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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.

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.

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.

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.

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.

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