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  1. Beginner: Using R and Data in Applied Econometrics
  2. Hypothesis Testing
  • Learn by Skill Level


  • Getting Started: Introduction to Data, R, and Econometrics
    • Intro to JupyterNotebooks
    • Intro to R
    • Intro to Data (Part 1)
    • Intro to Data (Part 2)

  • Beginner: Using R and Data in Applied Econometrics
    • Introduction to Statistics I
    • Introduction to Statistics II
    • Central Tendency
    • Dispersion and Dependence
    • Confidence Intervals
    • Hypothesis Testing
    • Data Visualization I
    • Data Visualization II
    • Distributions
    • Sampling Distributions
    • Simple Regression

  • Intermediate: Econometrics and Modeling Using R
    • Simple Regression
    • Multiple Regression
    • Issues in Regression
    • Interactions

    • Geographic Computation
    • Chi-Square Test
    • t-test
    • ANOVA
    • Regression
    • Wrangling and Visualizing Data

  • Advanced Modules
    • Classification and Clustering
    • Differences In Differences
    • Geospatial I
    • Geospatial II
    • Instrumental Variables I
    • Instrumental Variables II
    • Large Language Model APIs (Python)
    • Linear Differencing
    • Training LLMS
    • Sentiment Analysis Using LLMs (Python)
    • Transcription (Python)
    • Vocalization (Python)
    • Word Embeddings (Python)
    • Word Embeddings (R)
    • Panel Data
    • Synthetic Controls

1.4.2 - Beginner - Hypothesis Testing

econ 325
econ 226
econ 227. confidence intervals
hypothesis testing
t-test
type-I error
type-II error
p-value
R
beginner
significance level
critical value
What is a hypothesis? How do we test it? This notebook introduces hypothesis testing in two different ways, outlining the connection between them and how we can use this technique to answer economic questions.
Published

12 January 2023

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Confidence Intervals
Data Visualization I
  • Creative Commons License. See details.
 

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