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Non-Interference Assumption Case and its Impact on A/B Testing on Web and Mobile
| Term |
Description |
Impact on A/B Testing |
| Non-Interference Assumption |
The assumption that the behavior of one group of users does not affect the behavior of another group of users in an experiment. |
If the non-interference assumption is violated, the results of an A/B test may be unreliable or biased. For example, if users in the control group are influenced by the changes made to the experimental group, the results may not accurately reflect the impact of the changes. |
| A/B Testing on Web |
A method of comparing two versions of a web page or app to determine which one performs better. |
If the non-interference assumption is violated, the results of an A/B test on web may be unreliable. For example, if users in the control group are exposed to the changes made to the experimental group, the results may not accurately reflect the impact of the changes. |
| A/B Testing on Mobile |
A method of comparing two versions of a mobile app to determine which one performs better. |
If the non-interference assumption is violated, the results of an A/B test on mobile may be unreliable. For example, if users in the control group are influenced by the changes made to the experimental group, the results may not accurately reflect the impact of the changes. |
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