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IASSC ICBB Exam - Topic 6 Question 79 Discussion

What conclusion is most correct about the Experimental Design shown here with the response in the far right column?
B) Constant, Adv and Bev are the only factors statistically affecting the response rate with 95% confidence or more
A) No factor has enough statistical confidence greater than 95% to have an impact on the response rate
C) If the Adv is increased from the low level to the high level, the response rate increases
D) The response level is statistically concluded to only need the Adv and Bev factors set at the low level to get the largest response rate
E) This design does not have enough experimental runs to conclude anything as evidenced by the lack of P-values in the MINITABTM output

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
9 months ago
C seems interesting, but is it really that straightforward?
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Marleen
10 months ago
Totally agree with E, more runs needed for solid conclusions.
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Arthur
10 months ago
Wait, how can we conclude anything without P-values?
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Hana
10 months ago
I think B is right, Adv and Bev are key!
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Sharee
10 months ago
Looks like none of the factors hit that 95% confidence mark.
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Derick
11 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
11 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
11 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
11 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
11 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
11 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
11 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
11 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
11 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
1 year 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
1 year ago
Maybe we should ask for more information before making a decision.
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Desirae
1 year ago
I agree, without those P-values it's hard to draw any solid conclusions.
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Paola
1 year ago
Wow, that's a tricky one. I think option E might be the most correct.
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Fannie
1 year 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
1 year ago
Yeah, this Experimental Design is definitely tricky to interpret.
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Charlene
1 year ago
I agree, it seems like no factor has enough statistical confidence.
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Jolene
1 year ago
I think option A is correct, these results are confusing.
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Latosha
1 year 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
1 year ago
Definitely, we need to make sure we have enough data to draw meaningful conclusions.
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Felix
1 year ago
Maybe we should revisit our design of experiments notes to understand this better.
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Twanna
1 year ago
Yeah, I agree. Without enough experimental runs, it's hard to draw any conclusions.
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Catina
1 year ago
I think option E is the most correct, the lack of p-values is a red flag.
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Asuncion
1 year 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
1 year 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
1 year 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
1 year ago
I agree, option B seems to be the most correct conclusion based on the experimental design.
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Dorothea
1 year 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
1 year ago
I disagree, I believe option D is the most correct.
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Dorothea
1 year ago
I think the correct conclusion is option B.
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