what is p-value and A/B testing

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P-value is a statistical measure that helps determine the significance of results in hypothesis testing. A/B testing is a method of comparing two versions of a webpage or app to see which one performs better.

P-value is the probability of obtaining a result as extreme or more extreme than the observed result, assuming the null hypothesis is true.
A/B testing involves randomly dividing a sample into two groups and exposing each group to a different version of a webpage or app.
The results of A/B testing are analyzed using statistical methods, including calculating the p-value, to determine if there is a significant difference between the two versions.
A low p-value (typically less than 0.05) indicates that the difference between the two versions is statistically significant and not due to chance.
A/B testing is commonly used in marketing and product development to optimize website or app design and improve user experience.

what is p-value and A/B testing

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