SOFTWARE USED FOR STATISTICAL ANALYSIS

SOFTWARE USED FOR STATISTICAL ANALYSIS

1. MICROSOFT EXCEL
🔹 Widely used and easily accessible spreadsheet software.
🔹 Provides basic statistical functions like mean, median, mode, standard deviation, correlation, t-tests, etc.
🔹 Useful for data entry, table preparation, graph generation, and basic analysis.
🔹 User-friendly and suitable for beginners.

2. SPSS (STATISTICAL PACKAGE FOR THE SOCIAL SCIENCES)
🔹 User-friendly software for advanced statistical analysis.
🔹 Suitable for both descriptive and inferential statistics.
🔹 Commonly used in health and social sciences research.
🔹 Offers point-and-click interface and syntax-based analysis.
🔹 Can handle large datasets efficiently.

3. R SOFTWARE
🔹 Open-source programming language for statistical computing and graphics.
🔹 Supports a wide range of statistical techniques like linear and nonlinear modeling, time-series, classification, clustering, etc.
🔹 Requires coding knowledge but offers flexibility and powerful visualizations.
🔹 Free to use and highly extensible with packages.

4. STATA
🔹 Powerful tool for data management and statistical analysis.
🔹 Often used in clinical and epidemiological research.
🔹 Suitable for regression analysis, time-series, panel data, and survival analysis.
🔹 Offers both command-line and graphical user interfaces.

5. SAS (STATISTICAL ANALYSIS SYSTEM)
🔹 Comprehensive software suite for data management, advanced analytics, multivariate analysis, and predictive modeling.
🔹 Used extensively in large-scale research, particularly in pharma and public health sectors.
🔹 Requires training due to complex syntax.

6. EPI INFO
🔹 Free software developed by the CDC (Centers for Disease Control and Prevention).
🔹 Designed for epidemiological studies and public health research.
🔹 Useful for questionnaire design, data entry, and analysis.

7. MINITAB
🔹 Easy-to-use statistical software for teaching, quality control, and industrial research.
🔹 Commonly used for statistical process control (SPC), regression, ANOVA, and graphical analysis.
🔹 Provides guided learning tools.

8. GRAPH PAD PRISM
🔹 Preferred software in biomedical and clinical research.
🔹 Combines basic statistics with scientific graphing.
🔹 Ideal for small sample data analysis, especially in lab studies.
🔹 User-friendly interface with visual results.