What is Statistical Inference?

Statistical inference lets us use data from a sample to make conclusions about a larger group (the population).

Key Concepts

• Population: The whole group you want to learn about.
• Sample: A smaller group selected from the population.
• Confidence Intervals: A range of values that likely includes the true answer.
• Hypothesis Testing: Deciding if your results are likely real or just due to chance.

Why is this Important?

We often can't measure an entire population, so we rely on statistical inference to make smart guesses based on samples.

Real-World Use

Doctors use samples to test new medicines, and pollsters use surveys to predict election results.