANOVA test is used for comparing more than two groups, not just two machines.
GL
Glory
1 year ago
I'm not sure, but I think A) 1-Sample t-test is used for comparing one sample to a known value.
PE
Pearly
1 year ago
A 1-Sample t-test? Really? That's for comparing a single sample to a known population mean. This is clearly a comparison between two machines, so 2-Sample t-test all the way!
BL
Blythe
1 year ago
I agree, it's used to compare the means of two different samples.
AR
Arlette
1 year ago
I think a 2-Sample t-test is the best option here.
HO
Howard
1 year ago
I agree with Sylvie, because we are comparing two different machines.
SY
Sylvie
1 year ago
I think the answer is B) 2-Sample t-test.
KE
Kenia
1 year ago
Hmm, the F test is more for checking the equality of variances, not really the means. Gotta go with the 2-Sample t-test on this one.
DO
Dorothea
1 year ago
Yeah, the F test is more for variances, not means. 2-Sample t-test it is.
GA
Galen
1 year ago
I agree, the 2-Sample t-test is the way to go for comparing means.
PA
Pansy
1 year ago
The ANOVA test would work too, but it's overkill for just two machines. The 2-Sample t-test is the simplest and most appropriate choice.
PH
Phyliss
1 year ago
I think the 2-Sample t-test is the way to go here. It's perfect for comparing the means of two different machines.
CA
Casie
1 year ago
Yes, the 2-Sample t-test is specifically designed for comparing two different groups, so it's perfect for this scenario.
SH
Sharan
1 year ago
I agree, the 2-Sample t-test is definitely the best option for comparing the means of two machines.