Insignificant
The Null Hypothesis Significance testing forms an important part quantitative research The null hypothesis is developed for the express purpose of rejection since the alternative hypothesis is not empirically testable. This is also known as Null Hypothesis Significance Testing. The rejection and acceptance of Null Hypothesis is based on level of Significance. A set of data is insignificant for a particular population when the null hypothesis is accepted.
In psychological, sociological and educational researches there are two level of Significance which are widely used for testing null hypothesis. They are 0.05 level or the 5% level and 0.01 level or the 1% level. Other than these any other level of Significance can be used according to the desirability of the research design. If null hypothesis is rejected at 0.05 level that means 5 times in 100 replication of the experiment, the null hypothesis is true and 95 times the alternative hypothesis is true. In other words 95 out of 100 trails of the experiment the change on dependent variable is due to independent variable, than due to chance factor.