Front Matter
Welcome to PSY 310
Mason Notes
How to use these notes
Attribution
Major Attributions
Additional Attributions
License
Colophon
I Module 00
Don’t Miss Module 00
0.1
Learning Goals for this Module (Chapter 0)
0.2
To-Do List
0.3
Course Modality
1
Knowledge is Power
1.1
Meet Prof. Mason
1.2
Website Tour
Guidance
1.3
Syllabus
1.4
Materials
1.4.1
Hardware
1.4.2
Required Texts
1.4.3
Software
II Module 06
2
Welcome to Probability
2.1
Basic Probability Concepts
2.1.1
What is probability?
2.1.2
The Probability Formula
2.2
Probability & Frequency Distributions
2.3
Probability in Normal Distributions
2.4
Considerations in understanding probability and inferential statistics: sampling
2.5
More Probability Terms
2.5.1
Statistical Independence
2.6
Recap
2.6.1
Learning objectives
2.6.2
Exercises
III Module 07
3
Welcome to Sampling and some more on probability
3.1
How are probability and statistics different?
3.2
What does probability mean?
3.2.1
The frequentist view
3.2.2
The Bayesian view
3.2.3
What’s the difference? And who is right?
3.3
Basic probability theory
3.3.1
Introducing probability distributions
3.4
The binomial distribution
3.4.1
Introducing the binomial
3.4.2
Working with the binomial distribution in R
3.5
The normal distribution
3.5.1
Probability density
3.6
Other useful distributions
3.7
Summary
IV Other Coolness
4
Good Resources
5
Media without a home yet
5.1
Visualizing Linear Models: An R Bag of Tricks
5.2
For new programmers learning keyboard shortcuts…
5.3
Are you a student? If yes, this is the best data science project for you!
5.4
rstudio is magic
5.5
automation quote
5.6
How computer memory works!
5.7
Is Coding a Math Skill or a Language Skill? Neither? Both?
5.8
Quantum Computers Explained!
5.9
The Rise of the Machines – Why Automation is Different this Time
5.10
Who Would Be King of America if George Washington had been made a monarch?
5.11
Emergence – How Stupid Things Become Smart Together
5.12
The Birthday Paradox
5.13
Why can’t you divide by zero?
5.14
Yea he’s chewing up my stats homework but that face though…
5.15
Coding Kitty
5.16
Democratic databases: science on GitHub
5.17
Ten simple rules for getting started on Twitter as a scientist
5.18
NYT data ethics stuff
5.19
References
License: CC-BY-SA
Psychology Research Methods
References