Wow, this question really has me scratching my head! I'm no statistician, but I'm pretty sure the answer involves some kind of magic formula. Maybe we should ask the population to take a vote on the correct answer. Or we could just roll a 36-sided die and see what comes up. Either way, I'm going with the answer that makes me laugh the most!
Alright, time to put on my statistics hat! If the population has a mean of 125 and a variance of 12, and we're taking samples of size 36, the variance of the sample means should be 12/36 = 0.333. I'm feeling confident about A).
Okay, let me think this through. The population has a mean of 125 and a variance of 12, and we're taking samples of size 36. Hmm, I think the variance of the sample means should be 12/36 = 0.333. I'll go with A).
Aha, this is a classic statistics problem! The variance of the sample means is the population variance divided by the sample size. So, the answer is definitely A) 0.333. Easy peasy!
Hmm, let's see. If the population has a mean of 125 and a variance of 12, and we're taking samples of size 36, the variance of the sample means should be the population variance divided by the sample size, right? That would make it 12/36 = 0.333. I'm going with A).
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