Business Statistics and Analytics in Practice: 2025 Release ISE

1265086958 · 9781265086954
The 2025 release of Business Statistics and Analytics in Practice offers a comprehensive approach to teaching business statistics and analytics. It covers essential topics like probability modeling, regression, and time series, while seamlessly integ… Read More
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1.  An Introduction to Business Statistics and Analytics 
2.  Descriptive Statistics and Analytics: Tabular and Graphical Methods 
3.  Descriptive Statistics and Analytics: Numerical Method
4.  Probability and Probability Models
5.  Predictive Analytics I: Trees, k-Nearest Neighbors, Naive Bayes’, and Ensemble Estimates 
6.  Discrete Random Variables 
7.  Continuous Random Variables 
8.  Sampling Distributions 
9.  Confidence Intervals 
10. Hypothesis Testing 
11. Statistical Inferences Based on Two Samples 
12. Experimental Design and Analysis of Variance 
13. Chi-Square Tests 
14. Simple Linear Regression Analysis 
15. Multiple Regression and Model Building 
16. Predictive Analytics II: Logistic Regression, Discriminate Analysis, and Neural Networks 
17. Time Series Forecasting and Index Numbers 
18. Nonparametric Methods 
19. Decision Theory 
20. (Online) Process Improvement Using Control Charts for Website 

Appendix A: Statistical Tables 
Appendix B: (Online) Chapter by Chapter MegaStat Appendices
The 2025 release of Business Statistics and Analytics in Practice offers a comprehensive approach to teaching business statistics and analytics. It covers essential topics like probability modeling, regression, and time series, while seamlessly integrating modern tools such as data mining and
predictive analytics. Real-world case studies and early introductions to advanced visualizations enhance practical learning, with Business Improvement conclusions-highlighted
in yellow and marked by BI icons-demonstrating how statistical analyses lead to actionable business decisions. With
hands-on experience using Excel, MegaStat, Minitab, JMP, and R, students are equipped with the skills needed to thrive in today’s data-driven business world.
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