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Numbers Don't Lie (But People Do): Introduction to (Ethical) Statistics
Conditional Remix & Share Permitted
CC BY-SA
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This resource was created for Introduction to Statistics students at the University of Maryland, and is designed to help you explore psychological theory, research, and practical applications of statistics. After completing this course in psychology, you will be able to:

- Explain how to use and interpret descriptive and inferential statistics in an ethically responsible way.
- Describe the difference between descriptive (central tendency, dispersion, correlation) and inferential statistics (single, multiple, logistic), and know when to use each.
- Demonstrate analytical skills by critiquing research and media claims.
- Apply statistical concepts and methods in a way that improves your own academic, personal, and professional life.

Each module is structured around key prompts - Learning Objective Questions - and followed by the links to articles, videos, and interactive demonstrations you will need to answer those questions. After studying the readings, videos, and presentations you should be able to answer the learning objective questions in detail without any notes in front of you. If you practice doing that regularly, you are well prepared for any assessment that your instructor can give you!

Subject:
Mathematics
Psychology
Social Science
Statistics and Probability
Material Type:
Full Course
Homework/Assignment
Textbook
Author:
Amanda Chicoli
Brian Kim
Tracy Tomlinson
Ben Jones
Date Added:
05/01/2024