Calculate a confidence interval for a population mean using a normal distribution.

`=CONFIDENCE.NORM(alpha, standard_dev, size)`

- alpha - the significance level used to calculate the confidence level
- standard_dev - the standard deviation for the data set
- size - the sample size

`=CONFIDENCE.NORM(A2:A4, 0.95)`

The CONFIDENCE.NORM function computes a confidence interval for the population mean based on a sample of data.

The CONFIDENCE.NORM function calculates a confidence interval for a population mean using a normal distribution. As an example, it can be used to estimate the probability of the next package taking a delivery time within the confidence interval.

- The CONFIDENCE.NORM function calculates a confidence interval for a population mean, which is a range of values that includes the population mean and is the sample mean plus one standard deviation.
- The CONFIDENCE.NORM function uses a normal distribution to calculate the confidence interval.

The CONFIDENCE.NORM function calculates a confidence interval using a normal distribution. The confidence interval is a range of values that uses a normal distribution to calculate the confidence interval.

The confidence interval does not allow the analyst to infer that there is probability 1 - alpha that the next package will take a delivery time that is in the confidence interval.

The CONFIDENCE.NORM does not return the #NUM! error if standard_dev is less than 0.

Drop CSV