How to check normality of data?
Understand the Problem
The question is asking for methods or techniques to determine if a dataset follows a normal distribution. This involves statistical tests and visual assessments to analyze the characteristics of the data.
Answer
Use histogram, Q-Q plot, Shapiro-Wilk, or Kolmogorov-Smirnov tests.
Check normality using graphical methods like a histogram or Q-Q plot and numerical methods such as the Shapiro-Wilk or Kolmogorov-Smirnov tests.
Answer for screen readers
Check normality using graphical methods like a histogram or Q-Q plot and numerical methods such as the Shapiro-Wilk or Kolmogorov-Smirnov tests.
More Information
The Shapiro-Wilk test is more powerful for small sample sizes, while the Kolmogorov-Smirnov test is more robust for larger samples. However, graphical methods offer a quick initial inspection.
Tips
Avoid relying solely on numerical tests, especially for small data sets. Graphical inspections can provide additional context and help avoid misleading conclusions.
Sources
- Descriptive Statistics and Normality Tests for Statistical Data - NCBI - ncbi.nlm.nih.gov
- How do I know if my data have a normal distribution? - FAQ 2185 - graphpad.com
- Testing for Normality using SPSS Statistics - statistics.laerd.com
