Statistics for business and economics
著者
書誌事項
Statistics for business and economics
Pearson, c2018
13th ed., student ed
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注記
Includes index
内容説明・目次
内容説明
For courses in Introductory Business Statistics.
Real Data. Real Decisions. Real Business.
Now in its Thirteenth Edition, Statistics for Business and Economics introduces statistics in the context of contemporary business. Emphasizing statistical literacy in thinking, the text applies its concepts with real data and uses technology to develop a deeper conceptual understanding. Examples, activities, and case studies foster active learning while emphasizing intuitive concepts of probability and teaching readers to make informed business decisions. The Thirteenth Edition continues to highlight the importance of ethical behavior in collecting, interpreting, and reporting on data, while also providing a wealth of new and updated exercises and case studies.
Also available with MyLab Statistics
MyLab (TM) Statistics is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.
NOTE: You are purchasing a standalone product; MyLab Statistics does not come packaged with this content. If you would like to purchase both the physical text and MyLab Statistics, search for:
0134763742 / 9780134763743 Statistics for Business and Economics Plus MyLab Statistics with Pearson eText -- Title-Specific Access Card Package, 13/e
Package consists of:
0134506596 / 9780134506593 Statistics for Business and Economics
0134748611 / 9780134748610 MyLab Statistics for Business Stats with Pearson eText -- Standalone Access Card -- for Statistics for Business and Economics
目次
1. Statistics, Data, and Statistical Thinking
2. Methods for Describing Sets of Data
3. Probability
4. Random Variables and Probability Distributions
5. Sampling Distributions
6. Inferences Based on a Single Sample: Estimation with Confidence Intervals
7. Inferences Based on a Single Sample: Tests of Hypotheses
8. Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses
9. Design of Experiments and Analysis of Variance
10. Categorical Data Analysis
11. Simple Linear Regression
12. Multiple Regression and Model Building
13. Methods for Quality Improvement: Statistical Process Control (Available Online)
14. Time Series: Descriptive Analyses, Models, and Forecasting (Available Online)
15. Nonparametric Statistics (Available Online)
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