Final answer:
To determine patients positive on only Test1, the total number of positives for Test1 and the number positive on both tests are required. A false positive occurs due to low test specificity. The type of data collected from word lengths is quantitative continuous.
Step-by-step explanation:
Understanding Probability in Medical Testing
To determine how many patients tested positive on only Test1 without any additional context on the specific tests is challenging. However, generally speaking, to solve such a problem, we would need data indicating the total number of positive results for Test1 and the number of patients who tested positive for both Test1 and Test2. By subtracting the latter from the former, we can ascertain the number of patients who tested positive on Test1 only. Moving on to the false-positive rate, a false positive occurs when a test indicates the presence of a condition (like a disease) when it is not actually present. The specificity of a test impacts its false-positive rate—the higher the specificity, the lower the probability of false positives.