Terms Flashcards
Sample space:
Is the collection of all possible outcomes of the experiment and is denoted by S
Simple event
Is an event that consists of exactly one outcome
Compound event:
Is an event that consist of more than one outcome
Event space:
The collection of outcomes that correspond to the event of interest and is denoted by A
Theoretical probability:
When all the outcomes of an event are equally likely, the probability is the ratio of the number of outcomes that make up that event the total number of possible outcomes
Random variable:
A quantity that can have a range of values designated as X, with individual values as x
Discrete random variable:
A variable that can only have certain values within a given range, such as the sum of two dice. Must be countable
Continuous random variable:
A variable that could have an infinite number of possible values within a given range, often measurements such as volume or time
Population:
A group of individuals that is the focus of study
Sample:
A selection of individuals taken from a population
Census:
Information gathered about an entire population
Cross-sectional study:
A study that considers individuals from different groups at the same time
Longitudinal study:
A study that considers individuals over a long period of time
Quantitative variable:
Variables that can be measured numerically
Qualitative:
Variables that cannot be measured numerically
Discrete data:
Data that can be described using whole numbers (a count)
Continuous data:
Data only measurable with real numbers (measure of quantity)
Inference:
A conclusion about the population that is made from the sample
Simple random sampling
All selections are equally likely
Systematic random sampling
The starting point is randomly chosen; and the every nth individual is chosen
Stratified random sampling
Population is divided into groups called strata (geographic, age, etc)
A simple random sampling of the members of each strata
Cluster random sampling
Population divided into groups
a random sample of groups has chosen
all members of the chosen groups are surveyed
Multistage random sampling
Population survey into groups
a random sample of groups is chosen
a random sample of members from the chosen groups are taken
Destructive sampling
Samples, however chosen, are eventually destroyed