If we reject the null hypothesis, we conclude that:

A) there is not enough statistical evidence to infer that the alternative hypothesis is true
B) there is enough statistical evidence to infer that the alternative hypothesis is true
C) there is not enough statistical evidence to infer that the null hypothesis is true
D) there is enough statistical evidence to infer that the null hypothesis is true
E) the test is statistically insignificant at whatever level of significance the test was conducted at

Null Hypothesis

The null hypothesis is a statement in statistics that suggests no significant effect or relationship exists in the population; it is the hypothesis that a statistical test aims to disprove.

Alternative Hypothesis

In hypothesis testing, the hypothesis that there is a significant difference between specified populations, which is considered if the null hypothesis is rejected.

Statistical Evidence

Data or information collected during an experimental or observational study that supports or refutes a statistical hypothesis.