<< Click to Display Table of Contents >> CONFIDENCE.NORM (confidence interval) |
Syntax:
CONFIDENCE.NORM(Alpha, Sigma, n)
Description:
Returns a value that allows you to determine the 1-alpha confidence interval for the population mean of a distribution.
The 1-alpha confidence interval is a range of values around the sample mean x covering the interval from (x - CONFIDENCE) to (x + CONFIDENCE). The probability that this interval contains the population mean is 1-Alpha.
Alpha is the significance level to compute the confidence level. Must be in the range 0 to 1.
For example, if Alpha is 5%, the probability that the population mean is outside the confidence interval is 5%. The probability that it is inside is 1-Alpha, i.e., 95%. Therefore, 1-alpha is also called the "confidence level".
Sigma is the population standard deviation. Must be > 0.
n is the size of the sample. Must be > 0.
Example:
The average weight of 1000 piglets is to be determined in a pig farm. For this purpose, a sample (with replacement) of the size n=65 is taken. The average weight determined is 30 kg. The standard deviation is 1,6 kg.
The 95% confidence interval (alpha is therefore 0.05 here) is now to be determined. So you would calculate:
CONFIDENCE.NORM(0.05, 1.6, 65) returns 0.38897 (kg)
The average weight of the population (= of all 1000 piglets) is therefore with a probability of 95% between 30-0.38897 kg and 30+0.38897 kg.
Compatibility notes:
Microsoft Excel supports this function only in version 2010 or later. In older versions, the function is unknown.
See also: