When experimental results are statistically significant, this means the hypothesis has been

___Null __ hypothesis has been _Rejected

Explanation:

If the results obtained from the testing of a null hypothesis are statistically insignificant then it means that there were not enough proofs to support the null hypothesis and hence in virtue of insufficient proofs the null hypothesis is rejected.  

The meaning of significant does not implies that statistically significant null hypothesis is important. However, it simply means that statistically insignificant hypothesis have high probabilities to provides less evidence in order to support the thesis.  

The probability value of hypothesis must be less than 0.01 for a strong rejection of null hypothesis.  

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