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PRMIA Exam 8007 Topic 3 Question 87 Discussion

Actual exam question for PRMIA's 8007 exam
Question #: 87
Topic #: 3
[All 8007 Questions]

A 95% confidence interval for a parameter estimate can be interpreted as follows:

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Suggested Answer: A

by Gladys at Oct 20, 2024, 03:04 AM

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Malissa
1 months ago
Haha, I love these stats questions! The answer is definitely A, it's a classic interpretation of the 95% confidence interval.
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Cruz
9 days ago
Absolutely, A is the right choice. It's important to understand the concept of confidence intervals in statistics.
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Carri
22 days ago
Stats questions can be tricky, but this one is pretty straightforward. A is the correct interpretation.
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Marta
29 days ago
I agree, the answer is A. It's all about the probability of the real value being within the interval.
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Vi
1 months ago
The probability of the real value being outside the interval is 1 - 0.95 = 0.05, so B is the correct answer.
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Roselle
20 days ago
Got it, thanks for clarifying!
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Antione
22 days ago
So, the answer would be B) The probability that the real value of the parameter is outside this interval is 95%.
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Joanne
23 days ago
Yes, that's correct. The probability of the real value being outside the interval is 0.05.
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Jose
26 days ago
I think the correct interpretation is that the real value is outside the interval.
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Tracie
2 months ago
I think C is the right answer. The confidence interval is about the estimated value, not the real value.
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Reiko
2 months ago
I agree with Mitzie, because a confidence interval is about the real value of the parameter.
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Tracey
2 months ago
Option A seems correct to me. The 95% confidence interval means that we are 95% confident that the real value of the parameter is within that interval.
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Marcelle
1 months ago
So, the 95% confidence interval gives us a good idea of where the parameter likely lies.
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Diane
1 months ago
Exactly, it's about how confident we are that the true value falls within that range.
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Emogene
1 months ago
So, it's not about the probability of the estimated value being within the interval, but rather the true value.
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Cordelia
1 months ago
That makes sense. It's all about our level of certainty regarding the parameter.
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Merissa
1 months ago
Exactly, it's about how certain we are that the true value falls within that range.
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Elouise
2 months ago
That makes sense, it's all about our confidence level in where the true parameter value lies.
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Raylene
2 months ago
I agree, option A is the correct interpretation of a 95% confidence interval.
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Barrie
2 months ago
I agree, option A is correct. It represents our confidence level in the interval.
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Mitzie
3 months ago
I think the answer is A.
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