Return a confidence interval for a population mean.

`CONFIDENCE.T( alpha, standard_dev, size )`

- alpha - required argument that determines the confidence level
- standard_dev - required argument that is the population standard deviation for the data set
- size - required argument that is the sample size

`=CONFIDENCE.T(0.05,1,50)`

The CONFIDENCE.T function can be used to calculate the confidence interval with a given significance level, standard deviation, and sample size. This example calculates the confidence interval with a 5% significance level, a standard deviation of 1, and a sample size of 50, resulting in a value of 0.284196855.

The CONFIDENCE.T function calculates a confidence interval for a population mean using a Student's t distribution. It requires three arguments for calculation: alpha, standard_dev and size.

- The CONFIDENCE.T function produces a confidence interval for a population mean using a Student's t distribution.
- It requires three arguments: alpha, standard_dev, and size.
- Alpha is a value that indicates the probability that the confidence interval includes the true population mean.
- Standard_dev is the sample standard deviation.
- Size is the sample size.

The CONFIDENCE.T function is used to measure the confidence in a mean. It returns the confidence interval for a mean.

The CONFIDENCE.T function takes three arguments:

- alpha
- standard_dev
- samplesize

The arguments control how CONFIDENCE.T computes the confidence interval. Alpha is the significance level, standard_dev is the population standard deviation, and samplesize is the sample size.

The CONFIDENCE.T function returns a #VALUE! error if any argument is not numerical. It throws a #NUM! error if standard_dev is negative.