• Define Research Objectives
  • Identify the Type of Data (Quantitative or Qualitative)
  • Choose an Appropriate Statistical Method
  • Collect Data Accurately
  • Perform Data Cleaning and Preparation
  • Conduct Descriptive Statistics (Mean, Median, Standard Deviation)
  • Apply Inferential Statistics (Hypothesis Testing, Regression, ANOVA)
  • Use Statistical Software (SPSS, R, Python, Excel)
  • Interpret Results in Context of Research Questions
  • Validate Findings and Check for Errors
  • Represent Data Visually (Graphs, Charts, Tables)
  • Report and Discuss Statistical Findings Clearly
  • Ensure Ethical Considerations in Data Analysis
  • Avoid Misinterpretation of Results
  • Seek Expert Guidance if Needed