Introduction to SPSS
• Overview of SPSS as a statistical analysis
package.
• Used in social sciences, marketing, health
research, and more.
What is SPSS?
• SPSS stands for Statistical Package for the
Social Sciences.
• Provides tools for data management,
statistical tests, and reporting.
Key Features
• • Data entry and management
• • Descriptive statistics
• • Inferential statistics
• • Graphs and charts
• • Syntax-based automation
Data Management
• SPSS allows importing, cleaning, transforming,
and labeling data.
• Supports Excel, CSV, SQL, and other formats.
Statistical Techniques
• • t tests
‑
• • ANOVA
• • Regression
• • Chi square tests
‑
• • Non parametric tests
‑
Graphs & Visualization
• Create bar charts, histograms, scatterplots,
boxplots, and more.
SPSS Syntax
• Automates analysis through command syntax.
• Ensures reproducibility and consistency.
Conclusion
• SPSS is a powerful tool for data analysis and
reporting.
• Ideal for researchers, analysts, and students.

software package for statistical analysis presentation -SPSS

  • 1.
    Introduction to SPSS •Overview of SPSS as a statistical analysis package. • Used in social sciences, marketing, health research, and more.
  • 2.
    What is SPSS? •SPSS stands for Statistical Package for the Social Sciences. • Provides tools for data management, statistical tests, and reporting.
  • 3.
    Key Features • •Data entry and management • • Descriptive statistics • • Inferential statistics • • Graphs and charts • • Syntax-based automation
  • 4.
    Data Management • SPSSallows importing, cleaning, transforming, and labeling data. • Supports Excel, CSV, SQL, and other formats.
  • 5.
    Statistical Techniques • •t tests ‑ • • ANOVA • • Regression • • Chi square tests ‑ • • Non parametric tests ‑
  • 6.
    Graphs & Visualization •Create bar charts, histograms, scatterplots, boxplots, and more.
  • 7.
    SPSS Syntax • Automatesanalysis through command syntax. • Ensures reproducibility and consistency.
  • 8.
    Conclusion • SPSS isa powerful tool for data analysis and reporting. • Ideal for researchers, analysts, and students.