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Statistics For Psychology: Pearson New International Edition

Statistics For Psychology: Pearson New International Edition

Statistics For Psychology: Pearson New International Edition

Welcome to the world of statistics for psychology with the Pearson New International Edition. This comprehensive textbook is designed to provide students with a solid foundation in statistical concepts and methods specifically tailored for the field of psychology. With a clear and concise writing style, this book covers all the essential topics such as descriptive statistics, probability, hypothesis testing, correlation, and regression analysis.

What sets this edition apart is its international focus, making it suitable for students from all over the world. The book also includes real-world examples and case studies to help students understand how statistics are applied in the field of psychology. Additionally, the book comes with online resources such as practice quizzes, interactive exercises, and data sets for hands-on learning.

Whether you are a beginner or an advanced student, this book is a valuable resource for mastering statistics in psychology. So, if you are looking for a comprehensive and up-to-date textbook that will help you excel in your studies, look no further than Statistics For Psychology: Pearson New International Edition.

SKU:9781292040295

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Table of Content

1. Displaying the Order in a Group of Numbers Using Tables and Graphs
2. Central Tendency and Variability
3. Some Key Ingredients for Inferential Statistics
4. Introduction to Hypothesis Testing
5. Hypothesis Tests with Means of Samples
6. Making Sense of Statistical Significance
7. Introduction to t Tests
8. The t Test for Independent Means
9. Introduction to the Analysis of Variance
10. Factorial Analysis of Variance
11. Correlation
12. Prediction
13. Chi-Square Tests
14. Overview of the Logic and Language of Psychology Research
15. Applying Statistical Methods in Your Own Research Project
16. Repeated Measures Analysis of Variance
17. Integration and the General Linear Model

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