A study of methods for determining confidence intervals for the mean of a normal distribution with unknown varience by comparison of average lengths

Author

Karl Richard Kneile

Abstract

“The purpose of this thesis is to briefly review various properties which may be desirable for a system of confidence intervals; and to empirically determine whether the system of confidence intervals obtained from the Student’s t distribution will produce shorter average lengths than those obtained by other methods which may be used. It was concluded from the results of an empirical investigation that there was no significant difference between the average lengths of confidence intervals obtained from a family of distributions of which the Student’s t is a member"--Abstract, page ii.

Advisor(s)

Antle, Charles E.

Committee Member(s)

McFarland, Charles E.
Fuller, Harold Q., 1907-1996
Johnson, Charles A.

Department(s)

Mathematics and Statistics

Degree Name

M.S. in Mathematics

Publisher

Missouri School of Mines and Metallurgy

Publication Date

1963

Pagination

v, 31 pages

Note about bibliography

Includes bibliographical references (page 30).

Rights

© 1963 Karl Richard Kneile, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 1531

Print OCLC #

5954663

Link to Catalog Record

http://merlin.lib.umsystem.edu/record=b2609466~S5

Recommended Citation

Kneile, Karl Richard, "A study of methods for determining confidence intervals for the mean of a normal distribution with unknown varience by comparison of average lengths" (1963). Masters Theses. 2820.
https://scholarsmine.mst.edu/masters_theses/2820