Exponential distribution is a function of probability theory and statistics. This kind of distribution deals with continuous probability distributions and is part of the continuous analogue of the geometric distribution in math.
Exponential functions are typically considered continuous because they are defined for all real numbers and have a smooth curve. However, they can also be represented in a discrete form when evaluated at specific intervals or points, such as in the context of discrete-time models. In such cases, the function takes on values at discrete points rather than over a continuous range. Thus, while exponential functions are inherently continuous, they can be adapted to discrete scenarios.
Every function differs from every other function. Otherwise they would not be different functions!
Continuous
input
fist disply your anser
That's true. If a function is continuous, it's (Riemman) integrable, but the converse is not true.
Exponential distribution is a function of probability theory and statistics. This kind of distribution deals with continuous probability distributions and is part of the continuous analogue of the geometric distribution in math.
Every function differs from every other function. Otherwise they would not be different functions!
Continuous
A __________ function takes the exponential function's output and returns the exponential function's input.
yes, every continuous function is integrable.
The parent function of the exponential function is ax
No. The inverse of an exponential function is a logarithmic function.
No. y = 1/x is continuous but unbounded.
input
output