Sitemap

• Introduction
  • Metacognition
• 6050 & 6052
  • Preliminaries
    • Role of Biostatistics
    • The Big Picture
    • What is Data?
    • Types of Variables
  • Unit 1: Exploratory Data Analysis
    • One Categorical Variable
    • One Quantitative Variable
      • Histograms & Stemplots
      • Describing Distributions
      • Measures of Center
      • Measures of Spread
      • Measures of Position
      • Outliers
      • Boxplots
      • The “Normal” Shape
    • Role-Type Classification
    • Case C-Q
    • Case C-C
    • Case Q-Q
      • Scatterplots
      • Linear Relationships – Correlation
      • Linear Relationships – Linear Regression
    • Causation
    • Summary (Unit 1)
  • Unit 2: Producing Data
    • Sampling
    • Designing Studies
    • Causation and Observational Studies
    • Causation and Experiments
      • More About Experiments
    • Sample Surveys
    • Summary (Unit 2)
  • Unit 3A: Probability
    • Introduction to Probability
    • Basic Probability Rules
    • Conditional Probability and Independence
    • Summary (Unit 3A)
  • Unit 3B: Random Variables
    • Discrete Random Variables
    • Binomial Random Variables
    • Continuous Random Variables
    • Normal Random Variables
      • Standard Normal Distribution
      • Normal Applications
    • Summary (Unit 3B – Random Variables)
  • Unit 3B: Sampling Distributions
    • Sampling Distribution of the Sample Proportion, p-hat
    • Sampling Distribution of the Sample Mean, x-bar
    • Summary (Unit 3B – Sampling Distributions)
  • Unit 4A: Introduction to Statistical Inference
    • Estimation
      • Population Means (Part 1)
      • Population Means (Part 2)
      • Population Means (Part 3)
      • Population Means (Summary)
      • Population Proportions
      • Wrap-Up (Estimation)
    • Hypothesis Testing
      • Steps in Hypothesis Testing
      • Errors and Power
      • Proportions (Introduction & Step 1)
      • Proportions (Step 2)
      • Proportions (Step 3)
      • Proportions (Step 4 & Summary)
      • More about Hypothesis Testing
      • Means (All Steps)
    • Wrap-Up (Inference for One Variable)
  • Unit 4B: Inference for Relationships
    • Case C→Q
      • Paired Samples
      • Two Independent Samples
      • k > 2 Independent Samples
      • Details for Non-Parametric Alternatives in Case C-Q
      • Wrap-Up (Case C-Q)
    • Case C→C
    • Case Q→Q
    • Wrap-Up (Inference for Relationships)
• Software
  • SAS (All Courses)
    • PHC 6052: SAS Tutorials
  • SPSS (PHC 6050)
  • R
• Calculators & Tables
• Sitemap