Statistical Analysis for Research involves the application of statistical methods and techniques to analyze research data, test hypotheses, and draw meaningful conclusions from empirical studies.

Common research statistics include:

• Descriptive Statistics: Mean, median, standard deviation, distributions
• Inferential Statistics: Hypothesis testing, confidence intervals, p-values
• Correlation Analysis: Measuring relationships between variables
• Regression Analysis: Modeling relationships and making predictions
• ANOVA: Comparing means across multiple groups
• Non-parametric Tests: Methods for non-normally distributed data

Research statistical analysis helps validate findings, determine significance, control for confounding variables, and ensure reproducibility. It's essential for academic research, clinical trials, market research, and evidence-based decision making.