• Data Science Foundations
  • I PREFACE
  • Welcome to the General Data Science – Statistical Analysis (STATS) Layer
    • 📘 What You’ll Learn
  • II STATISTICAL ANALYSIS
  • 1 What are summary statistics and how do you compute them?
    • 1.1 Explanation
    • 1.2 Python Code
    • 1.3 R Code
  • 2 How do you test if the mean of two groups is significantly different?
    • 2.1 Explanation
    • 2.2 Python Code
    • 2.3 R Code
  • 3 How do you compute the correlation between two variables?
    • 3.1 Explanation
    • 3.2 Python Code
    • 3.3 R Code
  • 4 What is a confidence interval and how do you calculate it?
    • 4.1 Explanation
    • 4.2 Python Code
    • 4.3 R Code
  • 5 How do you perform a one-way ANOVA?
    • 5.1 Explanation
    • 5.2 Python Code
    • 5.3 R Code
  • 6 How do you interpret a p-value in hypothesis testing?
    • 6.1 Explanation
    • 6.2 Python Code
    • 6.3 R Code
  • 7 What are summary statistics and how do you compute them?
    • 7.1 Explanation
    • 7.2 Python Code
    • 7.3 R Code
  • 8 How do you test if the mean of two groups is significantly different?
    • 8.1 Explanation
    • 8.2 R Code
  • 9 How do you compute the correlation between two variables?
    • 9.1 Explanation
    • 9.2 R Code
  • 10 What is a confidence interval and how do you calculate it?
    • 10.1 Explanation
    • 10.2 R Code
  • 11 How do you use a chi-squared test to determine if two categorical variables are independent?
    • 11.1 Explanation
    • 11.2 Python Code
    • 11.3 R Code
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Statistical Analysis & Hypothesis Testing

Statistical Analysis & Hypothesis Testing


Last updated: July 06, 2025