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Adobe AD0-E559 Exam - Topic 3 Question 50 Discussion

Actual exam question for Adobe's AD0-E559 exam
Question #: 50
Topic #: 3
[All AD0-E559 Questions]

A marketer conducted an A/B test and expected the new version to perform better than the original version. However, this did not occur.

What conclusion can the marketer make about these A/B test results?

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Suggested Answer: A

The conclusion that the marketer can make about these A/B test results is that their test hypothesis was invalidated and they should test again. This means that their assumption about what would improve their email performance was not supported by the data and they should try a different variation or element to test.The test was not erroneous or too short, as long as it was set up correctly and ran for a sufficient time period to reach statistical significance


by Margret at Jul 08, 2025, 09:56 PM

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Melynda
2 months ago
Not sure if throwing out results is the right move.
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Olen
2 months ago
Totally agree, the hypothesis was off.
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Arletta
2 months ago
They should definitely test again!
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Virgie
3 months ago
Wait, how long did they actually run the test?
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Tonja
3 months ago
I think the test was just flawed.
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Desmond
3 months ago
I feel a bit confused, but I think if the hypothesis was wrong, we should definitely test again, which makes me lean towards A.
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Kirk
3 months ago
I think we talked about how sometimes tests need more time to gather enough data, so maybe option C is also a possibility?
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Elza
4 months ago
I'm not entirely sure, but I feel like if the test was flawed, we might just need to discard the results, which sounds like option B.
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Janna
4 months ago
I remember we discussed how an invalidated hypothesis means we might need to rethink our approach, so I think option A could be right.
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Demetra
4 months ago
I'm pretty confident on this one. Since the expected result didn't happen, the test hypothesis must have been invalid. Gotta go with option A and test again with a revised plan.
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Nu
4 months ago
Wait, could it be that the test period was too short? Maybe the new version would have performed better if they had let it run longer. I'm leaning towards option C, but I'm not totally sure.
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Shaquana
4 months ago
Okay, I see what they're getting at. If the new version didn't perform better, then the original test hypothesis was wrong. I'll mark option A as the answer.
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Miriam
5 months ago
Hmm, I think the key here is that the expected result didn't occur. That means the test hypothesis was likely incorrect, so I'd go with option A and test again with a revised hypothesis.
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Kris
5 months ago
This is a tricky one. I'm not sure if the test was erroneous or if the hypothesis was just invalidated. I'll need to think through the possible reasons carefully.
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Tawanna
7 months ago
Haha, I bet the marketer is feeling a bit like a magician who can't make their rabbit disappear. A/B testing can be a real head-scratcher sometimes, am I right? But hey, at least they're trying to improve their marketing game!
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Shawnta
5 months ago
A) Their test hypothesis was invalidated and they should test again.
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Ruthann
7 months ago
B is the way to go. The test was clearly erroneous, and throwing out the results is the best option. Might as well start from scratch and forget this whole thing ever happened. Shake it off, marketer!
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Celeste
5 months ago
A) Their test hypothesis was invalidated and they should test again.
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Hoa
7 months ago
I agree, they should let it run longer before drawing conclusions.
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Maira
7 months ago
Or maybe they didn't give it enough time to run.
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Lucy
7 months ago
Hmm, I'm going with C. The test period was too short. How can you expect to get reliable results in just a few days? They need to let it run for at least a month, maybe two. Patience is a virtue, my friend.
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Kerry
7 months ago
I think the correct answer is A. The test hypothesis was invalidated, so they need to go back and test again to see what's really going on. Better luck next time, marketer!
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Andra
7 months ago
B) The test was erroneous and the results should be thrown out.
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Jovita
7 months ago
A) Their test hypothesis was invalidated and they should test again.
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Ettie
7 months ago
B) The test was erroneous and the results should be thrown out.
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Thaddeus
7 months ago
A) Their test hypothesis was invalidated and they should test again.
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Ruby
8 months ago
Yeah, their hypothesis was probably wrong.
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Sharee
8 months ago
I think the marketer should test again.
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