Calculate the two-tailed inverse of the Student's t-distribution.

`TINV(probability,deg_freedom)`

- probability - the probability associated with the two-tailed Student's t-distribution
- degrees_freedom - [OPTIONAL] the number of degrees of freedom for a distribution

`=TINV(0.054645,60)`

The TINV function can be used to calculate the t-value of the Student's t-distribution for a given probability and degrees of freedom. For example, let's say you wanted to calculate the t-value for a probability of 0.054645 and 60 degrees of freedom. To do this you would use the preceding formula.

`=TINV(2.6,30)`

The TINV function can also be used to calculate the probability of a given t-value for a given degrees of freedom. For example, let's say you wanted to calculate the probability for a t-value of 2.6 and 30 degrees of freedom. To do this you would use the preceding formula.

`=TINV(0.95,30)`

The TINV function can be used to calculate the t-value for a given confidence interval. For example, let's say you wanted to find the t-value for a 95% confidence interval and 30 degrees of freedom. To do this you would use the formula above.

`=TINV(0.25,15)`

The TINV function can also be used to calculate the t-value for a given probability and degrees of freedom. For example, let's say you wanted to find the t-value for a probability of 0.25 and 15 degrees of freedom. To do this you would use the preceding formula.

The TINV function calculates the two-tailed inverse of the Student's t-distribution with improved accuracy and better named functions.

- The TINV function has been updated, providing improved accuracy and better names.

The TINV function is a statistical function used to calculate the two-tailed inverse of the Student's t-distribution.

The TINV function is used to determine the confidence level of a given statistic by calculating the probability of a given statistic falling within a certain range.

The TINV function can be used to improve accuracy when analyzing data and calculating confidence levels. It is also a useful tool for determining the probability of a given statistic falling within a certain range.

Yes, the new TINV functions may provide improved accuracy.

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