This test is used for testing the normality of data. Normality of data is one of the standardized assumptions that has to be fulfilled in many statistics tests such as t test and F test. The main reason that assumption of normality is needed in many statistics tests, because those tests procedure is based on distribution which comes from normal distribution. The Jarque-Bera test uses skewness and kurtosis measurements. Jarque-Bera statistics follows chi-square distribution with two degrees of freedom for large sample. The null hypothesis in this test is data follow normal distribution.
The formula of Jarque-Bera
conclusion: Data follow normal distribution with 95% level of confidence.
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*) Writer is a lecturer inInstituteofStatistics,Jakarta,Indonesia.
Bachelor of Statistics fromInstituteofStatistics,Jakarta,Indonesia.
Master of Science in Experimental Statistics fromNMSU,USA.