QuestionQ58Verified/Data science conceptsCopy linkReport a problemAsk AstroTutorSave questionHow does using confidence intervals in data analysis help a Data Scientist interpret a model?Choose threeAThey identify unimportant or redundant columns that can be dropped.BThey show how each independent variable is related to other independent variables.CThey are most often constructed using confidence levels of 5% or 95%.DThey are used in hypothesis testing and regression analysis.EThey measure the degree of uncertainty or certainty in a sampling method.FThey display the probability that a parameter will fall between a pair of values around the mean.Show AnswerAnswerExplanationConfidence intervals provide a range of plausible values around a parameter estimate and communicate the uncertainty arising from sampling. They have a direct correspondence with hypothesis tests and are used for regression estimates, including confidence intervals for estimated regression-function values.Learn moreNIST: What are confidence intervals?NIST: Relationship between a test and a confidence intervalShow comments0Show commentsCommunity DiscussionNo comments yet. Be the first to start the discussion!
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