Statistics and Probability | Introduction
is the science of collecting, organizing, presenting, analyzing, and interpreting data
statistics
primarily a theoretical branch of mathematics which studies the consequences
probability
is the activity in which the results cannot be predicted with certainty
experiment
is a result in an experiment
outcome
is any collection of outcomes
event
a given experiment is a set that contains all possible outcomes of the experiment
sample space
is a tool that helps calculate the number of possible outcomes of an event or problem
tree diagram
is a result of chance event, that you can measure or count
random variable
it has countable (finite) number of possible values
discrete random variable
it has assumes an infinite number of values in one or more intervals
continuous random variable
consists of the values a random variable can assume and the corresponding probabilities
discrete probability distribution
the mean (μ) of a discrete random variable is the central value or average of its corresponding probability mass function. it is also called as the expected value
mean of a discrete random variable
the variance and standard deviation are two values that describe how scattered or spread out the scores are from the mean value of the random variable
variance and standard deviation of a discrete random variable