Cart
0
Product
Products
(empty)
No products
To be determined
Shipping
$0.00
Total
Product successfully added to your shopping cart
Quantity
Total
There are 0 items in your cart.
There is 1 item in your cart.
Total products
Total shipping
To be determined
Total
Reduced price!
View larger
View larger
ANSI N15.15
New product
ANSI N15.15 74th Edition, January 1, 1974 Assessment of the Assumption of Normality (Employing Individual Observed Values)
More info
Description / Abstract:
Scope and Purpose
This standard describes statistical hypothesis-testing techniques that are designed to assist in the assessment of the assumption of normality by making use of all the individual observed values in a sample. There is no requirement that the number of observed values be "large', nor is it required that the observations be grouped into intervals with the attendant loss of information about the inter-value spacings. The procedures are called "omnibus" because they are appropriate for detecting departures from normality caused by any of several characteristics, including skewness (nonsystmetry) and kurtosis ("peakedness"). Empirical studies have demonstrated that these procedures generally are more effective than several others in wide currency (further details appear in Appendix A).
This standard describes statistical hypothesis-testing techniques that are designed to assist in the assessment of the assumption of normality by making use of all the individual observed values in a sample. There is no requirement that the number of observed values be "large', nor is it required that the observations be grouped into intervals with the attendant loss of information about the inter-value spacings. The procedures are called "omnibus" because they are appropriate for detecting departures from normality caused by any of several characteristics, including skewness (nonsystmetry) and kurtosis ("peakedness"). Empirical studies have demonstrated that these procedures generally are more effective than several others in wide currency (further details appear in Appendix A).