UNLIMITED FREE
ACCESS
TO THE WORLD'S BEST IDEAS

SUBMIT
Already a GlobalSpec user? Log in.

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.

Customize Your GlobalSpec Experience

Finish!
Privacy Policy

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.

ASTM International - ASTM D4686-91(1998)

Standard Guide for Identification and Transformation of Frequency Distributions

inactive
Buy Now
Organization: ASTM International
Publication Date: 10 March 1998
Status: inactive
Page Count: 4
ICS Code (Textile fabrics): 59.080.30
scope:

1.1 This guide gives the rudiments of identification of some of the most common and useful frequency distributions. It does not give rigorous identification. To achieve exactitude, the procedures similar to those given by Shapiro should be used.

1.2 This guide provides a key to identify frequency distributions.

1.3 This guide gives ways to select the proper transformation to use to transform a particular set of data to one which can be modeled by the normal distribution, if such a transformation can be found at all.

1.4 This guide includes the following topics:

Topic Title Section Scope 1 Referenced Documents 2 Terminology 3 Significance and Use 4 Key to Distributions 5 Binomial Frequency Distribution 6 Poisson Frequency Distribution 7 Normal Frequency Distribution 8 Sample Average Distribution 9 Other Distributions 10 Transformations of Data 11

Document History

ASTM D4686-91(1998)
March 10, 1998
Standard Guide for Identification and Transformation of Frequency Distributions
1.1 This guide gives the rudiments of identification of some of the most common and useful frequency distributions. It does not give rigorous identification. To achieve exactitude, the procedures...
July 15, 1991
Standard Guide for Identification and Transformation of Frequency Distributions (Withdrawn 2009)
1.1 This guide gives the rudiments of identification of some of the most common and useful frequency distributions. It does not give rigorous identification. To achieve exactitude, the procedures...
Advertisement