A Note on Confidence Interval for the Power of the One Sample t Test. (17th August 2010)
- Record Type:
- Journal Article
- Title:
- A Note on Confidence Interval for the Power of the One Sample t Test. (17th August 2010)
- Main Title:
- A Note on Confidence Interval for the Power of the One Sample t Test
- Authors:
- Wong, A.
- Other Names:
- Gao Junbin B. Academic Editor.
- Abstract:
- Abstract : In introductory statistics texts, the power of the test of a one-sample mean when the variance is known is widely discussed. However, when the variance is unknown, the power of the Student'st -test is seldom mentioned. In this note, a general methodology for obtaining inference concerning a scalar parameter of interest of any exponential family model is proposed. The method is then applied to the one-sample mean problem with unknown variance to obtain a( 1 − γ ) 100% confidence interval for the power of the Student'st -test that detects the difference( μ − μ 0 ) . The calculations require only the density and the cumulative distribution functions of the standard normal distribution. In addition, the methodology presented can also be applied to determine the required sample size when the effect size and the power of a sizeα test of mean are given.
- Is Part Of:
- Journal of probability and statistics. Volume 2010(2010)
- Journal:
- Journal of probability and statistics
- Issue:
- Volume 2010(2010)
- Issue Display:
- Volume 2010, Issue 2010 (2010)
- Year:
- 2010
- Volume:
- 2010
- Issue:
- 2010
- Issue Sort Value:
- 2010-2010-2010-0000
- Page Start:
- Page End:
- Publication Date:
- 2010-08-17
- Subjects:
- Probabilities -- Periodicals
Mathematical statistics -- Periodicals
Mathematical statistics
Probabilities
Periodicals
519 - Journal URLs:
- https://www.hindawi.com/journals/jps/ ↗
- DOI:
- 10.1155/2010/139856 ↗
- Languages:
- English
- ISSNs:
- 1687-952X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10363.xml