Chapter 4.1 Reading Questions
1.
What is a parameter?
2.
Why do we have to estimate parameters instead of calculating them directly?
3.
What is a statistic?
4.
What is an estimator?
5.
Consider Example 4.1. What is the parameter that we are interested in? Why can't we
compute it? What DO we know about the parameters (say, from previous chapters)? What
assumptions are we making about this "knowledge"?
6.
What are three attributes we would like an estimator to have? Is there any way to tell if we
have those?
7.
What is a point estimator?
8.
What is the disadvantage of a point estimator?
9.
What would we use instead of point estimators?
10. What should the width of an interval reflect?
11. What is the formula for calculating the interval using a normal distribution?
12. What is the formula for calculating the interval using a tistribution? When do you use the t
distribution?
13. What is a formula for calculating the minimal sample size needed to obtain an interval with a
certain error?
14. What assumption is made when using the minimal sample size formula?
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 Spring '09
 Libby
 Statistics, Normal Distribution, Meter, minimal sample size

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