Central to inferential statistics because we are basing a conclusion about a population on data collected from a sample
Confirmation bias
Our usually unintentional tendency to pay attention to evidence that confirms what we already believe and to ignore evidence that would disconfirm our beliefs
Illusory correlation
The phenomenon of believing one sees an association between variables when no such association exists
Confirmation bias and illusory correlation
Play a role in conspiracy theories
How conspiracy theories develop
1. Illusory correlation (belief that there is an association where none exists)
2. Confirmation bias (increased attention to evidence that confirms what we already believe, combined with a failure to notice evidence that contradicts our beliefs)
Illusory correlation and confirmation bias explain why developing the habit of statistical reasoning can help save us from ourselves
Personal probability
The likelihood of an event occurring based on an individual's opinion or judgment; also called subjective probability
Probability
The likelihood that a particular outcome will occur out of all possible outcomes
Expected relative-frequency probability
The likelihood of an event occurring based on the actual outcome of many, many trials
Expected relative-frequency probability
When flipping a coin, the expected relative-frequency probability of heads, in the long run, is 0.50
Trial
Each occasion that a given procedure is carried out
Outcome
The result of a trial
Success
The outcome for which we're trying to determine the probability
Determining probabilities
Conduct many trials, record the outcomes, and determine the proportion of successes
Probability
The proportion that we expect to see in the long run
Proportion
The number of successes divided by the number of trials
The proportion might not reflect the underlying probability
Percentage
Probability or proportion multiplied by 100
Independence
The outcome of each trial must not depend in any way on the outcome of previous trials
In research, each participant must be independent of every other participant, or our sample might be biased