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chl
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How to compute Confidence Interval onassociated to a Binomial Proportion's % Increase Using Rproportion's increase?

Not sure if you can help me but here's the problem.

Example: I have two binomial proportions A &and B (95% CI) -

A = 2% +/- 0.2%

B = 3% +/- 0.2%$A = 2\% \pm 0.2\%,\quad B = 3\% \pm 0.2\%.$

In other words, B's proportion is 50% higher than A's.

Business people tend to prefer speaking about this difference in terms of a percentage increase. In other words, B's proportion is 50% higher than A's.How How do I go about calculating thea Confidence Interval onfor the 50% increase of B's proprtionproportion over A.

I've done some research into Fieller’s formula which is said to provide exact percent effect however. However, besides not understanding Fieller's theorem, I don't know how I would go about calculating this in R.

Can anyone help?

Edit:Edit: E.g., if the CI for those intervals is 95%, the CI for the 50% increase = 98.52%.

Confidence Interval on a Binomial Proportion's % Increase Using R

Not sure if you can help me but here's the problem.

Example: I have two binomial proportions A & B (95% CI) -

A = 2% +/- 0.2%

B = 3% +/- 0.2%

In other words, B's proportion is 50% higher than A's.

Business people tend to prefer speaking about this difference in terms of a percentage increase. In other words, B's proportion is 50% higher than A's.How do I go about calculating the Confidence Interval on the 50% increase of B's proprtion over A.

I've done some research into Fieller’s formula which is said to provide exact percent effect however, besides not understanding Fieller's theorem, I don't know how I would go about calculating this in R.

Can anyone help?

Edit: E.g. if the CI for those intervals is 95%, the CI for the 50% increase = 98.52%.

How to compute Confidence Interval associated to a Binomial proportion's increase?

Not sure if you can help me but here's the problem.

I have two binomial proportions A and B (95% CI) -

$A = 2\% \pm 0.2\%,\quad B = 3\% \pm 0.2\%.$

In other words, B's proportion is 50% higher than A's.

Business people tend to prefer speaking about this difference in terms of a percentage increase. In other words, B's proportion is 50% higher than A's. How do I go about calculating a Confidence Interval for the 50% increase of B's proportion over A.

I've done some research into Fieller’s formula which is said to provide exact percent effect. However, besides not understanding Fieller's theorem, I don't know how I would go about calculating this in R.

Can anyone help?

Edit: E.g., if the CI for those intervals is 95%, the CI for the 50% increase = 98.52%.

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Rob
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Not sure if you can help me but here's the problem.

Example: I have two binomial proportions A & B (95% CI) -

A = 2% +/- 0.2%

B = 3% +/- 0.2%

In other words, B's proportion is 50% higher than A's.

Business people tend to prefer speaking about this difference in terms of a percentage increase. In other words, B's proportion is 50% higher than A's.How do I go about calculating the Confidence Interval on the 50% increase of B's proprtion over A.

I've done some research into Fieller’s formula which is said to provide exact percent effect however, besides not understanding Fieller's theorem, I don't know how I would go about calculating this in R.

Can anyone help?

Edit: E.g. if the CI for those intervals is 95%, the CI for the 50% increase = 98.52%.

Not sure if you can help me but here's the problem.

Example: I have two binomial proportions A & B (95% CI) -

A = 2% +/- 0.2%

B = 3% +/- 0.2%

In other words, B's proportion is 50% higher than A's.

Business people tend to prefer speaking about this difference in terms of a percentage increase. In other words, B's proportion is 50% higher than A's.How do I go about calculating the Confidence Interval on the 50% increase of B's proprtion over A.

I've done some research into Fieller’s formula which is said to provide exact percent effect however, besides not understanding Fieller's theorem, I don't know how I would go about calculating this in R.

Can anyone help?

Not sure if you can help me but here's the problem.

Example: I have two binomial proportions A & B (95% CI) -

A = 2% +/- 0.2%

B = 3% +/- 0.2%

In other words, B's proportion is 50% higher than A's.

Business people tend to prefer speaking about this difference in terms of a percentage increase. In other words, B's proportion is 50% higher than A's.How do I go about calculating the Confidence Interval on the 50% increase of B's proprtion over A.

I've done some research into Fieller’s formula which is said to provide exact percent effect however, besides not understanding Fieller's theorem, I don't know how I would go about calculating this in R.

Can anyone help?

Edit: E.g. if the CI for those intervals is 95%, the CI for the 50% increase = 98.52%.

Source Link
Rob
Rob
  • 391
  • 1
  • 3
  • 8

Confidence Interval on a Binomial Proportion's % Increase Using R

Not sure if you can help me but here's the problem.

Example: I have two binomial proportions A & B (95% CI) -

A = 2% +/- 0.2%

B = 3% +/- 0.2%

In other words, B's proportion is 50% higher than A's.

Business people tend to prefer speaking about this difference in terms of a percentage increase. In other words, B's proportion is 50% higher than A's.How do I go about calculating the Confidence Interval on the 50% increase of B's proprtion over A.

I've done some research into Fieller’s formula which is said to provide exact percent effect however, besides not understanding Fieller's theorem, I don't know how I would go about calculating this in R.

Can anyone help?