This unit will focus on discrete random variables and their probability distributions. We will make use of the knowledge of organizing data and knowledge of probability to describe how an experiment is expected to behave. With probability distributions, instead of describing what actually did happen, we will describe what will probably happen. This unit is important since the very core of inferential statistics are based on some knowledge of probability distributions. Take your time to study this unit really well!
Discrete random variable
What is a discrete random variable? What is a random variable? What are some concrete examples of discrete random variables?
Probability distribution of a discrete random variable
Using a table to display the probability distribution of a discrete random variable and its characteristics.
Mean of a discrete random variable
Using a probability distribution table, learn to find the mean of a discrete random variable.
Standard deviation of a discrete random variable
Using a probability distribution table, learn to find the standard deviation of a discrete random variable.
Definition of factorial
Learn to evaluate the factorial of a number using the formal definition of a factorial
Find the number of combinations
Learn to find the number of combinations using the combinations formula.
Examples of binomial experiments
Find out what a binomial experiment is with some concrete examples
Poisson probability distribution
Definition, formula, and concrete examples of the Poisson probability distribution.
Sep 24, 21 03:39 AM
What is the additive inverse of a complex number? Definition and examples