Business Statistics and Analytics in Practice: 2025 Release ISE - Anne M. Drougas

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Résumé :
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
...

Biographie:
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
...

Sommaire:
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
...