Business Statistics Australia New Zealand 7th Edition Selvanathan Solutions Manual

Business Statistics Australia New Zealand 7th Edition Selvanathan Solutions Manual

Product details:

Statistical data analysis is the backbone of sound business decision making, and finding the right tool to analyse a particular business problem is the key. By learning the fundamentals of statistical reasoning and data analysis, you will be on the way to becoming a better manager, analyst or economist. By providing a framework for solving statistical problems, this seventh Australian and New Zealand edition of Business Statistics teaches skills that you can use throughout your career. The book shows you how to analyse data effectively by focusing on the relationship between the kind of problem you face, the type of data involved and the appropriate statistical technique for solving the problem. Business Statistics emphasises applications over theory

Table contents:

1. Chapter 1: What Is Statistics
2. Chapter 2: Types of Data, Data Collection and Sampling
3. Chapter 3: Graphical Descriptive Techniques – Nominal Data
4. Chapter 4: Graphical Descriptive Techniques – Numerical Data
5. Chapter 5: Numerical Descriptive Measures
6. Chapter 6: Probability
7. Chapter 7: Random Variables and Discrete Probability Distributions
8. Chapter 8: Continuous Probability Distributions
9. Chapter 9: Statistical Inference and Sampling Distributions
10. Chapter 10: Estimation: Describing a Single Population
11. Chapter 11: Estimation: Comparing Two Populations
12. Chapter 12: Hypothesis Testing: Describing a Single Population
13. Chapter 13: Hypothesis Testing: Comparing Two Populations
14. Chapter 14: Inference About Population Variances
15. Chapter 15: Analysis of Variance
16. Chapter 16: Additional Tests for Nominal Data: Chi-squared Tests
17. Chapter 17: Simple Linear Regression and Correlation
18. Chapter 18: Multiple Regression
19. Chapter 19: Model Building
20. Chapter 20: Nonparametric Statistics
21. Chapter 21: Statistical Inference: Conclusion
22. Chapter 22: Time Series Analysis and Forecasting
23. Chapter 23: Index Numbers

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