Statistical Techniques in Business and Economics
17th Edition
9354600670
·
9789354600678
© 2021 | Published: October 18, 2021
OverviewStatistical Techniques in Business and Economics provides readers with an introductory survey of descriptive and inferential statistics. The text is interspersed with examples and exercises focusing on business applications as well as on the …
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1. What Is Statistics?
2. Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation
3. Describing Data: Numerical Measures
4. Describing Data: Displaying and Exploring Data
5. A Survey of Probability Concepts
6. Discrete Probability Distributions
7. Continuous Probability Distributions
8. Sampling Methods and the Central Limit Theorem
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11. Two-Sample Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression Analysis
15. Nonparametric Methods: Nominal Level Hypothesis Tests
16. Nonparametric Methods: Analysis of Ordinal Data
17. Index Numbers
18. Time Series and Forecasting
19. Statistical Process Control and Quality Management
20. An Introduction to Decision Theory
2. Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation
3. Describing Data: Numerical Measures
4. Describing Data: Displaying and Exploring Data
5. A Survey of Probability Concepts
6. Discrete Probability Distributions
7. Continuous Probability Distributions
8. Sampling Methods and the Central Limit Theorem
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11. Two-Sample Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression Analysis
15. Nonparametric Methods: Nominal Level Hypothesis Tests
16. Nonparametric Methods: Analysis of Ordinal Data
17. Index Numbers
18. Time Series and Forecasting
19. Statistical Process Control and Quality Management
20. An Introduction to Decision Theory
Overview
Statistical Techniques in Business and Economics provides readers with an introductory survey of descriptive and inferential statistics. The text is interspersed with examples and exercises focusing on business applications as well as on the current world around us. The book supports the development of basic data analytics skills. In keeping with recent trends, an entire section has been dedicated to Data Analytics. A variety of statistical software has been made available to complement the text.
key Features:
1. Already established as a popular textbook on the subject area, Statistical Techniques in Business and Economics, 17e continues to take the legacy forward with recent updates.
2. Section on Data Analytics at the end of every chapter
3. Comprehensive coverage of the entire gamut of topics on business statistics
4. Wide array of pedagogical features including chapter opening exercises, introduction to the topic, self-reviews, statistics in action boxes, computer output, pronunciation keys, software commands, and data analytics
5. Text complemented with popular software applications such as Megastat with MS Excel, Minitab, SPSS, and JMP
Statistical Techniques in Business and Economics provides readers with an introductory survey of descriptive and inferential statistics. The text is interspersed with examples and exercises focusing on business applications as well as on the current world around us. The book supports the development of basic data analytics skills. In keeping with recent trends, an entire section has been dedicated to Data Analytics. A variety of statistical software has been made available to complement the text.
key Features:
1. Already established as a popular textbook on the subject area, Statistical Techniques in Business and Economics, 17e continues to take the legacy forward with recent updates.
2. Section on Data Analytics at the end of every chapter
3. Comprehensive coverage of the entire gamut of topics on business statistics
4. Wide array of pedagogical features including chapter opening exercises, introduction to the topic, self-reviews, statistics in action boxes, computer output, pronunciation keys, software commands, and data analytics
5. Text complemented with popular software applications such as Megastat with MS Excel, Minitab, SPSS, and JMP
