Question 1 of 30
A marketing team is conducting an A/B test to determine which version of their email campaign yields a higher click-through rate (CTR). They send Version A to 1,000 recipients and Version B to another 1,000 recipients. After the campaign, they find that Version A had 150 clicks, while Version B had 120 clicks. To assess the statistical significance of the results, they calculate the p-value using a two-proportion z-test. What is the correct interpretation of the p-value if it is found to be 0.03?
There is a statistically significant difference in click-through rates between Version A and Version B at the 0.05 significance level.
The results indicate that Version A is definitely better than Version B.
The p-value suggests that the observed difference in click-through rates is due to random chance.
There is no difference in the effectiveness of the two email versions.

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