Making Inferences from Data

This lesson teaches how to make inferences by observing data. It begins with defining inferences and uses examples like sports teams, lawn care, income histograms, and geyser eruptions to illustrate how observations and prior knowledge lead to inferences. The lesson emphasizes that inferences are not always correct but should be based on observations. It concludes by reinforcing the definition of an inference as a statement derived from observations and prior knowledge.

What factors should be considered when making inferences about having a nice lawn?

Based on the box plot, what can be inferred about the wait time for Old Faithful to erupt?