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IASSC ICBB Exam - Topic 6 Question 79 Discussion

Actual exam question for IASSC's ICBB exam
Question #: 79
Topic #: 6
[All ICBB Questions]

What conclusion is most correct about the Experimental Design shown here with the response in the far right column?

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Suggested Answer: B

by Edward at Sep 18, 2024, 02:25 AM

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Frankie
3 months ago
C seems interesting, but is it really that straightforward?
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Marleen
4 months ago
Totally agree with E, more runs needed for solid conclusions.
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Arthur
4 months ago
Wait, how can we conclude anything without P-values?
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Hana
4 months ago
I think B is right, Adv and Bev are key!
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Sharee
4 months ago
Looks like none of the factors hit that 95% confidence mark.
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Derick
5 months ago
I’m really uncertain about this one; I thought we needed more runs to draw any conclusions, so E seems likely, but I’m not confident.
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Rochell
5 months ago
I feel like we had a practice question where we concluded that multiple factors could affect the outcome, so maybe B is correct?
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Galen
5 months ago
I’m not entirely sure, but I think if Adv is increased, it could lead to a better response rate, which makes option C seem plausible.
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Chantay
5 months ago
I remember we discussed how a lack of significant P-values could indicate insufficient data, so option E might be a strong choice.
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Larae
5 months ago
I'm a bit confused by the wording of the answer choices. I'll need to re-read the question and options carefully to make sure I understand what each one is asking.
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Cyril
5 months ago
Based on the information given, it seems like Constant, Adv, and Bev are the only factors that are statistically significant. I'll go with answer B.
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Brett
5 months ago
Okay, let me think this through step-by-step. I need to look at the effects of each factor and see which ones have a 95% or greater confidence level.
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Janey
5 months ago
The P-values are missing, which makes it hard to assess the statistical significance of the factors. I'm not sure I can confidently choose an answer without that key information.
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Malcolm
5 months ago
This looks like a tricky experimental design question. I'll need to carefully analyze the information provided in the MINITABTM output to determine the most correct conclusion.
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Genevieve
10 months ago
Wait, did they just ask us to interpret a MINITAB output with no p-values? That's like trying to read tea leaves to predict the stock market.
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Rebbecca
8 months ago
Maybe we should ask for more information before making a decision.
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Desirae
9 months ago
I agree, without those P-values it's hard to draw any solid conclusions.
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Paola
9 months ago
Wow, that's a tricky one. I think option E might be the most correct.
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Fannie
10 months ago
Ha! I bet the person who wrote this question was just trying to trick us. Of course, option A is the right answer - these results are about as clear as mud.
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Nida
9 months ago
Yeah, this Experimental Design is definitely tricky to interpret.
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Charlene
9 months ago
I agree, it seems like no factor has enough statistical confidence.
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Jolene
10 months ago
I think option A is correct, these results are confusing.
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Latosha
11 months ago
Hmm, I'm not too sure about this one. The lack of p-values is a bit concerning, so I'm leaning towards option E. Maybe I should have paid more attention in my design of experiments class.
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Carmen
9 months ago
Definitely, we need to make sure we have enough data to draw meaningful conclusions.
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Felix
10 months ago
Maybe we should revisit our design of experiments notes to understand this better.
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Twanna
10 months ago
Yeah, I agree. Without enough experimental runs, it's hard to draw any conclusions.
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Catina
10 months ago
I think option E is the most correct, the lack of p-values is a red flag.
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Asuncion
11 months ago
Option D seems enticing, but I'm not sure the design has enough power to make such a strong conclusion. It's always best to be cautious with these types of analyses.
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Maryann
11 months ago
This looks like a tricky experimental design question. I think option B is the correct answer, as the results show that Adv and Bev are the only factors with statistically significant effects at the 95% confidence level.
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Zita
10 months ago
Yes, it looks like Adv and Bev are the main factors affecting the response rate according to the statistical analysis.
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Alethea
10 months ago
I agree, option B seems to be the most correct conclusion based on the experimental design.
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Dorothea
11 months ago
But option B states that only Constant, Adv, and Bev are statistically affecting the response rate, while option D suggests that only Adv and Bev at low level are needed for the largest response rate.
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Adria
11 months ago
I disagree, I believe option D is the most correct.
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Dorothea
11 months ago
I think the correct conclusion is option B.
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