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Data Analysis and Statistical Inference

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Data Analysis

Welcome to Data Analysis and Statistical Inference, please click the tutorial from the link below:

  • Introduction to Data
    • Data Basics
    • Observational studies and experiments, sampling and source bias
    • Experimental Design and Random Sample Assignment
    • Visualizing Numerical Data
    • Visualizing Categorical Data
    • Measure of Center
    • Measure of Spread
    • Robust Statistics
    • Data Transformation
    • Introduction to Inference
  • Probability and Distribution
    • Disjoint Events, Non-disjoint Events and Sample Space
    • Independence
    • Disjoint vs. Independence
    • Conditional Probability
    • Probability Tree
    • Bayesian Inference
    • Normal Distribution
      • Working with the Normal Distribution
      • Standardized score - Z score
      • Percentile
      • Evaluating the Normal Distribution
    • Binomial Distribution
      • Standard Deviation of Binomial Distribution
      • Normal Approximation to Binomial
      • Working with the Binomial Distribution
  • Introduction to inference
    • Sampling Distribution
    • Central Limit Theorem
      • Why 10% and Sample Size/Skew
      • Working with the Central Limit Theorem
    • Confidence Interval
      • Confidence Interval for a Population Mean
    • Accuracy vs. Precision
    • Required sample size for magin error

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