What are the best practices for statistical analysis?
Best practices include understanding your data, choosing the right statistical tests, and ensuring data quality.
How do I choose the right statistical test for my data?
Consider the type of data you have (categorical or continuous), the number of groups, and the assumptions of each test.
What should I do if my data has missing values?
You can either remove missing values, impute them using statistical methods, or use models that handle missing data.
Can you explain the importance of data visualization in statistical analysis?
Data visualization helps to identify patterns, trends, and outliers, making it easier to communicate findings.
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