Final answer:
The statement about equivalent form estimates is false; it is used to compare different versions of a test for consistency, not the same test at different times. When performing a hypothesis test on matched or paired samples, we compare measurements from pairs and their sample means.
Step-by-step explanation:
Equivalent form estimates compare test scores from the same test administered at two points in time to determine test equivalence. This statement is false. Equivalent form estimates usually involve comparing scores from different versions of a test to ensure that they are consistent and measure the same constructs to the same degree of difficulty.
When performing a hypothesis test on matched or paired samples, it is true that two measurements are drawn from the same pair of individuals or objects (B), and that two sample means are compared to each other (C). Therefore, answer choices B and C are both true.
If 95 percent of all confidence intervals are constructed correctly, they will contain the true value of the population mean statistics exam score. This underscores the importance of proper comparing the results in statistical analysis.
In the context of hypothesis testing and comparing proportions, such as pass rates, one could incorrectly conclude that pass rates are different when they are the same (as stated in option B), or conclude that one pass rate is greater than the other when it is not (as stated in option C).