The distribution of N in (13.1) is often not approximately normal. The distribution of = m/n2,

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The distribution of ˆN in (13.1) is often not approximately normal. The distribution of Ṕ = m/n2, however, is often close to normality, and CIs for ˆp are easily constructed. For the data in Example 13.1, find a 95% CI for Ṕ. How can you use that interval to obtain a CI for Ṅ? How does the resulting CI compare with others we calculated? Is the interval symmetric about Ṅ?
Distribution
The word "distribution" has several meanings in the financial world, most of them pertaining to the payment of assets from a fund, account, or individual security to an investor or beneficiary. Retirement account distributions are among the most...
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Sampling Design And Analysis

ISBN: 627

2nd Edition

Authors: Sharon L. Lohr

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