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Article
Publication date: 1 October 1944

This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/eb031179. When citing the article, please…

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Abstract

This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/eb031179. When citing the article, please cite: T.J. Lunt, (1944), “Estimation of Batch Quality”, Aircraft Engineering and Aerospace Technology, Vol. 16 Iss: 10, pp. 305 - 305.

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Aircraft Engineering and Aerospace Technology, vol. 16 no. 10
Type: Research Article
ISSN: 0002-2667

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Article
Publication date: 1 October 1944

T.J. Lunt

A CERTAIN number of defectives, c, is observed in a sample of n articles drawn at random from a large batch. Nothing else is known about the batch. What inferences can be drawn as…

26

Abstract

A CERTAIN number of defectives, c, is observed in a sample of n articles drawn at random from a large batch. Nothing else is known about the batch. What inferences can be drawn as to the true but unknown proportion Q of defectives in the lot? In his book An Engineers' Manual of Statistical Methods, Col. L. E. Simon gives several charts which help to answer this question. The basic assumption made is that before sampling one “lot‐fraction‐defective” is as likely as another. The charts are based on the incomplete ?‐function ratio. They make no assumption of homogeneity. From these charts the accompanying alignment charts have been constructed. The degree of accuracy is not, of course, as high as in Simon's charts, but it is thought that it will be high enough for practical purposes.

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Aircraft Engineering and Aerospace Technology, vol. 16 no. 10
Type: Research Article
ISSN: 0002-2667

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Book part
Publication date: 1 November 2012

Michael Truong and Anne Zanzucchi

In this chapter, we explore how new technologies, namely, video essays, audio-based feedback, and electronic portfolios, can transform traditional composition curriculum and…

Abstract

In this chapter, we explore how new technologies, namely, video essays, audio-based feedback, and electronic portfolios, can transform traditional composition curriculum and deepen student learning. We begin by discussing how new technologies connect and enhance learning experiences, especially within writing-intensive courses. For each of the three technologies, we provide a brief literature review, give a local case study, and conclude with suggested applications and related resources.

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Increasing Student Engagement and Retention Using Social Technologies
Type: Book
ISBN: 978-1-78190-239-4

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Book part
Publication date: 2 April 2021

Shuhan Chen and Peter Lunt

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Chinese Social Media
Type: Book
ISBN: 978-1-83909-136-0

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Book part
Publication date: 30 June 2023

Lisa M. Given, Donald O. Case and Rebekah Willson

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Looking for Information
Type: Book
ISBN: 978-1-80382-424-6

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Book part
Publication date: 6 April 2020

Michael Calnan

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Health Policy, Power and Politics: Sociological Insights
Type: Book
ISBN: 978-1-83909-394-4

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Book part
Publication date: 30 June 2023

Lisa M. Given, Donald O. Case and Rebekah Willson

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Looking for Information
Type: Book
ISBN: 978-1-80382-424-6

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Book part
Publication date: 30 June 2023

Lisa M. Given, Donald O. Case and Rebekah Willson

Free Access. Free Access

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Looking for Information
Type: Book
ISBN: 978-1-80382-424-6

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Book part
Publication date: 30 March 2016

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Emerging Directions in Doctoral Education
Type: Book
ISBN: 978-1-78560-135-4

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Book part
Publication date: 17 May 2021

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The Role of External Examining in Higher Education: Challenges and Best Practices
Type: Book
ISBN: 978-1-83982-174-5

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