Inferential Statistics
Definition
Inferential statistics involves using sample data to make inferences or draw conclusions about a population.
Analogy
Imagine you want to know how much pizza each student at your school eats on average. Instead of asking every student individually, you can randomly select some students, ask them about their pizza consumption, and use that information to estimate the average pizza consumption for all students.
Related terms
Hypothesis Testing: Hypothesis testing is used in inferential statistics to determine if there is enough evidence to support or reject a claim about a population parameter.
Confidence Interval: A confidence interval provides an estimated range of values which is likely to contain the true population parameter with a certain level of confidence.
Sampling Error: Sampling error refers to the difference between sample statistics and population parameters due to random sampling variability.
"Inferential Statistics" appears in:
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Practice Questions (2)
- When selecting a procedure for inferential statistics, what is generally the first question you should ask?
- What is the primary purpose of inferential statistics?
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