## What do you mean by random process explain?

Random Process. • A random process is a time-varying function that assigns the outcome of a random experiment to each time instant: X(t). • For a fixed (sample path): a random process is a time varying function, e.g., a signal.

## What are the 4 types of random processes?

Random process

- Introduction.
- Deterministic And Non-Deterministic Random Process.
- Stationary And Non Stationary Processes.
- Ergodic and Nonergodic Random Processes.

**What are the types of random processes?**

Discrete Random Process: Quantized voltage in a circuit over time. Continuous Random Sequence: Sampled voltage in a circuit over time. Discrete Random Sequence: Sampled and quantized voltage from a circuit over time.

### What is the difference between a random variable and random process?

A random variable is a variable which can take different values and the values that it takes depends on some probability distribution rather than a deterministic rule. A random process is a process which can be in a number of different states and the transition from one state to another is random.

### What is difference between random sequence and random process?

We usually define X(tn)=X(n) or X(tn)=Xn, for n=1,2,⋯, (the index values n could be from any countable set such as N or Z). Therefore, a discrete-time random process is just a sequence of random variables. For this reason, discrete-time random processes are sometimes referred to as random sequences.

**How do you differentiate between a random variable and a random process?**

## What is a random experiment in probability?

Definition : A random experiment is an experiment or a process for which the outcome cannot be predicted with certainty. Definition : The sample space (denoted S) of a random experiment is the set of all possible outcomes.

## When can a random process is said to be an ergodic process?

A random process is said to be ergodic if the time averages of the process tend to the appropriate ensemble averages. This definition implies that with probability 1, any ensemble average of {X(t)} can be determined from a single sample function of {X(t)}.

**What do you call the result of a random experiment?**

1 Random Experiments. In particular, a random experiment is a process by which we observe something uncertain. After the experiment, the result of the random experiment is known. An outcome is a result of a random experiment. The set of all possible outcomes is called the sample space.

### Are the outcomes of a random experiment equally likely?

All the possible results of the random experiment are called outcomes. If chances of occurrence of all the outcomes are equal then they are termed as Equally Likely Outcomes. The set of all outcomes is called Sample Space, denoted by \begin{align*}S\end{align*}.