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Product Management vocabulary · Experiments & A/B Testing

Statistical significance

Meaning in product management, with examples

nounAdvanced term

In product management, statistical significance means: A sign that a difference between test groups is probably real and not just the result of random chance, judged against an agreed threshold.

In Turkish: istatistiksel anlamlılık

How it is used

Teams often use a 95% confidence level, which matches a p-value below 0.05. PMs ask whether a result is statistically significant before acting on it, and avoid stopping a test early just because the numbers look good.

Example sentences

  1. The difference looks big, but it isn't statistically significant yet.

  2. We reached statistical significance after 40,000 visitors.

Common collocations

  • reach statistical significance
  • statistically significant result
  • significance level
  • p-value
  • A/B testAn experiment in which users are randomly split into groups that see different versions of a page or feature, so the team can measure which version performs better.
  • control groupIn an experiment, the group of users who see the current, unchanged version, so their results can be compared with the group that sees the change.
  • variantIn an A/B test, a changed version of a page or feature that is shown to some users and compared with the current version.
  • hypothesisA clear, testable statement of what the team believes will happen if it makes a change, and how it will know whether it was right.
  • baselineThe starting value of a metric before a change is made, used as a reference point to measure whether the change improved anything.

This word in other fields

The same English word can have a different meaning in another field:

More terms: Experiments & A/B Testing

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