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duplicates list edited from Sample size when one hypothesis is overwhelming to Sample size when one hypothesis is overwhelming, Using Rule of Three to obtain confidence interval for a binomial population, Is this a valid way to construct a confidence interval?, Revisiting the Rule of Three
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whuber ♦
whuber ♦
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Post Closed as "Duplicate" by Harvey Motulsky, User1865345, whuber♦
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emaxx
emaxx
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What would be the analog of the "rule of three", but for a 99% confidence interval?

I.e., how to estimate, with the 99% confidence, the rate of occurrences in the population after looking at a sample with n subjects which didn't happenhave the given event occurring?

What would be the analog of the "rule of three", but for a 99% confidence interval?

I.e., how to estimate, with the 99% confidence, the rate of occurrences in the population after looking at a sample with n subjects which didn't happen the given event occurring?

What would be the analog of the "rule of three", but for a 99% confidence interval?

I.e., how to estimate, with the 99% confidence, the rate of occurrences in the population after looking at a sample with n subjects which didn't have the given event occurring?

added 47 characters in body
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emaxx
emaxx
  • 1
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What would be the analog of the "rule of three", but for a 99% confidence interval?

I.e., how to estimate, with the 99% confidence, the rate of occurrences in the population after looking at a sample with n subjects, with which didn't happen the 99% confidencegiven event occurring?

What would be the analog of the "rule of three", but for a 99% confidence interval?

I.e., how to estimate the rate of occurrences in the population after looking at a sample with n subjects, with the 99% confidence?

What would be the analog of the "rule of three", but for a 99% confidence interval?

I.e., how to estimate, with the 99% confidence, the rate of occurrences in the population after looking at a sample with n subjects which didn't happen the given event occurring?

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emaxx
emaxx
  • 1
  • 1

Equivalent of "rule of three" for 99% confidence?

What would be the analog of the "rule of three", but for a 99% confidence interval?

I.e., how to estimate the rate of occurrences in the population after looking at a sample with n subjects, with the 99% confidence?