Douglas Lind and William Marchal and Samuel WathenStatistical Techniques in Business and Economicshttps://www.mheducation.com/cover-images/Jpeg_250-high/1259666360.jpeg?404URL=https://shop.mheducation.com/mhshopweb/images/no_cover_140.png
Statistical Techniques in Business and Economics17th Edition
- This text presents concepts clearly and succinctly with a conversational writing style and illustrates concepts through the liberal use of business-focused examples that are relevant to the current world of a college student. - Lind's supporting pedagogy includes self-reviews, cumulative exercises, and coverage of software applications including Excel, Minitab, and MegaStat for Excel.
- Connect: A highly reliable, easy-to-use homework and learning management solution that embeds learning science and award-winning adaptive tools to improve student results.
The estimated
amount of time this product will be on the market is based on a number
of factors, including faculty input to instructional design and the
prior revision cycle and updates to academic research-which typically
results in a revision cycle ranging from every two to four years for
this product. Pricing subject to change at any time.
The estimated amount of time this product will be on the market is based on a number
of factors, including faculty input to instructional design and the prior revision cycle
and updates to academic research-which typically results in a revision cycle ranging from
every two to four years for this product. Pricing subject to change at any time.
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
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
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