Loose Leaf for Business Statistics and Analytics in Practices

Chapter 1 An Introduction to Business Statistics and AnalyticsChapter 2 Descriptive Statistics and Analytics: Tabular and Graphical MethodsChapter 3 Descriptive Statistics and Analytics: Numerical MethodsChapter 4 Probability and Probability ModelsChapter 5 Predictive Analytics I: Trees, k-Nearest Neighbors, Naive Bayes’, and Ensemble EstimatesChapter 6 Discrete Random VariablesChapter 7 Continuous Random VariablesChapter 8 Sampling DistributionsChapter 9 Confidence IntervalsChapter 10 Hypothesis TestingChapter 11 Statistical Inferences Based on Two SamplesChapter 12 Experimental Design and Analysis of VarianceChapter 13 Chi-Square TestsChapter 14 Simple Linear Regression AnalysisChapter 15 Multiple Regression and Model BuildingChapter 16 Predictive Analytics II: Logis¬tic Regression, Discriminate Analysis, and Neural NetworksChapter 17 Time Series Forecasting and Index NumbersChapter 18 Nonparametric MethodsChapter 19 Decision TheoryChapter 20 (Online) Process Improvement Using Control Charts for WebsiteAppendix A Statistical TablesAppendix B (Online) Chapter by Chapter MegaStat Appendices