Statistical Analysis for HR
0 likes936 views
The document discusses various tools for statistical analysis in HR, including spreadsheets, databases, analysis software, big data tools, and data visualization platforms. It covers methods for data manipulation and measures of central tendency, as well as specific analysis techniques like crosstab and regression analysis. The document highlights the pros and cons of each tool type, along with their applications in handling and interpreting data.
Statistical Analysis for HR
- 1. Statistical analysis for HR Aarti Sirohi Pranab Kishor
- 2. Contents • Tools for Statistical Analysis • Analysis Using SPSS • Graphs, Tables, Spreadsheets, Data manipulation (using Excel) • Measures of central tendency
- 3. Tools for Statistical Analysis 1. Spreadsheets 2. Database 3. Analysis Software 4. Big Data tools 5. Data Visualization
- 4. Spreadsheets • MS-Excel, Google Spreadsheet, Libre Office • Collection, Organization • Pros • Easy to use • Accessible • Availability • Cons • Limited Features • Gets unintuitive with large and complex data
- 5. Database • Sequel Pro, Microsoft SQL, Oracle, Amazon RDS • Full fledge relational database • Relational Database - Rows and Columns • API for other programs • Shorting, Retrieving, Manipulation • Cons Lacks Analysis tools
- 6. Analysis Software • Software Packages SAS, SPSS, Mat lab, Minitab, Stata • User Friendly • Smooth learning curve • Less Customization • Costly • Programing Language R, Python • Reduces Cost • Provides flexibility • Better visualization • Steep Learning Curve • Requires basic understanding of computer programing
- 7. Big Data tools • Hadoops, Apache Spark, Delta Lake • Stores and Processes Huge Amount of Data • Decentralization • Security • Performance • Real-time Analytics • Cost Intensive • Efficient for Large Organization
- 8. Data Visualization • Tableu, Qlick Veiw, MS – Power BI, Fusion Charts • Presents data into understandable and attractive formats • Graphs, Charts, Diagrams etc.
- 9. Data Manipulation Excel • Spreadsheets • Graphs • Tables • Data manipulation
- 10. Measures of central tendency Data Type Appropriate Measure Interval Mean (If data is symmetrical) Median (If data is skewed) Ratio Mean (If data is symmetrical) Median (If data is skewed) Nominal Mode Ordinal Median
- 12. Analysis • Gender Representation • Crosstab Analysis in SPSS • Linear Regression • Establishing relationship b/w variables • logistic regression • For predictive analysis
- 13. THANK YOU "There are three kinds of lies: lies, damned lies, and statistics."