BS 2846-7:1984
Superseded
A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.
A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.
Hardcopy , PDF
09-15-1997
English
01-31-1984
Foreword
Committees responsible
Guide
0 Introduction
1 Scope and field of application
2 General
3 Examination of the hypothesis of normality by
means of a graph
4 Directional tests
4.1 General
4.2 Directional test for asymmetry in sqrt b1 : ( 8
less than or equal to n less than or equal to 1000)
4.3 Directional test for kurtosis using b2 : (8 less
than or equal to n less than or equal to 1000)
5 Joint test using modulus sqrt b1 and b2
5.1 General
5.2 Joint test using modulus sqrt b1 and b2
6 Omnibus tests
6.1 General
6.2 Shapiro-Wilk test: (3 less than or equal to n less
than or equal to 50)
6.3 D'Agostino test: (50 less than or equal to n less
than or equal to 1000)
Tables
1 Results x(k) of a series of 15 independent wear
tests on rotary equipment and corresponding values
of log10 [10x(k)]
2 Depth of sapwood: series arranged according to the
non-decreasing values of 50 independent
observations
3 Series of 35 independent observations suspected of
being affected by a variation in the dispersion of
measurements
4 Distribution of the independent results of 1000
resistance tests
5 Annual amount of rainfall collected at a weather
station: ordered series of 44 values considered to
be independent
6 Test for assymetry, sqrt b1 fractiles of the order
P = 0.95 and 0.99
7 Test for kurtosis, b2 fractiles of the order
P = 0.01, 0.05, 0.95 and 0.99
8 Joint test using sqrt b1 and b2 (multidirectional)
9 Shapiro-Wilk test. Coefficients ak(W) necessary to
calculate the statistic W
10 Shapiro-Wilk test. Fractiles of the statistic W of
the order P = 0.01 and 0.05
11 D'Agostino test. Fractiles of the statistic W of
the order P = 0.005, 0.025, 0.975 and 0.995
Figures
1 Normal probability graph paper
2 Graph of a series of observations on normal
probability graph paper
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