Contents
Do you reject if test statistic is less than critical value?
If the test statistic is less extreme than the critical value, do not reject the null hypothesis.
What if T stat is less than critical value?
If the absolute value of the t-value is less than the critical value, you fail to reject the null hypothesis. You can calculate the critical value in Minitab or find the critical value from a t-distribution table in most statistics books.
What does a low t test value mean?
If the probability is low enough, we can conclude that the effect observed in our sample is inconsistent with the null hypothesis. The evidence in the sample data is strong enough to reject the null hypothesis for the entire population.
What is T * critical value?
The t-critical value is the cutoff between retaining or rejecting the null hypothesis. Whenever the t-statistic is farther from 0 than the t-critical value, the null hypothesis is rejected; otherwise, the null hypothesis is retained.
When does the KPSS statistic exceed the critical value?
That is, if the p-value is less than 0.05, the kpss statistic will be greater than the 5% critical value. Finally, the number of lags reported is the number of lags of the series that was actually used by the model equation of the kpss test. By default, the statsmodels kpss() uses the ‘legacy’ method.
When does the KPSS test reject the null hypothesis?
In order to reject the null hypothesis, the test statistic should be greater than the provided critical values. If it is in fact higher than the target critical value, then that should automatically reflect in a low p-value. That is, if the p-value is less than 0.05, the kpss statistic will be greater than the 5% critical value.
What are the results of the KPSS test?
The KPSS tests gives the following results – test statistic, p value and the critical value at 1%, 5% , and 10% confidence intervals. KPSS test is now applied on the data. [8]: kpss_test(sunspots[‘SUNACTIVITY’]) Results of KPSS Test: Test Statistic 0.669866 p-value 0.016285 Lags Used 7.000000 Critical Value (10%) 0.347000 Critical Value (5%)
How is the KPSS test different from the ADF test?
A key difference from ADF test is the null hypothesis of the KPSS test is that the series is stationary. So practically, the interpretaion of p-value is just the opposite to each other. That is, if p-value is < signif level (say 0.05), then the series is non-stationary.