Suppose we fit a VAR model to 6 time series simultaneously. At the 0.05 significance level, a 0.03 p-value of the Jarque-Bera test means that:
a) The constant variance assumption is not violated
b) The normality assumption is not violated
c) The normality assumption is violated
d) The constant variance assumption is violated
Solution:
Consider the Jarque-Bera test . It is a goodness of fit test.
The null hypothesis of this test is stated as
H0 : The data in each mix design comes from a normal distribution with unknown mean and variance.
i.e. There is the normality assumption in the null hypothesis.
Here in the given test , p value = 0.03
= 0.05 ..significance level
p value is less than significance level
The null hypothesis is rejected at 0.05 significance level.
The normality assumption is violated.
Option c is correct
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