## Definition

Calculates the right-tailed F probability distribution (degree of diversity) for two data sets with given input x. Alternately called Fisher-Snedecor distribution or Snedecor's F distribution.

#### Sample Usage

F.DIST.RT(15.35, 7, 6)

F.DIST.RT(A2, B2, C2)

#### Syntax

F.DIST.RT(x, degrees_freedom1, degrees_freedom2)

• x - The input to the F probability distribution function. The value at which to evaluate the function.

• Must be a positive number.

• degrees_freedom1 - The numerator of the number of degrees of freedom.

• degrees_freedom2 - The denominator of the number of degrees of freedom.

#### Notes

• Both degrees_freedom1 and degrees_freedom2 are truncated to an integer in the calculation if a non-integer is provided as an argument.

• Both degrees_freedom1 and degrees_freedom2 must be greater than 1 and may not exceed 10^10.

• All arguments must be numeric.

• F.DIST.RT is synonymous with FDIST.

FDIST: Calculates the right-tailed F probability distribution (degree of diversity) for two data sets with given input x. Alternately called Fisher-Snedecor distribution or Snedecor's F distribution.

F.DIST: Calculates the left-tailed F probability distribution (degree of diversity) for two data sets with given input x. Alternately called Fisher-Snedecor distribution or Snecdor's F distribution.

TDIST: Calculates the probability for Student's t-distribution with a given input (x).

#### Examples

In this example, suppose you want to determine whether the data for hours spent studying each week have different variability for engineering majors at University A than at University B. We will evaluate the curve of F Distribution when xequals 15.35, and use 7 and 6 for degrees_freedom1 and degrees_freedom2 respectively.