Lecture 32 - 211 Fall 2009

# 1 2 terms errors conclusions summary to reject or fail

This preview shows page 1. Sign up to view the full content.

This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: lineate Rejection and Non-Rejection Regions. 1 2. Terms, Errors, Conclusions. Summary – to Reject or Fail to Reject. • • • • How do we decide whether to Reject H0? Estimate μx using the sample mean. Sample mean is a random variable. There will be Sampling Error ⇒ Sampling will be Sampling Error Distribution. • The sample data must convince you H0 is wrong – a sizeable difference should occur to reject H0. Your test statistic must fall into the critical region(s). 2. Terms, Errors, Conclusions. Choosing the Critical Values • Choosing critical values is choosing the probability of making a Type I Error. • P(Type I Error) = • What Type I Error chance can you live with? • Typical levels: • Reject if Sampling Distribution when H0 is true: • Choose Critical Values – if sample mean is outside either value, then Reject H0: μx = μ0 2 Critical Critical Values for a One-Tail Test: One• Draw the Standardized Distribution. Standardized • Delineate the Rejection/Non-Rejection Regions...
View Full Document

{[ snackBarMessage ]}

Ask a homework question - tutors are online