Adobe Exam AD0-E559 Topic 10 Question 38 Discussion

Actual exam question for Adobe's AD0-E559 exam

Question #: 38
Topic #: 10

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?

ATheir test hypothesis was invalidated and they should test again.

BThe test was erroneous and the results should be thrown out.

CThe test period was too short and they need to let it run for a longer time.

Show Suggested Answer

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 Sabina at Oct 20, 2024, 01:42 PM

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Lucina

25 days ago

They should probably stop testing and just go with the original version. I mean, who needs progress anyway? Let's just stick with what we've always done. *rolls eyes*

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Giuseppe

15 days ago

B) The test was erroneous and the results should be thrown out.

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Nakita

16 days ago

C) The test period was too short and they need to let it run for a longer time.

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Catalina

19 days ago

A) Their test hypothesis was invalidated and they should test again.

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Dierdre

1 months ago

A longer test period might give them a clearer picture of how the new version is performing. Sometimes initial results can be misleading, so they should give it more time to see the true impact.

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Rebecka

1 months ago

Throwing out the results just because the test didn't go as expected is a bit hasty. They should analyze the data and see if there are any insights they can glean before deciding the next steps.

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Paola

4 days ago

C) The test period was too short and they need to let it run for a longer time.

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Kyoko

9 days ago

B) The test was erroneous and the results should be thrown out.

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Jill

23 days ago

A) Their test hypothesis was invalidated and they should test again.

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Anastacia

1 months ago

The test hypothesis was invalidated, so I think they should go back and re-evaluate their assumptions before testing again. Rushing into another test without understanding what went wrong won't help.

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