In statistics, when we say there is a significant difference between two groups or variables, it means that the observed difference is unlikely due to chance alone. It suggests that there is likely a real effect or relationship between the variables being compared.
Consider a significant difference like finding a diamond in a pile of rocks. It stands out and is not just a random occurrence. Similarly, when there is a significant difference in research findings, it indicates something noteworthy and meaningful.
Null Hypothesis: The assumption that there is no significant difference or relationship between variables.
Effect Size: A measure that quantifies the strength or magnitude of the observed difference between groups.
Type I Error: Mistakenly concluding that there is a significant difference when, in reality, there is none (false positive).
Study guides for the entire semester
200k practice questions
Glossary of 50k key terms - memorize important vocab
© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.