The distribution of N in (13 1) is often not approximately normal The distribution of m n2, however, is often close to normality, and CIs for p are easily constructed For the data in Example 13 1, find a 95 CI for How can you use that interval to obtain a CI for How does the resulting CI compare wi...

For the data in Example 131 20 100 1 5 and a 95 confidence interval for pis The c ...

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

Question:

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?

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