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  1. The Data Story Guide
  2. How to Find Insights in Data
  3. Strategies and Techniques for Finding Insights
  4. Statistical Inference
  5. Technical Assumptions of Tests of Statistical Significance

Technical Assumptions of Tests of Statistical Significance

  • Overview of Technical Assumptions of Tests of Statistical Significance
  • Null Hypothesis
  • Alpha (Significance Level or Cut-Off)
  • Data Collection Process
  • i.i.d.
  • Number of Comparisons
  • The Assumed Distribution(s)
  • The Absence of Other Information
  • Sample Size Assumptions of Statistical Tests
  • Additional Assumptions of ANOVA-based Multiple Comparison Procedures
  • Additional Assumptions of Dependent Samples Tests
  • Additional Assumptions of t-Tests Assuming Unequal Variance
  • Assumptions of t-Tests of Proportions
  • Additional Assumptions of Z-Tests of Means
  • Additional Assumptions of Z-Tests of Proportions

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