Where did that come from?--Identifying the source of a sample

Area of Science:

• Cognitive Psychology
• Statistical Inference
• Decision Making

Background:

• Human ability to summarize numerical data is well-researched.
• Real-world scenarios often demand inferring data-generating processes, not just summaries.
• Previous experience with variables influences distributional inference.

Purpose of the Study:

• Investigate human inference of continuous data distributions.
• Assess the impact of prior experience on distributional inference.
• Test cognitive models of distributional inference, including the Naïve Sampling Model.

Main Methods:

• Participants inferred distributions from continuous data samples.
• Exposure to prior instances of the variable was manipulated.
• Performance was evaluated against predictions from cognitive models.

Main Results:

• People demonstrate efficient intuitive statistical inference.
• As few as four observations enable successful distribution identification.
• Inference processes leverage both experienced and sampled data properties.

Conclusions:

• Individuals act as flexible intuitive statisticians.
• The Naïve Sampling Model accurately describes the cognitive process of distributional inference.
• Prior experience enhances the ability to infer data-generating distributions.