Business statistics and analytics in practice / Bruce L. Bowerman, Anne M. Drougas, William M. Duckworth, and [4 others] ; with major contributions by Steven C. Huchendorf, Dawn C. Porter.

By: Bowerman, Bruce L [author]
Contributor(s): Drougas, Anne M [author] | Duckworth, William Maury [author] | Froelich, Amy Goodwin [author]
Language: English Series: The McGraw-Hill/Irwin series: operations and decision sciencesPublisher: New York, NY : McGraw-Hill Education, [2019]Publisher: c2019Edition: Ninth editionDescription: xxiii, 906 pages : colour illustrations ; 28 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781260287844Subject(s): Commercial statistics | StatisticsDDC classification: 519.502465
Contents:
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: Logistic 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
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Home library Call number Status Date due Barcode Item holds
BOOK BOOK COLLEGE LIBRARY
COLLEGE LIBRARY
SUBJECT REFERENCE 		519.502465 B676 2019 (Browse shelf) Available CITU-CL-50235
Total holds: 0

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: Logistic 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

There are no comments for this item.

to post a comment.