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Can you provide a clear and simple explanation of the P-value for a non-technical person on the team, using an analogy or example that they can understand?

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Anonymous

a month ago

P-value means the significant value for a test. if test result is less than it, which means there is an effect on the changes, it test result is greater than it, there is no difference between the changes. For example, in our case, we tested two different web pages, one is the original and one is the revised. Our target metric is conversion rate, if test result less than p value, which means the revised web pages can increase conversion rate over a certain level, it not, vice versa. 

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Interview question asked to Data Scientists interviewing at Illumina, BetterUp, Zoox and others: Can you provide a clear and simple explanation of the P-value for a non-technical person on the team, using an analogy or example that they can understand?.

Can you provide a clear and simple explanation of the P-value for a non-technical person on the team, using an analogy or example that they can understand?

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