Description
The Excel CONFIDENCE.NORM function uses a Normal Distribution to calculate a confidence value that can be used to construct the confidence interval for a population mean, for a supplied probablity and sample size. It is assumed that the standard deviation of the population is known.
The Confidence.Norm function is new to Excel 2010. However, this is simply a renamed version of the Confidence function, which is available in earlier versions of Excel.
The format of the function is :
CONFIDENCE.NORM( alpha, standard_dev, size )
where the arguments are listed in the table below :
To calculate the confidence interval for a population mean, the returned CONFIDENCE value must then be added to, and subtracted from, the sample mean. ie. for the sample mean x :
Confidence Interval = x ± CONFIDENCE
Confidence.Norm Function Example
In the spreadsheet below, the Excel Confidence.Norm Function is used to calculate the confidence interval, with a significance of 0.05 (ie. a confidence level of 95%), for the mean of a sample of heights of 100 men. The sample mean is 1.8 meters and the standard deviation is 0.07 meters.
The above function returns a confidence value of 0.013719748
Therefore the confidence interval is 1.8 ± 0.013719748, which is equal to :
1.786280252 to 1.813719748
Confidence.Norm Function Common Errors
If you get an error from your Excel Confidence.Norm function this is likely to be one of the following :
Common Errors
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