A hypothesis is a statement made about the value of a population parameter. A hypothesis test uses a sample or an experiment to determine whether or not to reject the hypothesis.
The null hypothesis is what we assume to be correct.
The alternative hypothesis tells us about the parameter if our assumption is shown to be wrong.
The test statistic is used to test the hypothesis. It could be the result of the experiment or statistics calculated from a sample.
The critical value is the first value to fall inside of the critical region.
A critical region is a region of the probability distribution which, if the test statistic falls within it, would cause you to reject the null hypothesis.