Hi,

I'm looking for a formula in excel to give me the maximum and minimum
margin of error at the 95% confidence interval for a given percentage
and sample size.

For example the percentage may be 50% I have a sample size of 16 and
using a stat testing program (STATCHCK) I know the margin of error is
+/- 25% so my maximum would be 75% and my minimum would be 25%.

My problem is I have over 10,000 numbers to check and I want to
automate this in excel. I know there is a data analysis add in excel
but not sure if it can be used to solve my problem.

Any help with my problem would be greatly appreciated.

If you think this should be posted somewhere else please let me know.

Thanks in advance,

Heather

Hi Heather,

Yes, Excel can definitely help you automate this process! Here's a step-by-step guide on how to calculate the maximum and minimum margin of error at the 95% confidence interval for a given percentage and sample size:

1. First, calculate the standard error of the proportion using the following formula:
   
   
   Code:

   =SQRT((p*(1-p))/n)

   where p is the given percentage (in decimal form) and n is the sample size.
   
   For example, if p is 0.5 (50%) and n is 16, the formula would be:
   
   
   Code:

   =SQRT((0.5*(1-0.5))/16)

   which gives a result of 0.125.
   
2. Next, calculate the margin of error using the following formula:
   
   
   Code:

   =1.96*SE

   where SE is the standard error of the proportion calculated in step 1 and 1.96 is the z-score for the 95% confidence interval.
   
   Using the example values from step 1, the formula would be:
   
   
   Code:

   =1.96*0.125

   which gives a result of 0.245.
   
3. Finally, calculate the maximum and minimum values by adding and subtracting the margin of error from the given percentage:
   
   Maximum value = p + ME
   Minimum value = p - ME
   
   Using the example values from step 1 and 2, the maximum value would be:
   
   0.5 + 0.245 = 0.745 (or 75%)
   
   And the minimum value would be:
   
   0.5 - 0.245 = 0.255 (or 25%)
   
   To automate this process for your 10,000 numbers, you can use Excel's built-in functions to reference the cells containing your percentages and sample sizes, and then copy the formulas down the column to calculate the margin of error, maximum value, and minimum value for each row.

the standard error for your sample percentage is =
sqrt(((100-percentage)*percentage)/n-1)

assume 50% is in A1, 16 in B1

= sqrt(((100%-A1)*A1)/(B1-1))

This comes out to 12.91%

assuming your percentage is normally distributed, then a 95% confidence
interval says you should go +/- 1.96 standard errors from the mean

50% - (1.96 * 12.91%) as the lower bound and

50% + (1.96 * 12.91%) as the upper bound


(1.96 * 12.91%) = 25.303%

so you lower bound formula would be

= A1-1.96*sqrt(((100%-A1)*A1)/(B1-1))
your upper bound formula would be
= A1+1.96*sqrt(((100%-A1)*A1)/(B1-1))

--
Regards,
Tom Ogilvy


Heather Rabbitt wrote in message
om...
Hi,

I'm looking for a formula in excel to give me the maximum and minimum
margin of error at the 95% confidence interval for a given percentage
and sample size.

For example the percentage may be 50% I have a sample size of 16 and
using a stat testing program (STATCHCK) I know the margin of error is
+/- 25% so my maximum would be 75% and my minimum would be 25%.

My problem is I have over 10,000 numbers to check and I want to
automate this in excel. I know there is a data analysis add in excel
but not sure if it can be used to solve my problem.

Any help with my problem would be greatly appreciated.

If you think this should be posted somewhere else please let me know.

Thanks in advance,

Heather

Is it valid to use
=CONFIDENCE(Alpha, Standard_dev, Size),
(returns the confidence interval for a population mean)
i.e.
=CONFIDENCE(0.05, 0.5, 16)
(= 24.5%) ?
Is the 1.96 factor also sample size dependent ?
(My stats are rusty)

Merry Christmas to all

Kevin Beckham

-----Original Message-----
the standard error for your sample percentage is =
sqrt(((100-percentage)*percentage)/n-1)

assume 50% is in A1, 16 in B1

= sqrt(((100%-A1)*A1)/(B1-1))

