This manual is for business analysts to enhance their statistical analysis skills, with case studies focusing mainly on Excel. It covers basic descriptive techniques, linear regression, forecasting, t-Test, chi-square, A/B testing, text data analysis, and Big Data management. Companion files include solution spreadsheets, sample files, and data sets.
The course starts with data shaping and cleaning, installing the Analysis ToolPak, and descriptive statistics. It progresses through histograms, scatter plots, Pareto analysis, correlation, linear and multivariate regression, and forecasting. Advanced topics include inferential statistics, contingency analysis, and A/B testing. The final chapters cover text analytics, big data sets, and data visualization.
These techniques are crucial for informed business decisions. This book guides users from basic to advanced analysis, blending theory with practical skills. Companion files enhance learning, making this manual essential for mastering statistical analysis in business.

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Spis treści

Data Analysis for Business Decisions. A Laboratory Manual eBook -- spis treści

• 1. Shaping and Cleaning Data
• 2. Installing the Analysis ToolPak
• 3. Descriptive Statistics
• 4. Histograms
• 5. Pareto Analysis
• 6. Scatter Plots
• 7. Correlation and Linear Regression
• 8. Multivariate Regression
• 9. Forecasting and Time Series
• 10. Inferential Statistics
• 11. Contingency Analysis
• 12. A/B Testing
• 13. Text Analytics
• 14. Analyzing Big Data Sets
• 15. Data Visualization
• 16. Summary of Analysis Techniques