IASSC Exam ICBB Topic 1 Question 63 Discussion

Actual exam question for IASSC's ICBB exam

Question #: 63
Topic #: 1

[All ICBB Questions]

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

ANo factor has enough statistical confidence greater than 95% to have an impact on the response rate

BConstant, Adv and Bev are the only factors statistically affecting the response rate with 95% confidence or more

CIf the Adv is increased from the low level to the high level, the response rate increases

DThe response level is statistically concluded to only need the Adv and Bev factors set at the low level to get the largest response rate

EThis design does not have enough experimental runs to conclude anything as evidenced by the lack of P-values in the MINITABTM output

Show Suggested Answer

Suggested Answer: C

by Jennie at Apr 09, 2024, 01:19 PM

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Phyliss

1 months ago

Wow, this experiment must have been sponsored by the 'Ministry of Silly Designs'! I hope they have a backup plan for when the results turn out to be a total mess.

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Ammie

10 days ago

User 3: Yeah, it seems like the other options are not supported by the experimental design.

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Tina

13 days ago

User 2: I agree, Constant, Adv and Bev are the only factors statistically affecting the response rate with 95% confidence or more.

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Zana

16 days ago

User 1: I think option B is the most correct conclusion.

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Audra

1 months ago

Wait, where's the control group? This whole thing looks a bit sketchy to me. I'm going to have to go with A on this one.

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Brittni

4 days ago

I see your point, but I still think A is the best choice. No factor has enough statistical confidence to impact the response rate.

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Junita

11 days ago

I disagree, I believe D is the most accurate conclusion. The response rate only needs Adv and Bev factors set at the low level.

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Myong

30 days ago

I think B is the correct conclusion here. Constant, Adv, and Bev are the only factors affecting the response rate.

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Brandon

2 months ago

Haha, this design is a real head-scratcher! I guess the experimenters got a little carried away with the 'high' and 'low' levels. E seems like the safest bet here.

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Suzan

16 days ago

User 3: It does seem like there's not enough data to draw any solid conclusions.

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Shenika

17 days ago

User 2: I agree, maybe E is the safest option to go with.

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Theola

1 months ago

User 1: Yeah, this design is definitely confusing.

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Raul

2 months ago

I'm not sure about this one. The design seems a bit incomplete, but I would go with D. Minimizing the factors seems like the best way to get the largest response.

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Pilar

I agree with you. D seems like the most logical conclusion based on the experimental design.

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Cassi

5 days ago

I see your point, but I still believe D is the most accurate. Keeping Adv and Bev at low levels for the largest response.

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Lucy

1 months ago

But what about C? Increasing Adv leads to an increase in the response rate.

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Ahmad

2 months ago

I think B is the correct conclusion. Constant, Adv, and Bev are the only factors affecting the response rate.

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Dortha

2 months ago

I think the correct answer is B. The output clearly shows that Adv and Bev are the only factors with statistical significance at the 95% level.

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Stefany

2 months ago

It's clear that the other factors do not have enough statistical confidence to affect the response rate.

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Phuong

2 months ago

I agree, the data supports that only Adv and Bev have a significant impact on the response rate.

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Catina

2 months ago

But what about the lack of P-values in the MINITABTM output? Doesn't that mean we can't conclude anything?

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Nickie

2 months ago

I disagree, I believe the correct conclusion is 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.

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Catina

3 months ago

I think the correct conclusion is B) Constant, Adv and Bev are the only factors statistically affecting the response rate with 95% confidence or more.

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