Mean+Confidence+Intervals

Mean Confidence Intervals (Confidence Intervals) (GWU EMSE-271)
Index | Topics (Logical Lectures) | Lectures | Problems | Readings | References | Concepts

"Estimator distributions are important to determine confidence intervals." - EMSE 271, Fall 2009 (Slides 68-70)

Here is the pretty picture. Get words from draft slide 68 notes. CHECK


 * Mu [ is | may be ] in an interval. ** Mu is constant. Boundaries are variable. Probability statement about the (confidence) interval) mu will be in the interval, not a statement about mu. It provides a sense of location and accuracy of mu. ** [Shows a trianglar distribution where mu is not in confidence interval. We can not say that mu will be within the CI 90% of the time.] **

Second slide shows how to compute. Looking at voltage.xls, Van Dorp points out that Excel for TINV assumes a two-side test.

EMSE 271, Fall 2009 (Slide 69)


 * Sources:**
 * EMSE 271, Fall 2009 (Slides 68-69)