This comes out to 12.91%

assuming your percentage is normally distributed, then a
95% confidence
interval says you should go +/- 1.96 standard errors from
the mean

50% - (1.96 * 12.91%) as the lower bound and

50% + (1.96 * 12.91%) as the upper bound


(1.96 * 12.91%) = 25.303%

so you lower bound formula would be

= A1-1.96*sqrt(((100%-A1)*A1)/(B1-1))
your upper bound formula would be
= A1+1.96*sqrt(((100%-A1)*A1)/(B1-1))

--
Regards,
Tom Ogilvy


Heather Rabbitt wrote in message
. com...
Hi,

I'm looking for a formula in excel to give me the
maximum and minimum
margin of error at the 95% confidence interval for a
given percentage
and sample size.

For example the percentage may be 50% I have a sample
size of 16 and
using a stat testing program (STATCHCK) I know the
margin of error is
+/- 25% so my maximum would be 75% and my minimum would
be 25%.

My problem is I have over 10,000 numbers to check and I
want to
automate this in excel. I know there is a data analysis
add in excel
but not sure if it can be used to solve my problem.

Any help with my problem would be greatly appreciated.

If you think this should be posted somewhere else
please let me know.

Thanks in advance,

Heather


.

the confidence worksheet function assumes a confidence for a mean. It is
unclear from the description given by the OP whether her % is a mean of a
bunch of percentages or if it represents the sample percentage (I assumed
the latter). If so, the sample percentage is actually modelled by a
binomial distribution which can be approximated by a normal distribution for
large samples. Her example really isn't a large sample based on the
"rules", but this isn't the forum to teach statistics.

So back to the confidence worksheet function, one of the inputs is the
standard deviation of the source population. If this is a sample
percentage, then there is no distribution for the source population - just
the population percentage. An estimate of the standard error is calculate
from this sample percentage, but this is not what the confidence worksheet
function is looking for. The standard error is dependent on the sample
size, 1.96 is a constant for 95% confidence interval.

If I take the standard error and multiply it by the squareroot of the sample
size and feed that as the second argument to the confidence function, then
it returns .25303 or 25.3% as I calculated in my post. So I suppose you
could use it with that adjustment.

--
Regards,
Tom Ogilvy



"Kevin Beckham" wrote in message
...
Is it valid to use
=CONFIDENCE(Alpha, Standard_dev, Size),
(returns the confidence interval for a population mean)
i.e.
=CONFIDENCE(0.05, 0.5, 16)
(= 24.5%) ?
Is the 1.96 factor also sample size dependent ?
(My stats are rusty)

Merry Christmas to all

Kevin Beckham

-----Original Message-----
the standard error for your sample percentage is =
sqrt(((100-percentage)*percentage)/n-1)

assume 50% is in A1, 16 in B1

= sqrt(((100%-A1)*A1)/(B1-1))

This comes out to 12.91%

assuming your percentage is normally distributed, then a
95% confidence
interval says you should go +/- 1.96 standard errors from
the mean

50% - (1.96 * 12.91%) as the lower bound and

50% + (1.96 * 12.91%) as the upper bound


(1.96 * 12.91%) = 25.303%

so you lower bound formula would be

= A1-1.96*sqrt(((100%-A1)*A1)/(B1-1))
your upper bound formula would be
= A1+1.96*sqrt(((100%-A1)*A1)/(B1-1))

--
Regards,
Tom Ogilvy


Heather Rabbitt wrote in message
. com...
Hi,

I'm looking for a formula in excel to give me the
maximum and minimum
margin of error at the 95% confidence interval for a
given percentage
and sample size.

For example the percentage may be 50% I have a sample
size of 16 and
using a stat testing program (STATCHCK) I know the
margin of error is
+/- 25% so my maximum would be 75% and my minimum would
be 25%.

My problem is I have over 10,000 numbers to check and I
want to
automate this in excel. I know there is a data analysis
add in excel
but not sure if it can be used to solve my problem.

Any help with my problem would be greatly appreciated.

If you think this should be posted somewhere else
please let me know.

Thanks in advance,

Heather


.

