T.DIST.2T

Formulas / T.DIST.2T
Compute the two-tailed Student's t-distribution.
`T.DIST.2T(x, deg_freedom)`
• x - required, numeric value to evaluate the distribution on
• deg_freedom - required, integer that indicates the number of degrees of freedom

Examples

• `=T.DIST.2T(A2,A3)`

The T.DIST.2T function returns the two-tailed probability associated with two given values. For example, this will return the two-tailed probability associated with a mean of 5.46 percent and a standard deviation of 0.054645.

• `=T.DIST.2T(A2,A3)`

The T.DIST.2T function can also be used to calculate the value at which the distribution is evaluated, rather than simply the probability. For example, this will return the value (1.959999998) at which the two-tailed distribution is evaluated.

Summary

The T.DIST.2T function is used to calculate the two-tailed student's t-distribution, which is used to analyze small sample data sets.

• The T.DIST.2T function returns the two-tailed Student's t-distribution, which is used to test hypotheses in small sample data sets.

Q: What is the T.DIST.2T function?
A: The T.DIST.2T function returns the two-tailed Student's t-distribution.
Q: What is the two-tailed Student's t-distribution used for?
A: The two-tailed Student's t-distribution is used to test hypotheses in small sample data sets.
Q: What are the benefits of using the two-tailed Student's t-distribution?
• It provides a more accurate measure of statistical significance for small sample sizes.
• It is easier to interpret than alternatives like chi-square tests.
• It can be used to compare two independent samples.
Q: What are some limitations of the two-tailed Student's t-distribution?
• It is not suitable for testing large sample sizes.
• It assumes that the data is normally distributed.
• It cannot be used to compare more than two independent samples.