| 1. | :: That is only one of many kinds of normal approximation.
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| 2. | The chart compares the true density, the normal approximation, and two edgeworth expansions
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| 3. | The zero bias transformation arises in applications where a normal approximation is desired.
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| 4. | How close is this to what a normal approximation would give?
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| 5. | Is there a normal approximation technique that can use that?
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| 6. | The answer can be traced back to the normal approximation to the binomial distribution.
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| 7. | Central limit theorem treats another sort of normal approximation.
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| 8. | That is, draw the graph of the normal approximation along with a histogram of the binomial distribution.
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| 9. | The addition of 0.5 is the continuity correction; the uncorrected normal approximation gives considerably less accurate results.
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| 10. | Ramsey and Ramsey show that the exact binomial test is always more powerful than the normal approximation.
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