3  NURS 60N

This “chapter” contains links to the presentations and materials covered in the first course of this curriculum, NURS 60N. The links that open the lectures in new windows will make it easier to navigate the slides independent of also navigating the sections of this companion; unfortunately, these “open in new window” links don’t work in the .pdf version.

3.1 Common Statistical Concepts and Tests

• Lecture:
  Understanding Commonly-Reported Statistics
  • Open lecture in new browser window
• This is a lecture created for the graduate- and doctoral-level research courses I teach. It covers:
  • Definitions of Populations & Samples
  • Common Descriptive
    • Central tendency & dispersion
    • Correlations
  • Common Inferential Concepts & Statistics
    • Hypothesis Testing
    • Signal-to-Noise Ratio
    • Effect Size
    • Common Inferential Tests
      • χ²
      • t & F

3.2 Randomness & Variables, Samples & Populations, Descriptive & Inferential Statistics

• Lecture:
  Some Major Principles in Biostatistics: Random Variables, Samples, & Types of Statistics
  • Open lecture in new browser window

3.3 Distributions

• Lecture:
  The Normal and χ² Distributions

3.4 Central Limit Theorem & Confidence Intervals

• Lecture:
  

3.5 Levels of Measurement and Counts, Frequencies, & Odds

• Lecture:
  Levels of Measurement, Probabilities, Odds & Odds Ratios

3.6 Hypothesis Testing

• Lecture:
  Hypothesis Testing

3.7 Association & Causation

• Lecture:
  Association & Causation

3.8 Linear Relaionships

• Lecture:
  

3.9 Statistical Power

• Lecture:
  Statistical Power

3.10 Introduction to ANOVAs

• Lecture:
  The ANOVA Family of Analyses

3.11 ANOVAs: Main effects & Interactions

• Lecture:
  

3.12 R² & η², Different Types of ANOVAs, & Other Types of Linear Models

• Lecture: