choose the correct answer below.\na. statisti...

choose the correct answer below.\na. statistical significance refers to the logic of hypothesis - test needed to analyze a population, with some tests being more important than others. practical significance refers to how different a observed hypothesis is to a position in an application, with some tests being easier to perform than others.\nb. statistical significance refers to how an unusual event is unlikely to be solely against a null - world explanation, such as an every entry in a sample of size 50 having the same value. practical significance refers to those an unusual event is likely to actually appear in a real - world application.\nc. statistical significance refers to how an unusual event is unlikely to be solely against a null - world explanation, such as an every entry in a sample of size 50 having the same value. practical significance refers to whether the difference between the sample statistic and the parameter stated in the null hypothesis is large enough to be considered important in an application.\nd. statistical significance refers to the hypothesis test being performed to used in building theoretical foundations for other statistical work. practical significance means that the particular application of the hypothesis test is of great importance to the real world.

Answer

# Brief Explanations: Practical significance in hypothesis - testing means that the difference indicated in the null hypothesis is large enough to matter in an application. Statistical significance just indicates that the null hypothesis can be rejected based on sample data, but may not have real - world importance. Option D correctly describes this distinction. # Answer: D. Statistical significance means that the hypothesis test being performed is useful for building theoretical foundations for other statistical work. Practical significance means that the particular application of the hypothesis test is of great importance to the real - world.