## How do you use CONFIDENCE.T in Google Sheets?

CONFIDENCE.T is a function in Google Sheets that calculates the confidence interval for a population mean. The function takes three arguments: the mean, the standard deviation, and the sample size. The confidence interval is a range of values that estimates the population mean with a given level of confidence. The function returns a value between 0 and 1, where 1 indicates perfect confidence and 0 indicates no confidence.

## What is the syntax of CONFIDENCE.T in Google Sheets?

The syntax of CONFIDENCE.T in Google Sheets is as follows:

=CONFIDENCE.T(x,mean,standard_deviation,n)

Where "x" is the input data, "mean" is the mean of the input data, "standard_deviation" is the standard deviation of the input data, and "n" is the number of input data points.

## What is an example of how to use CONFIDENCE.T in Google Sheets?

One example of how to use CONFIDENCE.T in Google Sheets is to calculate the confidence interval for a population mean. To do this, you would first need to enter the population mean and standard deviation into cells A1 and B1, respectively. Next, you would use the function =CONFIDENCE.T(B1,A1,0.95) in cell C1 to calculate the 95% confidence interval. This function will return the lower and upper bounds of the confidence interval.

## When should you not use CONFIDENCE.T in Google Sheets?

There are a few occasions when you should avoid using CONFIDENCE.T in Google Sheets. For example, if you are working with a small data set, CONFIDENCE.T may not give accurate results. Additionally, if you are trying to calculate the confidence interval for a population proportion, you should use a different function, such as Z.T.

## What are some similar formulae to CONFIDENCE.T in Google Sheets?

There are a few similar formulae to CONFIDENCE.T in Google Sheets. The most similar is probably the NORM.DIST function, which calculates the normal distribution for a given set of data. The function takes two arguments: the first is the mean of the data, and the second is the standard deviation. The function will return the probability that a given value falls within a given range. Another similar function is the Z.TEST function, which calculates the two-tailed probability of a Student's t-distribution. The function takes two arguments: the first is the observed value, and the second is the theoretical value. The function will return the probability of getting a value as or more extreme than the observed value, in either direction.