- Last Time: Chapter 10 - Confidence Intervals
- Point estimators versus interval estimators
- Unbiasedness and consistency
- Relatively efficient estimator
- Basic idea of confidence
interval estimator of mu (p. 302)
- We're going to build a cage around a point
estimator, that we hope captures the parameter.
- Using a wider cage means you're more likely to
catch it, but by using a larger cage you're not
saying as much!
- You want to be right a goodly amount of the time
(e.g. 90%, 95%).
- Today: finish Chapter 10
- Collect homework 9.3
- Applet #15
- sections 10.1-10.3 - Confidence Intervals
- Example: 10.53
- Example: 10.54
- section 10.4 - Computing sample size from a desired interval
- Example: 10.81
- Example: 10.66
- Next time: Test of Hypothesis (Sections
11.1-11.3)
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