# TDIST

## Definition

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

### Sample Usage

`TDIST(A2, 30, 1)`

`TDIST(0.5, 1, 2)`

### Syntax

`TDIST(x, degrees_freedom, tails)`

• `x` - The input to the t-distribution function.
• `degrees_freedom` - The number of degrees of freedom.
• `tails` - Specifies whether the calculated distribution will be one- or two-sided. (1 for one-tailed distributions, 2 for two-tailed distributions).

`NOMDIST`: Returns the value of the normal distribution function (or normal cumulative distribution function) for a specified value, mean, and standard deviation.

`BINOMDIST`: Calculates the probability of drawing a certain number of successes (or a maximum number of successes) in a certain number of tries given a population of a certain size containing a certain number of successes, with replacement of draws.

`EXPONDIST`: Returns the value of the exponential distribution function with a specified lambda at a specified value.

`NEGBINOMDIST`: Calculates the probability of drawing a certain number of failures before a certain number of successes given a probability of success in independent trials.

`PROB`: Given a set of values and corresponding probabilities, calculates the probability that a value chosen at random falls between two limits.

#### By adding the values you would like to calculate the TDIST formula for, Excellentable will generate the outcome:

A
B
1
Student
Value at which to evaluate the t-distribution
2
Tom
1
3
Bob
1.959999998
4
Peter
1.54
5
John
1.63
6
Steve
1.87
7
Dan
1.5
8
Brendon
2
9
10
 One-tailed distribution:
0.027322465
11
12
 Two-tailed distribution:
0.05464493
C
1
The number of degrees of freedom with which to characterize the distribution.
2
30
3
60
4
40
5
50
6
20
7
10
8
50
9
10
11
12

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