By. M.A.Yulianto.*)
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.
See you in other writing sessions, have enjoying statistics.
Any questions, send to the e-mail address: yuliantoyorki@yahoo.com
*) Writer is a lecturer inInstituteofStatistics,Jakarta,Indonesia.
Bachelor of Statistics fromInstituteofStatistics,Jakarta,Indonesia.
Master of Science in Experimental Statistics fromNMSU,USA.
digensia 
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Good day, Sir! I am indeed thankful of your post sir. I am Mary Ann Grace Otic, a graduating statistics student in Mindanao State University-Main Campus here in the Philippines. My thesis topic is about Jarque-Bera Test and my thesis adviser wants to include the power test of Jarque-Bera test sir; but I couldn’t really understand how to perform it’s power test. Sir, I really need your advice because I’m so confused about its power and what available software could be used in performing the power test of Jarque-Bera Test for normality. Sir, I would be very glad and honor if you could just give me any idea about this sir. Also, I would really appreciate your immediate answer sir. Thank you sir for your time. God Bless & more power.