BS 2846-7 is an International Standard that gives guidance on methods and tests for use in deciding whether or not the hypothesis of a normal distribution should be rejected, assuming that the observations are independent.
The tests for departure from the normal distribution selected in BS 2846-7 are primarily intended for complete data, not grouped data. They are unsuitable for censored data. The tests for departure from the normal distribution selected in BS 2846-7 may be applied either to observed values or to functions of them, such as the logarithm of the square root. Tests for departure from the normal distribution are very ineffective for samples of size less than eight. Accordingly, BS 2846-7 is restricted to samples of eight or more.
BS 2846-7 on tests for departure from normality is useful for:
Normality tests are used in statistics to examine if a data set is well-modeled by a normal distribution and to compute the likelihood that a random variable underlying the data set is normally distributed. A quantity that is meaningful in terms of the data, rather than a P-value from a test statistic, should be used to analyze a sample's departure from a normal distribution.
Normality tests are used in statistics to examine if a data set is well-modeled by a normal distribution and to compute the likelihood that a random variable underlying the data set is normally distributed. BS 2846-7 provides its users with definitions and symbols, directional test methods, instructions for the omnibus test, and joint test using several independent samples. Using BS 2846-7 guidelines ensures uniform collection of data, quality control, and methods for easier calculations and statistical analysis.