STAT 200 Chapter Notes - Chapter 23: Null Model, Unimodality, Null Hypothesis
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STAT 200 Full Course Notes
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Chapter 23: inferences about means t-model: used when is unknown ; n-1 degrees of freedom: when is known, use standard normal model. Perform: assumptions and conditions for making a ci: sample is randomly drawn= representative; not biased, sampled values are independent (<10%/ small fraction of pop. Enough sample size for: t-model when sigma is unknown, and for standard. +/- t* n-1(s/sqrt(n): use closest degrees of freedom if degree of freedom not listed, critical value: t*n-1. Case 2: ci construction for when sigma is known: use (y bar): /sqrt(n, use standard normal model, ci: Area on the right of the z-score: (100-cl)/2= % of upper tail r commander. ?, cl% of the cl% ci constructed will contain the : ex. true mean travel time: we are cl% confident that the parameter: ex: true mean travel time falls between . And (or within the interval ( , ))
