Statistical method & guardrails — found from sitemap — AB Tasty

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Facts read from this source

• Frequentist mode available Report an error

  “While our primary framework is Bayesian, some users prefer Frequentist analysis. This option uses the same core data and offers a different statistical perspective.”

• Frequentist activation Report an error

  “Ask your CSM to activate the feature to your account”

• Frequentist scope option Report an error

  “If you want to apply to all reports of the account, check "Apply to all reportings".”

• Frequentist metric changes Report an error

  ““Chance to win” switches to “p-value””

• Frequentist visual aids Report an error

  “Blue artifact and stats’ font if p-value =< 0.05. Highlighting that the tests results provide potential learnings. Orange artifact and stats’ font when p-value >= 0.95. Highlighting that the tests results provide no learnings.”

• Frequentist same metrics Report an error

  “Frequentist analysis uses the exact same conversion metrics as Bayesian tests, including inverse metrics like bounce rate.”

• Frequentist confidence intervals Report an error

  “Confidence Intervals remain a core output. They are computed differently but maintain the same format and meaning, indicating the range within which the true effect likely lies.”

• Frequentist p value no direction color Report an error

  “Unlike Bayesian CTW, the p-value does not use red/green color coding for uplift/loss.”

• Frequentist significance threshold Report an error

  “Standard Significance: The industry standard significance threshold is a p-value of <0.05. This indicates a statistically significant difference has been found.”

• Emotion AI segments threshold Report an error

  “Emotion AI Segments: For Emotion AI segments, a p-value of <0.10 combined with a Confidence Interval showing a positive gain (i.e., the measured gain is >0) corresponds to the 90 Bayesian CTW.”

• Emotion AI module exists Report an error

  “Emotions AI”

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