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Post Closed as "Duplicate" by mdewey, mkt, jpmuc, Peter Flom
deleted 24 characters in body
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AdamO
AdamO
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Folks,

I have 15,000 address strings which I have written a piece of code which assigns them to broad geographic region e.g. American address assigned to North America. I would like to check the accuracy of my code however to do this. However I must manually check the strings. To do this I've taken a sample (SRS). I set a margin of error of 5%, a CI of 95% and a response distribution of 50%. Therefore, I assumed that I would assign the correct region half the time.

The issue here is that I am much more accurate then I anticipated. Of my sample of 375 372,372 (99%) wherewere assigned to the correct location. This means I am unable to calculate lower and upper confidence intervalslimits.

Is there any other types of formula I could use when your response distribution is skewed to a highly positive outcome? Or is the only remedy to simply increase my sample size?

Folks,

I have 15,000 address strings which I have written a piece of code which assigns them to broad geographic region e.g. American address assigned to North America. I would like to check the accuracy of my code however to do this I must manually check the strings. To do this I've taken a sample (SRS). I set a margin of error of 5%, a CI of 95% and a response distribution of 50%. Therefore, I assumed that I would assign the correct region half the time.

The issue here is that I am much more accurate then I anticipated. Of my sample of 375 372 (99%) where assigned to the correct location. This means I am unable to calculate lower and upper confidence intervals.

Is there any other types of formula I could use when your response distribution is skewed to a highly positive outcome? Or is the only remedy to simply increase my sample size?

I have 15,000 address strings which I have written a piece of code which assigns them to broad geographic region e.g. American address assigned to North America. I would like to check the accuracy of my code. However I must manually check the strings. To do this I've taken a sample (SRS). I set a margin of error of 5%, a CI of 95% and a response distribution of 50%. Therefore, I assumed that I would assign the correct region half the time.

The issue here is that I am much more accurate then I anticipated. Of my sample of 375,372 (99%) were assigned to the correct location. This means I am unable to calculate lower and upper confidence limits.

Is there any other types of formula I could use when your response distribution is skewed to a highly positive outcome? Or is the only remedy to simply increase my sample size?

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Sean_C
Sean_C
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Calculating Confidence Intervals when proportion is skewed

Folks,

I have 15,000 address strings which I have written a piece of code which assigns them to broad geographic region e.g. American address assigned to North America. I would like to check the accuracy of my code however to do this I must manually check the strings. To do this I've taken a sample (SRS). I set a margin of error of 5%, a CI of 95% and a response distribution of 50%. Therefore, I assumed that I would assign the correct region half the time.

The issue here is that I am much more accurate then I anticipated. Of my sample of 375 372 (99%) where assigned to the correct location. This means I am unable to calculate lower and upper confidence intervals.

Is there any other types of formula I could use when your response distribution is skewed to a highly positive outcome? Or is the only remedy to simply increase my sample size?