book chapter · Wiley eBooks · 2012

Underlying Theory of Statistical Inference

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Abstract

The process improvement frameworks use statistical inference, a general methodology that includes several individual tools (such as confidence intervals and hypothesis tests). The theory of statistical inference is used to determine the appropriate formulas for confidence intervals or the hypothesis tests, such as t-tests or F-tests, and it includes the mathematical basis for these formulas. This chapter explains some of the key theoretical concepts that underlie statistical inference and explain the concepts of the normal and other probability distributions, sampling distributions, linear combinations, and transformations.

Cite this paper

APA 7

Hoerl, R. W., & Snee, R. D. (2012). Underlying Theory of Statistical Inference. Wiley eBooks, 355–412. https://doi.org/10.1002/9781119202721.ch9

MLA 9

Hoerl, Roger W., and Ronald D. Snee. “Underlying Theory of Statistical Inference.” Wiley eBooks, 2012, pp. 355–412, https://doi.org/10.1002/9781119202721.ch9.

Chicago

Hoerl, Roger W., and Ronald D. Snee. 2012. “Underlying Theory of Statistical Inference.” Wiley eBooks: 355–412. https://doi.org/10.1002/9781119202721.ch9.

Harvard

Hoerl, R.W. and Snee, R.D. (2012) ‘Underlying Theory of Statistical Inference’, Wiley eBooks, pp. 355–412. Available at: https://doi.org/10.1002/9781119202721.ch9.

BibTeX

@incollection{hoerl2012underlying,
  title = {{Underlying Theory of Statistical Inference}},
  author = {Hoerl, Roger W. and Snee, Ronald D.},
  booktitle = {Wiley eBooks},
  pages = {355--412},
  year = {2012},
  doi = {10.1002/9781119202721.ch9}
}

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