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Descriptive and Inferential Statistics: Understanding Key Concepts and Interpreting Graphs, Exercises of Cognitive Psychology

This chapter covers the fundamentals of descriptive and inferential statistics, explaining their importance in data analysis. Learn about three common descriptive statistics, the role of inferential statistics, significance level, practical vs. Statistical significance, and the logic behind anova. Interpret the given graph to identify significant main effects and interactions.

Typology: Exercises

2011/2012

Uploaded on 11/21/2012

ashakiran
ashakiran 🇮🇳

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Download Descriptive and Inferential Statistics: Understanding Key Concepts and Interpreting Graphs and more Exercises Cognitive Psychology in PDF only on Docsity! Chapter 12 What are descriptive statistics? Why are they helpful? Define three commonly used descriptive statistics. What are inferential statistics? Why are they helpful? Give an example. What is significance level? Why does it matter? What is the difference between statistical significance and practical significance? What is the basic logic underlying ANOVA? What are main effects and interactions? Here is a graph. Identify the main effects and interactions that look significant. Docsity.com
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