• Resources
  • Syllabus
  • Modules

Learning Modules

  • Getting Organized
  • Foundations
    1. Why Statistics is Important
    2. Foundational Definitions
    3. Data Production
  • Exploratory Data Analysis
    1. Univariate Summaries
    2. Univariate EDA
    3. Normal Distributions - Introduction
    4. Normal Distributions - Calculations
    5. Bivariate EDA - Quantitative
    6. Linear Regression
    7. Bivariate EDA - Categorical
  • Inference Theory
    1. Sampling Distributions
    2. Probability Introduction
    3. Hypothesis Testing - Introduction
    4. Hypothesis Testing - Errors
    5. Confidence Regions - Introduction
    6. Confidence Regions - Extension
  • Inference Methods
    1. 1-Sample Z-Test
    2. 1-Sample t-Test
    3. 2-Sample t-Test
    4. Chi-Square Test
    5. Goodness-of-Fit Test
  • Using R
    1. Getting Organized in RStudio
    2. Getting Data Into R
    3. Filtering Data in R
    4. Univariate EDA in R
    5. Bivariate EDA in R
    6. Linear Regression in R
    7. t-Tests in R
    8. Chi-square in R

Derek H. Ogle  •  2022  •  derekogle.com/NCMTH107/

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