BERA is an electro-physiological test procedure which studies the electrical potential generated at the various levels of the auditory system starting from cochlea to cortex. conclusion: Data follow normal distribution with 95% level of confidence. What Abnormal Results Mean Abnormal test results may be a sign of hearing loss , multiple sclerosis , acoustic neuroma , or stroke. A printout of your test results should show spikes in your brain activity each time you heard one of the clicking sounds or other tones. Because the p-value is 0.4631, which is greater than the significance level of 0.05, the decision is to fail to reject the null hypothesis. Key Result: P-Value. The formula of Jarque-Bera. Results will depend on the person and the instruments used to perform the test. Sometimes, the result might be “inconclusive.” That means the lab doesn’t have a clear yes or no answer based on your sample. i am not able to interpret them. please help Continued. Jun 23, 2010 #1. This investigation was first described by Jewett and Williston in 1971. The null hypothesis for the test is that the data is normally distributed; the alternate hypothesis is that the data does not come from a normal distribution.. What the Results Mean. JB = n [(√b1) 2 / 6 + (b 2 – 3) 2 / 24]. Jarque-Bera statistics follows chi-square distribution with two degrees of freedom for large sample. What does this mean? Thank you! The null hypothesis in this test is data follow normal distribution. Thread starter LillyLawson; Start date Jun 23, 2010; L. LillyLawson New Member. Dear all, When I test my data for normality of distribution, I obtain the Jarque Bera value of 280 and a p-value of 0. BERA (Brainstem evoked response audiometry), ABR (Auditory brain stem response), BAER (Brainstem auditory evoked response audiometry). Which makes me wonder how bad it is that the Jarque-Bera test keeps being significant. the Where: n is the sample size, √b 1 is the sample skewness coefficient, b 2 is the kurtosis coefficient.. How to interpret Jarque Bera results. Prob(Jarque-Bera): It i in line with the Omnibus test. Jun 23, 2010 #1. The Jarque-Bera test uses skewness and kurtosis measurements. Assess model bias. Results from a misspecified OLS model are not trustworthy. i have run the Jarque -Bera test and have obtained the following results, JB=11.62 and p=1. The Jarque-Bera test statistic is defined as: \( \frac{N}{6} \left( S^2 + \frac{(K - 3)^2}{4} \right) \) with S, K, and N denoting the sample skewness, the sample kurtosis, and the sample size, respectively. A statistically significant Jarque-Bera test can also occur if you are trying to model nonlinear relationships, if your data include influential outliers, or when there is strong heteroscedasticity. 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