09
Apr
Rejection Of Null Hypothesis. A decision to reject the null is usually the desired outcome we want a. If our statistical analysis shows that the significance level is below the cut-off value we have set eg either 005 or 001 we reject the null hypothesis and accept the alternative hypothesis. When this happens the result is said to be statistically significant. Given two sample means are equal.
Rejection of null hypothesis. This means that if the P value is less than 005 you reject the null hypothesis. When the null hypothesis is rejected the effect is said to be statistically significant. We now have all the pieces of information to either accept the Null Hypothesis or to reject it. If the P-value is less than or equal to the α there should be a rejection of the null hypothesis in favour of the alternate hypothesis. Null Hypothesis and Alternative Hypothesis.
Understanding rejection of Null Hypothesis PhD Statistics Service.
A null hypothesis is a type of conjecture used in statistics that proposes that there is no difference between certain characteristics of a population or data-generating process. The rejection of null hypothesis will be valid only if this is true. If the absolute value of the t-value is less than the critical value you fail to reject the null hypothesis. Given two sample means are not equal. Rejecting or failing to reject the null hypothesis Lets return finally to the question of whether we reject or fail to reject the null hypothesis. Your results are not significant.