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Unformatted text preview: it. This means that one cannot make decisions or draw conclusions that assume the truth of the null hypothesis. (b) For a given data set a two-sided confidence interval for a parameter with a confidence level 99% should be longer than a two-sided confidence interval for the parameter with a confident level 95%. (c) If we have sufficient evidence to reject the null hypothesis, it is equal to show that the alternative is true....
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- Spring '08
- Statistics, Null hypothesis, Statistical hypothesis testing, Interval finite element