Abstract
In this chapter, we discuss the fundamental principles behind two of the most frequently used statistical inference procedures: confidence interval estimation and hypothesis testing. both procedures are constructed on the sampling distributions that we have learned in previous chapters. To better understand these inference procedures, we focus on the logic of statistical decision making and the role that experimental data play in the decision process. Numerical examples are used to illustrate the implementation of the discussed procedures. This chapter also introduces some of the most important concepts associated with confidence interval estimation and hypothesis testing, including P values, significance level, power, sample size, and two types of errors. We conclude the chapter with a brief discussion on statistical and practical significance of test results.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
So it is a statistic and a random variable!
References
Mood, A. M., Graybill, F. A., and Boes, D. C. (1974) Introduction to the Theory of Statistics, 3rd ed. New York, McGraw-Hill.
Arnold, S. F. (1990) Mathematical Statistics. Englewood Cliffs, Prentice-Hall.
Maisel, A. S., Krishnaswamy, P., Nowak, R. M., McCord, J., Hollander, J. E., Duc, P., Omland, T., Storrow, A. B., Abraham, W. T., and Wu, A. H. B. (2002). Rapid measurement of B-type natriuretic reptide in the emergency diagnosis of heart failure. N. Engl. J. Med. 347(3), 161–167.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Humana Press Inc., Totowa, NJ
About this protocol
Cite this protocol
Tu, W. (2007). Basic Principles of Statistical Inference. In: Ambrosius, W.T. (eds) Topics in Biostatistics. Methods in Molecular Biology™, vol 404. Humana Press. https://doi.org/10.1007/978-1-59745-530-5_4
Download citation
DOI: https://doi.org/10.1007/978-1-59745-530-5_4
Publisher Name: Humana Press
Print ISBN: 978-1-58829-531-6
Online ISBN: 978-1-59745-530-5
eBook Packages: Springer Protocols