4  NURS 60N: Foundations of Biostatistics for Nursing Research and Evidence-Based Practice

This “chapter” contains links to the presentations and materials covered in the first course of this curriculum, NURS 60N.

4.1 Common Statistical Concepts and Tests

  • Slides

  • This is a lecture created for the graduate- and doctoral-level research courses I teach—not the statistics sequence. Nonetheless, it may prove useful to cover these topics:

    • 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

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

  • Slides

  • This presentation covers:

    • Randomness & Variance
    • Samples vs. Populations
    • Descriptive & Inferential Statistics
      • Parametric vs. Non-Parametric Analyses

  • Related to it is this online Demonstration of the Central Limit Theorem

4.3 The Normal and χ² Distributions

4.4 Central Limit Theorem & Confidence Intervals

4.5 Levels of Measurement and Counts, Frequencies, & Odds

4.6 Hypothesis Testing

4.7 Association & Causation

4.8 Linear Relationships

4.9 Power and Effect Size

  • Slides

  • Recording

    • This is a Zoom recording from a previous semester. Please note that this recording doesn’t include effect sizes

  • This presentation covers:

    • A review of hypothesis testing
    • Statistical power
    • Effect size

4.10 Introduction to ANOVAs

4.11 ANOVAs: Main effects & Interactions

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