Cover: Learning-Curve Tables

Learning-Curve Tables

Volume I, 55-69 Percent Slopes

Published 1970

by H. E. Boren, Harry G. Campbell


Download eBook for Free

Part 1

Prefatory Material, Section I, II, III (Part 1 of 3)

FormatFile SizeNotes
PDF file 7.2 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

Part 2

Section III (Part 2 of 3)

FormatFile SizeNotes
PDF file 8.8 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

Part 3

Section III (Part 3 of 3)

FormatFile SizeNotes
PDF file 9.1 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.


Purchase Print Copy

 Format Price
Add to Cart Paperback324 pages $60.00

A three-volume compilation to assemble all the information a cost analyst is likely to need in using learning-curve data, including unit curve midpoints for plotting first-lot quantities. Accurate representation of the first-lot quantity is important, because misplacing this point could lead to incorrect conclusions about the cost-quantity relationship. In the past, unit curve midpoints were estimated by various approximation methods, because the calculations to obtain tables of true midpoints were complex and laborious. Now, through use of high-speed computers, such calculations can be made quickly and inexpensively. Consequently, in addition to the usual data listed in learning-curve tables, these volumes present first-lot midpoints of the unit curves for both log-linear unit curves and log-linear cumulative average curves. All slopes from 55 through 99 percent and all quantities from one through 2000 are covered. Calculations were performed in double precision arithmetic on the IBM 360/65 computer at RAND.

This report is part of the RAND research memorandum series. The Research Memorandum was a product of RAND from 1948 to 1973 that represented working papers meant to report current results of RAND research to appropriate audiences.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.