The **T Distribution** also known as the student’s t-distribution. It is widely used while making any sort of assumption about a mean when we do not know the standard deviation.

In the field of probability and statistics, the normal distribution can be identified as a bell-shaped distribution, whose arithmetic **mean is μ and the standard deviation is σ.**

The t-distribution is quite similar to the normal distribution system just a little **flatter and shorter** than any normal distribution. It is designed to discuss what is t-distribution, formula, table, properties, and applications.

The t-distribution is a usual hypothetical probability distribution algorithm. It is also called the student’s t-distribution and is used to make presumptions about a mean when the standard deviation is not known to problem solvers.

It is also a symmetrical, bell-shaped distribution and very similar to the standard normal curve. As it goes high on the degrees of freedom (df), the closer this distribution will approximate a standard normal distribution with an arithmetic mean of 0 and a standard deviation of 1.

A t-distribution is a whole set of t values that are measured for every possible random sample for a specific given sample size or a particular degree of freedom (dof).