Final answer:
To measure accuracy, one should use the count of true positive and true negative results over all results. In hypothesis testing with paired samples, measurements come from the same pair and means are compared. Accuracy and precision are different; accuracy refers to closeness to the true value, while precision refers to consistency of repeated results.
Step-by-step explanation:
To measure accuracy, take the number of true positive and true negative results and divide over the number of all results. Therefore, the correct answer is B: True positive and true negative.
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, and two sample means are compared to each other. Hence, D: Answer choices b and c are both true.
The accuracy of antibody tests is described in terms of test sensitivity and test specificity. High test sensitivity indicates a low probability of a false negative, while high test specificity indicates a low probability of a false positive.
The target patterns for accuracy and precision are used to understand the difference between these two concepts. Precision reflects how consistent repeated measurements are, whereas accuracy reflects how close a measurement is to the true value.