Lecture 8 Flashcards
What is a variable?
Any quantity that can be measured
What is the Central Tendency?
What is the typical value of a variable
What is dispersion?
How far from the typical value are the individual observations of a variable?
What is association?
How does a variable relate to another variable
What is descriptive statistics?
How can we summarise and represent the data to understand it?
What are the key measures for descriptive statistics?
Central Tendency, Dispersion, Association
What are inferential statistics used for?
To make predictions about parameters (characteristics) of the population
What is a parameter?
Characteristics
What are two factors inferential statistics are based on?
Statistics computed from the sample and the likelihood that the sample is representative of the population
What’s probability
What is the chance that a particular event will occur?
What’s sampling distributions?
What is the probability that we obtain
the parameters observed in our sample?
What’s hypotheses testing?
Does the data support our beliefs about the population?
What are the key concepts associated with inferential statistics?
Probability, sampling distributions and hypotheses testing
What’s a statistic?
A number computed from the sample data to estimate a parameter.
What’s a sample?
A subset of the population for which data has been collected.
