- Last Time: Sampling distribution of a proportion; preview of confidence intervals
- Today:
- Chapter 10: sections 10.1-10.3 - 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%).
- Example: 10.54
- Chapter 10: sections 10.4 - Sample size
- Next time: More on chapter 10
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