<p>Let’s say we want to launch a re-design of a landing page to improve the click-through rate. We can do this by implementing an AB test.
Given that we launch an AB test, how would you infer if the results of the click-through rate were statistically significant or not?</p>


<p>How can you accurately conclude if the results of an A/B test, conducted to evaluate the effectiveness of a landing page redesign, are statistically significant?</p>


How can you accurately conclude if the results of an A/B test, conducted to evaluate the effectiveness of a landing page redesign, are statistically significant?

Statistically Significant Test

Ensure equal numbers of users in both groups and conclude the test based on this criterion alone.

Wait for the A/B test to run for a period defined by initial analysis and decide based on the highest click-through rate without further statistical analysis.

Conduct the test for a predetermined period, decided by a power analysis, and then check if the p-value of the observed differences in click-through rates is less than a predefined significance level, such as 0.05 or 0.10, to confirm statistical significa

Monitor the results periodically and stop the test to implement the design with the highest click-through rate as soon as any spike is observed.

Implement the redesigned page without conducting any A/B testing, assuming that redesigns invariably lead to improvements in click-through rates.

Precisely ascertain whether the outcomes of an A/B test, executed to assess the impact of a landing page redesign, exhibit statistical significance.

Statistically Significant Test

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