KRIGOLSON TEACHING
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      • Research Statistics
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Descriptive Statistics

Reading: Field, Chapters 1 to 3

Okay, if you do not know what the mean, median, and mode are... then you probably should not be taking this course. But just in case watch THIS.

The BIG concept to get here is VARIANCE. If you truly understand what variance is then you will be just fine with anything you do in statistics.

First, watch THIS video. Then this ONE. And then this ONE. And finally this ONE.

Once you have done that, there are a series of R scripts below to run. Play with them and figure out what I am trying to teach you with them.

1. What is Variance?

2. Sample Size and its Impact of Sample Means.

3. Sample Size and its Impact on the Variance of Sample Means.

4. Sample Size and Variance.

5. Another One on Sample Size and Variance.

6. Why Sample Size Matters When Comparing Two Means.

For each of these files, first of all figure out what it is doing. What does each line of code do. Then, play with some of the variables. Finally, what is the message or point that I am trying to tell you?

EXAM QUESTIONS
2.1 What is a normal distribution? What is skew? What is kurtosis?
2.2 What is central tendency? What are the mean, median, and mode?
2.3 What is mean by "The mean is a statistical model"? What are statistical models?
2.4 What is variance? What is standard deviation?
2.5 What is the difference between populations and samples?
2.6 What is the central limit theorem?
  • NEUROSCIENCE
    • NEUROSCIENCE 100 >
      • NEURO 100 INTRODUCTION
      • NEURO 101 ADVANCED
      • NEURO 102 AGING
      • NEURO 103 MEMORY
      • NEURO 104 DECISION MAKING
      • NEURO 105 LEARNING
      • Research Statistics
    • NRSC 500B / MEDS 470
  • Kinesiology
    • EPHE 245
    • EPHE 357
  • STATISTICS
    • BIOMEDICAL STATISTICS
    • MULTIVARIATE STATISTICS >
      • MULTIPLE REGRESSION
    • RESOURCES
    • R TIPS
  • MATLAB
    • THE BASICS >
      • Hello World
      • BASIC MATHEMATICS
      • VARIABLES
      • Matrices
      • Writing Scripts
      • PATHS AND DIRECTORIES
      • USER INPUT
      • FOR LOOPS
      • WHILE LOOPS
      • IF STATEMENTS
      • RANDOM NUMBERS
    • STATISTICS >
      • LOADING DATA
      • DESCRIPTIVE STATISTICS
      • MAKING FUNCTIONS
      • BAR GRAPHS
      • LINE GRAPHS
      • TTESTS
    • EXPERIMENTS: THE BASICS >
      • DRAWING A CIRCLE
      • DRAWING MULTIPLE OBJECTS
      • DRAWING TEXT
      • DRAWING AN IMAGE
      • PLAYING A TONE
      • KEYBOARD INPUT
      • BUILDING A TRIAL
      • BUILDING TRIALS
      • NESTED LOOPS
      • RIGHT OR WRONG
      • SAVING DATA
    • EXPERIMENTS: ADVANCED >
      • STROOP
      • N BACK
      • Oddball
      • Animation
      • VIDEO
    • EEG and ERP Analysis >
      • ERP Analysis
      • FFT Analysis
      • Wavelet Analysis
  • Directed Studies
    • Advanced Topics in Motor Control A
    • Advanced Topics in Motor Control B
    • An Introduction to EEG
    • Advanced EEG and ERP Methods
    • Neural Correlates of Human Reward Processing
    • Independent Research Project
  • RESOURCES
    • EXCEL
    • HOW TO READ A RESEARCH PAPER
    • HOW TO WRITE A RESEARCH PAPER
  • Workshops
    • Iowa State EEG Workshop 2018
  • Python
    • The Basics >
      • Setting Up Python
      • Hello, world!
      • Basic Math & Using Import
      • Variables
      • Matrices
      • Scripts
      • User Input
      • For Loops