Thanks - just wondering how do I account for scores of zero i.e. (0%)
using this formula:

lower bound formula would be
= A1-1.96*sqrt(((100%-A1)*A1)/(B1-1))
upper bound formula would be
= A1+1.96*sqrt(((100%-A1)*A1)/(B1-1))

Regardless of the sample size I always get lower bound and upper bound
scores of zero?

Thanks again,

Heather


"Tom Ogilvy" wrote in message ...
the confidence worksheet function assumes a confidence for a mean. It is
unclear from the description given by the OP whether her % is a mean of a
bunch of percentages or if it represents the sample percentage (I assumed
the latter). If so, the sample percentage is actually modelled by a
binomial distribution which can be approximated by a normal distribution for
large samples. Her example really isn't a large sample based on the
"rules", but this isn't the forum to teach statistics.

So back to the confidence worksheet function, one of the inputs is the
standard deviation of the source population. If this is a sample
percentage, then there is no distribution for the source population - just
the population percentage. An estimate of the standard error is calculate
from this sample percentage, but this is not what the confidence worksheet
function is looking for. The standard error is dependent on the sample
size, 1.96 is a constant for 95% confidence interval.

If I take the standard error and multiply it by the squareroot of the sample
size and feed that as the second argument to the confidence function, then
it returns .25303 or 25.3% as I calculated in my post. So I suppose you
could use it with that adjustment.

--
Regards,
Tom Ogilvy



"Kevin Beckham" wrote in message
...
Is it valid to use
=CONFIDENCE(Alpha, Standard_dev, Size),
(returns the confidence interval for a population mean)
i.e.
=CONFIDENCE(0.05, 0.5, 16)
(= 24.5%) ?
Is the 1.96 factor also sample size dependent ?
(My stats are rusty)

Merry Christmas to all

Kevin Beckham

-----Original Message-----
the standard error for your sample percentage is =
sqrt(((100-percentage)*percentage)/n-1)

assume 50% is in A1, 16 in B1

= sqrt(((100%-A1)*A1)/(B1-1))

This comes out to 12.91%

assuming your percentage is normally distributed, then a
95% confidence
interval says you should go +/- 1.96 standard errors from
the mean

50% - (1.96 * 12.91%) as the lower bound and

50% + (1.96 * 12.91%) as the upper bound


(1.96 * 12.91%) = 25.303%

so you lower bound formula would be

= A1-1.96*sqrt(((100%-A1)*A1)/(B1-1))
your upper bound formula would be
= A1+1.96*sqrt(((100%-A1)*A1)/(B1-1))

--
Regards,
Tom Ogilvy


Heather Rabbitt wrote in message
. com...
Hi,

I'm looking for a formula in excel to give me the
maximum and minimum
margin of error at the 95% confidence interval for a
given percentage
and sample size.

For example the percentage may be 50% I have a sample
size of 16 and
using a stat testing program (STATCHCK) I know the
margin of error is
+/- 25% so my maximum would be 75% and my minimum would
be 25%.

My problem is I have over 10,000 numbers to check and I
want to
automate this in excel. I know there is a data analysis
add in excel
but not sure if it can be used to solve my problem.

Any help with my problem would be greatly appreciated.

If you think this should be posted somewhere else
please let me know.

Thanks in advance,

Heather


.

(Heather Rabbitt) wrote in message . com...
Thanks - just wondering how do I account for scores of zero i.e. (0%)
using this formula:

lower bound formula would be
= A1-1.96*sqrt(((100%-A1)*A1)/(B1-1))
upper bound formula would be
= A1+1.96*sqrt(((100%-A1)*A1)/(B1-1))

Regardless of the sample size I always get lower bound and upper bound
scores of zero?

Thanks again,

Heather

[snip]

Tom's formulae approximate the exact 97.5% lower/upper confidence
bounds, assuming the data is binomially distributed. The accuracy of
the approximations depends on the sample size and the percentage. They
are less accurate when the sample size is small or the percentage is
close to 0 or 1.

To get exact 97.5% lower/upper confidence bounds, assuming the data is
binomially distributed you could use
100*lcb_binomial(B1,B1*A1/100,0.025) and
100*ucb_binomial(B1,B1*A1/100,0.025).

VBA versions of these functions can be found at
http://members.aol.com/iandjmsmith/Examples.xls


Ian Smith